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Penn State University
1.
Hamilton, Christina Marie.
Investigating the Global Reduction of Information Exchange During Anesthetic-Induced Unconsciousness.
Degree: 2016, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/7d278t00k 
► During anesthetic-induced unconsciousness (AIU), the brain undergoes a dramatic change in its ability to exchange information between regions. However, the spatial distribution of information exchange…
(more)
▼ During anesthetic-induced unconsciousness (AIU), the brain undergoes a dramatic change in its ability to exchange information between regions. However, the spatial distribution of information exchange loss across the entire brain remains elusive. In this thesis
resting-
state functional magnetic resonance imaging (rsfMRI) data was acquired in rats during wakefulness and graded depths of anesthesia induced by incrementally increasing the concentration of isoflurane. We found that, regardless of spatial scale, the absolute functional connectivity (FC) change was significantly dependent on the FC strength at the awake
state across all connections. This dependency became stronger at higher doses of isoflurane. In addition, the relative FC change (i.e. the FC change normalized to the corresponding FC strength at the awake
state) exhibited a spatially homogenous reduction across the whole brain particularly after animals lost consciousness, indicating a globally uniform disruption of meaningful information exchange. To further support this notion, we showed that during unconsciousness, the entropy of rsfMRI signal increased to a value comparable to random noise while the mutual information decreased appreciably. Importantly, consistent results were obtained when unconsciousness was induced by dexmedetomidine, an anesthetic agent with a distinct molecular action than isoflurane. These findings provide compelling neuroimaging evidence suggesting that the brain undergoes a widespread, uniform disruption in the exchange of meaningful information during AIU, and that this change may represent a common systems-level neural mechanism of AIU.
Advisors/Committee Members: Nanyin Zhang, Thesis Advisor/Co-Advisor, Patrick Drew, Committee Member, Ping Li, Committee Member.
Subjects/Keywords: Resting State; fMRI; Anesthesia; Rat
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APA (6th Edition):
Hamilton, C. M. (2016). Investigating the Global Reduction of Information Exchange During Anesthetic-Induced Unconsciousness. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/7d278t00k
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Hamilton, Christina Marie. “Investigating the Global Reduction of Information Exchange During Anesthetic-Induced Unconsciousness.” 2016. Thesis, Penn State University. Accessed February 27, 2021.
https://submit-etda.libraries.psu.edu/catalog/7d278t00k.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hamilton, Christina Marie. “Investigating the Global Reduction of Information Exchange During Anesthetic-Induced Unconsciousness.” 2016. Web. 27 Feb 2021.
Vancouver:
Hamilton CM. Investigating the Global Reduction of Information Exchange During Anesthetic-Induced Unconsciousness. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Feb 27].
Available from: https://submit-etda.libraries.psu.edu/catalog/7d278t00k.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hamilton CM. Investigating the Global Reduction of Information Exchange During Anesthetic-Induced Unconsciousness. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/7d278t00k
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Cape Town
2.
Koopowitz, Sheri.
Neuroimaging and neurocognitive assessment of PTSD and MDD in a South African community setting.
Degree: PhD, Psychiatry and Mental Health, 2019, University of Cape Town
URL: http://hdl.handle.net/11427/30409
► Background: There is growing evidence of abnormalities in neurocognition, neuroanatomy, and functional connectivity in posttraumatic stress disorder (PTSD) and major depressive disorder (MDD). However, there…
(more)
▼ Background: There is growing evidence of abnormalities in neurocognition, neuroanatomy, and functional connectivity in posttraumatic stress disorder (PTSD) and major depressive disorder (MDD). However, there has been less work on individuals who suffer with comorbid PTSD and MDD. It is important to investigate the neurobiology of this overlap because of its prevalence, its associated morbidity, and the hope that it may shed more light on the mechanisms involved in each disorder, including the role of the prefrontal regions. This dissertation tests the hypothesis that women with PTSD and MDD display distinct patterns of neurocognitive impairment and associated brain dysfunction, relative to healthy controls, and these effects will be amplified in patients with both disorders. Methods: This dissertation was undertaken within the Drakenstein Child Health Study, a study exploring child health determinants in mother-infant dyads from the Drakenstein district, Western Cape. Mothers (between 18 and 50 years) were recruited and divided into 4 groups: PTSD, MDD, PTSD with MDD, and healthy controls. Participants were assessed using the computerised NIH Toolbox, and paper and pencil neurocognitive tests. Domains assessed included memory, learning, and processing speed, and with particular focus on executive function and attention domains. Participants underwent
resting-
state functional imaging as well as structural brain imaging. Functional connectivity within and between cognitive control networks (salience network, dorsal attention network, and frontoparietal networks) and a default mode network were compared across the 4 groups. Neuroanatomical indices (cortical thickness, volume, and surface area) of 10 frontal cortical regions from the Desikan-Killiany atlas in Freesurfer 6 were analysed across the 4 groups. Results: All three clinical groups demonstrated no group differences on measures of attention and executive function, diagnoses of PTSD and MDD were associated with more intrusive thoughts and delayed recall impairment, respectively. However, neurocognitive findings indicate that PTSD with comorbid MDD is not associated with greater neurocognitive dysfunction relative to mono-diagnostic groups. Abnormal
resting-
state connectivity was observed for the MDD group in the default mode network, and for both comorbid and MDD patient groups within frontoparietal networks. Abnormal salience network connectivity for the comorbid group was observed when examining performance on the Pattern Comparison Processing Speed test. No between-network connectivity group differences were observed. Surface area and volume reductions of prefrontal regions were evident for PTSD and MDD, however, no volumetric and surface area differences were observed for the comorbid group. Conclusion: In this sample of mothers from a low-middle income region, distinct patterns of neurocognitive dysfunction and impairment in PTSD, MDD, and PTSD with MDD were observed. However, contrary to hypotheses, comorbidity is not associated with greater dysfunction and…
Advisors/Committee Members: Ipser, Jonathan (advisor), Stein, Dan (advisor).
Subjects/Keywords: neurocognition; neuroimaging; resting-state; structural; comorbidity
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APA (6th Edition):
Koopowitz, S. (2019). Neuroimaging and neurocognitive assessment of PTSD and MDD in a South African community setting. (Doctoral Dissertation). University of Cape Town. Retrieved from http://hdl.handle.net/11427/30409
Chicago Manual of Style (16th Edition):
Koopowitz, Sheri. “Neuroimaging and neurocognitive assessment of PTSD and MDD in a South African community setting.” 2019. Doctoral Dissertation, University of Cape Town. Accessed February 27, 2021.
http://hdl.handle.net/11427/30409.
MLA Handbook (7th Edition):
Koopowitz, Sheri. “Neuroimaging and neurocognitive assessment of PTSD and MDD in a South African community setting.” 2019. Web. 27 Feb 2021.
Vancouver:
Koopowitz S. Neuroimaging and neurocognitive assessment of PTSD and MDD in a South African community setting. [Internet] [Doctoral dissertation]. University of Cape Town; 2019. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/11427/30409.
Council of Science Editors:
Koopowitz S. Neuroimaging and neurocognitive assessment of PTSD and MDD in a South African community setting. [Doctoral Dissertation]. University of Cape Town; 2019. Available from: http://hdl.handle.net/11427/30409
New Jersey Institute of Technology
3.
Girdhar, Megha.
Comparison between different techniques of preprocessing for resting state fMRI analysis.
Degree: MSin Biomedical Engineering - (M.S.), Biomedical Engineering, 2010, New Jersey Institute of Technology
URL: https://digitalcommons.njit.edu/theses/71
► Resting state functional connectivity as the name suggests is defined as significant temporal correlation between spatially distinct regions of the brain during rest. In…
(more)
▼ Resting state functional connectivity as the name suggests is defined as significant temporal correlation between spatially distinct regions of the brain during rest. In this thesis, fMRI
resting state dataset was analyzed using different available processing techniques with the same fMRI data to study differences between the various methods. All the imaging data from each of the subjects was processed in an identical fashion. The same method was used for detecting connectivity. The number of independent components in the data was used as the base to differentiate the effect of each of these methods. Independent component analysis was performed on each step after and before converting each dataset into MNI space to see the effect of normalization. In
resting state fMRI study, different algorithms of motion correction showed no significant difference in the results. Temporal filtering by rectangular filter for particular bands of frequency showed no significant difference in the data analysis. Gaussian and Hamming windows however, work well for the required purpose. In case of spatial smoothing, Unsharp and Sobel filters which emphasize on the edges resulted in an abnormally high increase in number of components which suggested low pass filters like Gaussian and Average are more suitable for fMRI preprocessing.
Advisors/Committee Members: Bharat Biswal, Tara L. Alvarez, Richard A. Foulds.
Subjects/Keywords: Resting state fMRI; Biomedical Engineering and Bioengineering
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APA (6th Edition):
Girdhar, M. (2010). Comparison between different techniques of preprocessing for resting state fMRI analysis. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/71
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Girdhar, Megha. “Comparison between different techniques of preprocessing for resting state fMRI analysis.” 2010. Thesis, New Jersey Institute of Technology. Accessed February 27, 2021.
https://digitalcommons.njit.edu/theses/71.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Girdhar, Megha. “Comparison between different techniques of preprocessing for resting state fMRI analysis.” 2010. Web. 27 Feb 2021.
Vancouver:
Girdhar M. Comparison between different techniques of preprocessing for resting state fMRI analysis. [Internet] [Thesis]. New Jersey Institute of Technology; 2010. [cited 2021 Feb 27].
Available from: https://digitalcommons.njit.edu/theses/71.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Girdhar M. Comparison between different techniques of preprocessing for resting state fMRI analysis. [Thesis]. New Jersey Institute of Technology; 2010. Available from: https://digitalcommons.njit.edu/theses/71
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Melbourne
4.
Ganella, Eleni.
Functional brain networks in schizophrenia: mapping connectivity and topology at early and late psychotic illness stages.
Degree: 2017, University of Melbourne
URL: http://hdl.handle.net/11343/213952
► Schizophrenia is a severe mental disorder that is characterised by symptoms including hallucinations, delusions and disorganized thought. The cause of schizophrenia remains unknown; however, it…
(more)
▼ Schizophrenia is a severe mental disorder that is characterised by symptoms including hallucinations, delusions and disorganized thought. The cause of schizophrenia remains unknown; however, it is thought that a combination of genetics, environment and altered neurobiology play a role in the emergence and perpetuation of the disorder. Accumulating evidence suggests that disrupted brain network connectivity may in part underlie the pathophysiology of psychosis, and that network connectivity is to some extent genetically determined and heritable. However, there is still much to be learned surrounding the nature of network abnormalities and how they differ in early versus late psychosis. Exploring the underlying neurobiology at discrete clinical stages of psychotic illness creates a framework to evaluate the biological factors that may be contributing to the progression from early psychosis, to more advanced chronic stages of the disorder.
This thesis used resting-state functional magnetic resonance imaging (fMRI) to characterise network functional connectivity and topology in early and late psychosis, as well as in a group of unaffected family members (UFM) of individuals with schizophrenia. Resting-state fMRI is a well validated and sensitive tool for probing the intrinsic functional integrity of the brain. Specifically, this thesis used a data-driven approach to map the temporal coherence of fMRI time series (functional connectivity) across the whole brain. To complement the resting-state functional connectivity (rs-FC) analysis, this thesis used graph theory to explore functional network topology. Network topology describes that brains ability to maintain a balance between local processing speed and global integration of information. These methodological approaches were used to investigate network abnormalities in three groups relative to healthy controls; a first-episode psychosis (FEP) group, a treatment-resistant schizophrenia (TRS) group and a group of UFM.
This thesis aimed to investigate 1) whether rs-FC and network topology was abnormal in the early FEP stage of schizophrenia relative to healthy controls at two time-points (baseline and at 12-months follow-up); 2) whether rs-FC and network topology was impaired in a chronic TRS group relative to healthy controls; 3) whether abnormal rs-FC and network topology was evident in a group of UFM, and whether any network measure could be characterised as a marker of risk or resilience to psychosis in UFM. Firstly, results showed no evidence of abnormal rs-FC or topology in FEP individuals relative to healthy controls at baseline, or at the 12-months follow-up. Further, longitudinal changes in network properties over a 12-month period did not significantly differ between FEP individuals and healthy controls. Secondly, this thesis found widespread reductions in rs-FC in the TRS group that predominantly involved temporal, occipital and frontal brain regions. The TRS group also showed reduced global network efficiency and increased local efficiency relative to…
Subjects/Keywords: schizophrenia; functional connectivity; neuroimaging; resting-state
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APA (6th Edition):
Ganella, E. (2017). Functional brain networks in schizophrenia: mapping connectivity and topology at early and late psychotic illness stages. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/213952
Chicago Manual of Style (16th Edition):
Ganella, Eleni. “Functional brain networks in schizophrenia: mapping connectivity and topology at early and late psychotic illness stages.” 2017. Doctoral Dissertation, University of Melbourne. Accessed February 27, 2021.
http://hdl.handle.net/11343/213952.
MLA Handbook (7th Edition):
Ganella, Eleni. “Functional brain networks in schizophrenia: mapping connectivity and topology at early and late psychotic illness stages.” 2017. Web. 27 Feb 2021.
Vancouver:
Ganella E. Functional brain networks in schizophrenia: mapping connectivity and topology at early and late psychotic illness stages. [Internet] [Doctoral dissertation]. University of Melbourne; 2017. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/11343/213952.
Council of Science Editors:
Ganella E. Functional brain networks in schizophrenia: mapping connectivity and topology at early and late psychotic illness stages. [Doctoral Dissertation]. University of Melbourne; 2017. Available from: http://hdl.handle.net/11343/213952
5.
Alexander, Jennifer Rose-Lee.
Exploring the Neural Basis of Emotion Regulation in Trichotillomania: A Resting-State Pilot Study.
Degree: 2020, Marquette University
URL: https://epublications.marquette.edu/dissertations_mu/984
► The emotion regulation (ER) model of trichotillomania (TTM) has spurred the development of the most efficacious treatments available for the highly impairing disorder. The transient…
(more)
▼ The emotion regulation (ER) model of trichotillomania (TTM) has spurred the development of the most efficacious treatments available for the highly impairing disorder. The transient nature of gains derived from these treatments, however, indicates the need for advancing this model. This pilot study investigated whether the extended process model of ER (Ochsner & Gross, 2014), which provides a conceptualization of the neurobiological underpinnings of ER, can be used to advance this model by advancing understanding of ER in TTM. Specifically, this study explored the intrinsic functional connectivity (iFC) of regions comprising a cognitive control system (i.e., the dorsolateral prefrontal cortex [PFC], ventrolateral PFC, dorsal posterior medial PFC, and dorsal anterior cingulate cortex) and valuation system (i.e., the amygdala and insula) in adults with and without TTM, as the extended process model of ER suggests these systems may underlie TTM.In total, 6 adults with TTM (M = 24.50 years, SD = 3.50) and 6 without (M = 19.50, SD = 1.38) completed this study. In their first in-person study visit, participants completed several self-report measures and were assessed with multiple clinician-rated measures. Participants underwent
resting-
state functional magnetic resonance imaging scanning in their second in-person visit.Results showed the participant groups significantly differed on self-reported ER difficulties, but only when self-reported anxiety and depression were not controlled. The participant groups did not significantly differ on iFC between or within the valuation and cognitive control systems, nor did they differ on iFC with any of the regions comprising these systems when anxiety and depression were controlled. However, results showed that, for participants with TTM, iFC between and within the valuation and cognitive control systems significantly correlated with self-reported ER difficulties, self-reported and clinician-rated TTM severity, and clinician-rated TTM impairment.Although this pilot study’s sample size precludes strong conclusions, the present findings suggest iFC between and within the valuation system may be particularly important in TTM pathology and, further, suggest treatments that modify iFC between and within these systems may be beneficial for TTM. Future research should explore this hypothesis. Future research should also continue to explore TTM neural underpinnings.
Advisors/Committee Members: Woods, Douglas W., Nielson, Kristy A., Larson, Christine L..
Subjects/Keywords: Emotion regulation; Resting-state fMRI; Trichotillomania; Psychology
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APA (6th Edition):
Alexander, J. R. (2020). Exploring the Neural Basis of Emotion Regulation in Trichotillomania: A Resting-State Pilot Study. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/dissertations_mu/984
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Alexander, Jennifer Rose-Lee. “Exploring the Neural Basis of Emotion Regulation in Trichotillomania: A Resting-State Pilot Study.” 2020. Thesis, Marquette University. Accessed February 27, 2021.
https://epublications.marquette.edu/dissertations_mu/984.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Alexander, Jennifer Rose-Lee. “Exploring the Neural Basis of Emotion Regulation in Trichotillomania: A Resting-State Pilot Study.” 2020. Web. 27 Feb 2021.
Vancouver:
Alexander JR. Exploring the Neural Basis of Emotion Regulation in Trichotillomania: A Resting-State Pilot Study. [Internet] [Thesis]. Marquette University; 2020. [cited 2021 Feb 27].
Available from: https://epublications.marquette.edu/dissertations_mu/984.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Alexander JR. Exploring the Neural Basis of Emotion Regulation in Trichotillomania: A Resting-State Pilot Study. [Thesis]. Marquette University; 2020. Available from: https://epublications.marquette.edu/dissertations_mu/984
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
York University
6.
Spiegel, Rebecca Helen.
Resting-State Networks and their Relation to Performance on Mental Attention Capacity Tasks.
Degree: MA -MA, Psychology(Functional Area: Brain, Behaviour & Cognitive Sciences, 2020, York University
URL: http://hdl.handle.net/10315/37861
► Mental attention capacity (M-capacity) refers to an individuals limited cognitive capacity to hold and manipulate a set of task-relevant information, a function related to working…
(more)
▼ Mental attention capacity (M-capacity) refers to an individuals limited cognitive capacity to hold and manipulate a set of task-relevant information, a function related to working memory. This study analyzes the within- and cross-network
resting-
state functional connectivity (RSFC) of the default mode network (DMN), the dorsal attention network (DAN), and the frontoparietal control network (FPC) in order to determine if they are related to high versus low performance on varying difficulty levels of mental attention tasks. I hypothesized that, relative to the Low Performance Group, the High Performance Group would have stronger RSFC within-networks, higher anticorrelation or RSFC between the DMN and DAN, and weaker RSFC between the FPC and the DMN. There were no significant differences between the groups to support the hypotheses, however marginally significant trends do support the hypothesis that the High Performance Group has weaker RSFC between the FPC and DAN than the Low Performance Group.
Advisors/Committee Members: Stevens, Dale (advisor).
Subjects/Keywords: Psychology; Resting-state networks; Mental attention capacity
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APA (6th Edition):
Spiegel, R. H. (2020). Resting-State Networks and their Relation to Performance on Mental Attention Capacity Tasks. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/37861
Chicago Manual of Style (16th Edition):
Spiegel, Rebecca Helen. “Resting-State Networks and their Relation to Performance on Mental Attention Capacity Tasks.” 2020. Masters Thesis, York University. Accessed February 27, 2021.
http://hdl.handle.net/10315/37861.
MLA Handbook (7th Edition):
Spiegel, Rebecca Helen. “Resting-State Networks and their Relation to Performance on Mental Attention Capacity Tasks.” 2020. Web. 27 Feb 2021.
Vancouver:
Spiegel RH. Resting-State Networks and their Relation to Performance on Mental Attention Capacity Tasks. [Internet] [Masters thesis]. York University; 2020. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/10315/37861.
Council of Science Editors:
Spiegel RH. Resting-State Networks and their Relation to Performance on Mental Attention Capacity Tasks. [Masters Thesis]. York University; 2020. Available from: http://hdl.handle.net/10315/37861
7.
Yrondi, Antoine.
Modifications structuro-fonctionnelles cérébrales chez des sujets dépressifs sévères avant et après traitement par électroconvulsivothérapie : étude exploratoire ECTIM : Structural-functional brain changes in depressed patients before and after treatment with electroconvulsive therapy : a pilot study ECTIM.
Degree: Docteur es, Neurosciences, 2018, Université Toulouse III – Paul Sabatier
URL: http://www.theses.fr/2018TOU30062
► Introduction : L'électroconvulsivothérapie (ECT) est un traitement non pharmacologique du trouble dépressif résistant. Bien que son efficacité ait été démontrée dans cette indication, les mécanismes…
(more)
▼ Introduction : L'électroconvulsivothérapie (ECT) est un traitement non pharmacologique du trouble dépressif résistant. Bien que son efficacité ait été démontrée dans cette indication, les mécanismes cérébraux qui sous-tendent ce processus restent très imprécis. Il n'existe actuellement pas de travail étudiant l'effet d'une ECT efficace au niveau des modifications structurofonctionnelles cérébrales. Il semble primordial de poursuivre l'étude des corrélats neuroanatomiques précoces et plus tardifs sous tendant les processus neurofonctionnels responsables de l'amélioration de la clinique. Méthodes : Il s'agit d'une étude mono centrique menée sur le CHU de Toulouse. Chez des patients présentant un trouble dépressif résistant, des évaluations cliniques et en IRM multimodale sont réalisées à 4 temps. La 1ère évaluation a lieu avant le début de la cure, la 2ème après une 1ère ECT, la 3ème après une 1ère ECT efficace et la 4ème après rémission.Résultats: Concernant le volume de l'hippocampe et de l'amygdale à la première visite n'était pas diffèrent du volume à la troisième visite (t(135) = .329, p = .94). Au contraire, il y avait une différence significatif entre le volume de deux structures entre la première et la quatrième visite (t(135) = -2.47, p = .039) et entre la troisième et la quatrième visite (t(135) = -3.51, p = .002). Concernant la diffusivité moyenne en tant que l'effet des visites tend vers la significativité pour la DM (F(2,136) = 2.67, p = .072). En IRM resting state, il existe une hypoconnectivité précoce entre (i) l'hippocampe Droit et le cortex Cingulaire antérieur dorsal (t = -6.20 ; pFDR : 0.0123) ; (ii) l'hippocampe Droit et le noyaux caudé gauche ( t = -7.69 ; pFDR : 0.0035) et (iii) le vermis cervelet et le precuneus (t = -5.93 p FDR : 0.0363). Il existe une hyperconnectivité entre V4 et V1 entre (i) le cortex orbito frontal médian droit et le gyrus occipital médian (t = 6.58 ; p FDR : 0.0146) et (ii) le gyrus frontal inférieur droit et le cortex fronto median gauche (t = 6.83 ; pFDR : 0.0104). Il existe une diminution significative des symptomes de depression entre la V4 et la V1 à l'échelle d'Hamilton (V4: 3,08 ET : 1,62 ; V1 : 23,17 ET : 3,21 ; p <0.001).Conclusion : Il semble exister des modifications structuro-fonctionnelle à l'issu de la cure d'ECT sans modifications structurelles et micro structurelles précoces.
Background: Electroconvulsive Therapy (ECT) is a non-pharmacological treatment of resistant depressive disorder. Although its efficacy has been demonstrated in this indication, the brain mechanisms underlying this process remain very imprecise. There is currently no work studying the effect of one effective ECT on cerebral structural changes. It seems essential to continue the study of the early and late neuroanatomical correlates underlying neurofunctional processes responsible for improving the clinic. Methods: This is a mono-centric study conducted on the Toulouse University Hospital. In patients with resistant depressive disorder, clinical and multimodal MRI assessments are…
Advisors/Committee Members: Arbus, Christophe (thesis director), Péran, Patrice (thesis director).
Subjects/Keywords: ECT; Dépression; Trouble dépressif; Episode dépressif caractérisé; IRM; DTI; Resting state; Mémoire; ECT; Major depressive disorder; MRI; DTI; Resting state; Memory
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APA ·
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APA (6th Edition):
Yrondi, A. (2018). Modifications structuro-fonctionnelles cérébrales chez des sujets dépressifs sévères avant et après traitement par électroconvulsivothérapie : étude exploratoire ECTIM : Structural-functional brain changes in depressed patients before and after treatment with electroconvulsive therapy : a pilot study ECTIM. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2018TOU30062
Chicago Manual of Style (16th Edition):
Yrondi, Antoine. “Modifications structuro-fonctionnelles cérébrales chez des sujets dépressifs sévères avant et après traitement par électroconvulsivothérapie : étude exploratoire ECTIM : Structural-functional brain changes in depressed patients before and after treatment with electroconvulsive therapy : a pilot study ECTIM.” 2018. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed February 27, 2021.
http://www.theses.fr/2018TOU30062.
MLA Handbook (7th Edition):
Yrondi, Antoine. “Modifications structuro-fonctionnelles cérébrales chez des sujets dépressifs sévères avant et après traitement par électroconvulsivothérapie : étude exploratoire ECTIM : Structural-functional brain changes in depressed patients before and after treatment with electroconvulsive therapy : a pilot study ECTIM.” 2018. Web. 27 Feb 2021.
Vancouver:
Yrondi A. Modifications structuro-fonctionnelles cérébrales chez des sujets dépressifs sévères avant et après traitement par électroconvulsivothérapie : étude exploratoire ECTIM : Structural-functional brain changes in depressed patients before and after treatment with electroconvulsive therapy : a pilot study ECTIM. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2018. [cited 2021 Feb 27].
Available from: http://www.theses.fr/2018TOU30062.
Council of Science Editors:
Yrondi A. Modifications structuro-fonctionnelles cérébrales chez des sujets dépressifs sévères avant et après traitement par électroconvulsivothérapie : étude exploratoire ECTIM : Structural-functional brain changes in depressed patients before and after treatment with electroconvulsive therapy : a pilot study ECTIM. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2018. Available from: http://www.theses.fr/2018TOU30062
8.
Hart, Michael Gavin.
Network approaches to understanding the functional effects of focal brain lesions.
Degree: PhD, 2018, University of Cambridge
URL: https://www.repository.cam.ac.uk/handle/1810/274018
► Complex network models of functional connectivity have emerged as a paradigm shift in brain mapping over the past decade. Despite significant attention within the neuroimaging…
(more)
▼ Complex network models of functional connectivity have emerged as a paradigm shift in brain mapping over the past decade. Despite significant attention within the neuroimaging and cognitive neuroscience communities, these approaches have hitherto not been extensively explored in neurosurgery. The aim of this thesis is to investigate how the field of connectomics can contribute to understanding the effects of focal brain lesions and to functional brain mapping in neurosurgery.
This datasets for this thesis include a clinical population with focal brain tumours and a cohort focused on healthy adolescent brain development. Multiple network analyses of increasing complexity are performed based upon resting state functional MRI.
In patients with focal brain tumours, the full complement of resting state networks were apparent, while also suggesting putative patterns of network plasticity. Connectome analysis was able to identify potential signatures of node robustness and connections at risk that could be used to individually plan surgery. Focal lesions induced the formation of new hubs while down regulating previously established hubs. Overall these data are consistent with a dynamic rather than a static response to the presence of focal lesions.
Adolescent brain development demonstrated discrete dynamics with distinct gender specific and age-gender interactions. Network architecture also became more robust, particularly to random removal of nodes and edges. Overall these data provide evidence for the early vulnerability rather than enhanced plasticity of brain networks.
In summary, this thesis presents a combined analysis of pathological and healthy development datasets focused on understanding the functional effects of focal brain lesions at a network level. The coda serves as an introduction to a forthcoming study, known as Connectomics and Electrical Stimulation for Augmenting Resection (CAESAR), which is an evolution of the results and methods herein.
Subjects/Keywords: connectome; neuro-oncology; glioblastoma; resting state functional MRI; resting state networks; graph theory; neurosurgery; brain tumour
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APA (6th Edition):
Hart, M. G. (2018). Network approaches to understanding the functional effects of focal brain lesions. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/274018
Chicago Manual of Style (16th Edition):
Hart, Michael Gavin. “Network approaches to understanding the functional effects of focal brain lesions.” 2018. Doctoral Dissertation, University of Cambridge. Accessed February 27, 2021.
https://www.repository.cam.ac.uk/handle/1810/274018.
MLA Handbook (7th Edition):
Hart, Michael Gavin. “Network approaches to understanding the functional effects of focal brain lesions.” 2018. Web. 27 Feb 2021.
Vancouver:
Hart MG. Network approaches to understanding the functional effects of focal brain lesions. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2021 Feb 27].
Available from: https://www.repository.cam.ac.uk/handle/1810/274018.
Council of Science Editors:
Hart MG. Network approaches to understanding the functional effects of focal brain lesions. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/274018
University of Cambridge
9.
Hart, Michael Gavin.
Network approaches to understanding the functional effects of focal brain lesions.
Degree: PhD, 2018, University of Cambridge
URL: https://doi.org/10.17863/CAM.21095
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744620
► Complex network models of functional connectivity have emerged as a paradigm shift in brain mapping over the past decade. Despite significant attention within the neuroimaging…
(more)
▼ Complex network models of functional connectivity have emerged as a paradigm shift in brain mapping over the past decade. Despite significant attention within the neuroimaging and cognitive neuroscience communities, these approaches have hitherto not been extensively explored in neurosurgery. The aim of this thesis is to investigate how the field of connectomics can contribute to understanding the effects of focal brain lesions and to functional brain mapping in neurosurgery. This datasets for this thesis include a clinical population with focal brain tumours and a cohort focused on healthy adolescent brain development. Multiple network analyses of increasing complexity are performed based upon resting state functional MRI. In patients with focal brain tumours, the full complement of resting state networks were apparent, while also suggesting putative patterns of network plasticity. Connectome analysis was able to identify potential signatures of node robustness and connections at risk that could be used to individually plan surgery. Focal lesions induced the formation of new hubs while down regulating previously established hubs. Overall these data are consistent with a dynamic rather than a static response to the presence of focal lesions. Adolescent brain development demonstrated discrete dynamics with distinct gender specific and age-gender interactions. Network architecture also became more robust, particularly to random removal of nodes and edges. Overall these data provide evidence for the early vulnerability rather than enhanced plasticity of brain networks. In summary, this thesis presents a combined analysis of pathological and healthy development datasets focused on understanding the functional effects of focal brain lesions at a network level. The coda serves as an introduction to a forthcoming study, known as Connectomics and Electrical Stimulation for Augmenting Resection (CAESAR), which is an evolution of the results and methods herein.
Subjects/Keywords: 616.8; connectome; neuro-oncology; glioblastoma; resting state functional MRI; resting state networks; graph theory; neurosurgery; brain tumour
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Hart, M. G. (2018). Network approaches to understanding the functional effects of focal brain lesions. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.21095 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744620
Chicago Manual of Style (16th Edition):
Hart, Michael Gavin. “Network approaches to understanding the functional effects of focal brain lesions.” 2018. Doctoral Dissertation, University of Cambridge. Accessed February 27, 2021.
https://doi.org/10.17863/CAM.21095 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744620.
MLA Handbook (7th Edition):
Hart, Michael Gavin. “Network approaches to understanding the functional effects of focal brain lesions.” 2018. Web. 27 Feb 2021.
Vancouver:
Hart MG. Network approaches to understanding the functional effects of focal brain lesions. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2021 Feb 27].
Available from: https://doi.org/10.17863/CAM.21095 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744620.
Council of Science Editors:
Hart MG. Network approaches to understanding the functional effects of focal brain lesions. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://doi.org/10.17863/CAM.21095 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744620
UCLA
10.
Schreiner, Matthew James.
Functional Connectivity in Youth at High Genetic Risk for Psychosis.
Degree: Neuroscience, 2015, UCLA
URL: http://www.escholarship.org/uc/item/2pp6f3b1
► Schizophrenia is a devastating neurodevelopmental disorder that assaults the afflicted with visual and auditory hallucinations, confusion and cognitive problems, emotional withdrawal, a lack of motivation,…
(more)
▼ Schizophrenia is a devastating neurodevelopmental disorder that assaults the afflicted with visual and auditory hallucinations, confusion and cognitive problems, emotional withdrawal, a lack of motivation, a misunderstanding of what constitutes appropriate social behavior, and a lower life expectancy. While the majority of schizophrenia cases are of unknown etiology, recent work has highlighted the impact that rare genetic mutations can have on an individual’s predisposition to developing a psychotic disorder. 22q11.2 Deletion Syndrome (22q11DS, aka velocardiofacial syndrome or DiGeorge syndrome;), resulting from the loss of a 1.5-3 Megabase portion of chromosome 22, is one such disorder; it imparts a greatly increased risk of psychosis (up to 30%), amongst other psychiatric disorders, for those with the deletion. Concurrently, the use of non-invasive neuroimaging techniques such as positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) to investigate the brain-behavior relationship has rapidly grown to the method of choice in the quest to characterize the neural correlates of normal and abnormal cognition; a large body of literature now exists that reports alterations to functional brain network (both task-oriented and resting-state) across a range of psychiatric disorders. However, despite the clear utility in studying a disorder with a known genetic etiology and the neuroscience community’s growing interest in probing the intrinsic connectivity of the human brain and how it relates to behavior and cognition, very little research to date has attempted to characterize the dynamics and extent of resting state networks (RSNs) in 22q11DS. Accordingly, we sought to explore the 22q11DS-related alterations to RSN (if any) via a range of analysis methods, and to uncover the cognitive and behavioral correlates of aberrant connectivity within these RSNs.An initial region-of-interest-based exploration of the Default Mode Network (DMN), in a cross-sectional analysis of 22q11DS subjects and controls (N=77), showed evidence of weakened long-range connectivity in this network for 22q11DS subjects relative to controls. The strength of long-range connectivity was inversely correlated with scores on the social responsiveness scale, such that individuals with more robust DMN connectivity exhibited improved social behavior. Subsequently, we commenced a model-free investigation of resting state network connectivity in youth with 22q11DS and matched control subjects (N=66), utilizing spatial Independent Components Analysis (ICA) to parse the observed variance in the subjects’ data into multiple RSNs at once. Upon identifying networks of interest, rigorous statistical testing yielded group differences of significant within-network hypoconnectivity in 5 RSNs: ACC/Precuneus network, Executive network, DMN, Posterior DMN and Salience network. No cortical RSN tested showed any evidence of within-network hyperconnectivity in 22q11DS. Concurrently, each of the identified RSNs was vectorized and used to train and…
Subjects/Keywords: Neurosciences; 22q11.2 Deletion Syndrome; Functional Connectivity; Machine Learning; Resting State; Schizophrenia
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APA ·
Chicago ·
MLA ·
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CSE |
Export
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Manager
APA (6th Edition):
Schreiner, M. J. (2015). Functional Connectivity in Youth at High Genetic Risk for Psychosis. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/2pp6f3b1
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Schreiner, Matthew James. “Functional Connectivity in Youth at High Genetic Risk for Psychosis.” 2015. Thesis, UCLA. Accessed February 27, 2021.
http://www.escholarship.org/uc/item/2pp6f3b1.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Schreiner, Matthew James. “Functional Connectivity in Youth at High Genetic Risk for Psychosis.” 2015. Web. 27 Feb 2021.
Vancouver:
Schreiner MJ. Functional Connectivity in Youth at High Genetic Risk for Psychosis. [Internet] [Thesis]. UCLA; 2015. [cited 2021 Feb 27].
Available from: http://www.escholarship.org/uc/item/2pp6f3b1.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Schreiner MJ. Functional Connectivity in Youth at High Genetic Risk for Psychosis. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/2pp6f3b1
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
UCLA
11.
Coveleskie, Kristen.
The Impact of GLP-1 Analog, Exenatide, on The Resting Brain of Lean vs Obese Women.
Degree: Molec, Cell, & Integ Physiology, 2016, UCLA
URL: http://www.escholarship.org/uc/item/4zt480d8
► Obesity is a growing problem both in The United States and world-wide and women in The United States have the highest mean body mass index…
(more)
▼ Obesity is a growing problem both in The United States and world-wide and women in The United States have the highest mean body mass index (BMI) of high-income countries. Brain imaging studies have provided great insights in the interplay between the gut and the brain in regulation of human ingestive behavior, allowing for the exploration of complex signaling in the brain related to appetite-stimulating cues. Obesity has been viewed as a disruption of the balance between homeostatic processing for energy needs and hedonic processing involved in the rewarding value of food, but these brain differences have yet to be fully examined when it comes to the brain’s resting state.The primary aims of this dissertation were to explore the differences in homeostatic and hedonic brain networks in obese women using resting state techniques to compare frequency oscillations and functional connectivity with lean women at a baseline state and then to determine if functional connectivity would be altered by a variant of a known satiety hormone, GLP-1. In additional, to compare these brain abnormalities with behavioral measures related to appetite. This dissertation also includes a preliminary study examining the impact of high and low calorie beverages on hedonic and homeostatic networks of lean vs obese women while viewing pictures of food which pointed to key abnormalities of the obese woman’s brain and an obese-only discrepancy between brain activations and behavioral measures related to subjective feelings of fullness and appetite. Our analyses at baseline indicated differences in hedonic regions for overweight and obese women, centering around a key region of reward, the nucleus accumbens which was shown to have an increase in grey matter volume as well as altered frequency distributions in the higher BMI group. Functional connectivity of the nucleus accumbens with other regions in the hedonic network was observed to be greater in the more obese group, a brain pattern also observed in many forms of addiction. Upon injection of the GLP-1 analog, Exenatide, functional connectivity was observed to increase more so in the obese group between key homeostatic regions centered around the Nucleus Tractus Solitaries (NTS). This drug-induced increase in functional connectivity was correlated with an increase of hunger in all subjects but more so in the obese. These results support the notion that Exenatide has an impact on brain connectivity, particularly in the obese and suggest the drug’s influence on appetite control might be linked to modified connectivity of an NTS-based network.
Subjects/Keywords: Physiology; Neurosciences; Brain; fMRI; GLP-1; Obesity; Resting State
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APA ·
Chicago ·
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Export
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APA (6th Edition):
Coveleskie, K. (2016). The Impact of GLP-1 Analog, Exenatide, on The Resting Brain of Lean vs Obese Women. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4zt480d8
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Coveleskie, Kristen. “The Impact of GLP-1 Analog, Exenatide, on The Resting Brain of Lean vs Obese Women.” 2016. Thesis, UCLA. Accessed February 27, 2021.
http://www.escholarship.org/uc/item/4zt480d8.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Coveleskie, Kristen. “The Impact of GLP-1 Analog, Exenatide, on The Resting Brain of Lean vs Obese Women.” 2016. Web. 27 Feb 2021.
Vancouver:
Coveleskie K. The Impact of GLP-1 Analog, Exenatide, on The Resting Brain of Lean vs Obese Women. [Internet] [Thesis]. UCLA; 2016. [cited 2021 Feb 27].
Available from: http://www.escholarship.org/uc/item/4zt480d8.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Coveleskie K. The Impact of GLP-1 Analog, Exenatide, on The Resting Brain of Lean vs Obese Women. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/4zt480d8
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rochester Institute of Technology
12.
Khullar, Siddharth.
A Better Looking Brain: Image Pre-Processing Approaches for fMRI Data.
Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2013, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/9084
► Researchers in the field of functional neuroimaging have faced a long standing problem in pre-processing low spatial resolution data without losing meaningful details within.…
(more)
▼ Researchers in the field of functional neuroimaging have faced a long standing problem in pre-processing low spatial resolution data without losing meaningful details within. Commonly, the brain function is recorded by a technique known as echo-planar imaging that represents the measure of blood flow (BOLD signal) through a particular location in the brain as an array of intensity values changing over time. This approach to record a movie of blood flow in the brain is known as fMRI. The neural activity is then studied from the temporal correlation patterns existing within the fMRI time series. However, the resulting images are noisy and contain low spatial detail, thus making it imperative to pre-process them appropriately to derive meaningful activation patterns. Two of the several standard preprocessing steps employed just before the analysis stage are denoising and normalization. Fundamentally, it is difficult to perfectly remove noise from an image without making assumptions about signal and noise distributions. A convenient and commonly used alternative is to smooth the image with a Gaussian filter, but this method suffers from various obvious drawbacks, primarily loss of spatial detail. A greater challenge arises when we attempt to derive average activation patterns from fMRI images acquired from a group of individuals. The brain of one individual differs from others in a structural sense as well as in a functional sense. Commonly, the inter-individual differences in anatomical structures are compensated for by co-registering each
subject's data to a common normalization space, known as spatial normalization. However, there are no existing methods to compensate for the differences in functional organization of the brain. This work presents first steps towards data-driven robust algorithms for fMRI image denoising and multi-
subject image normalization by utilizing inherent information within fMRI data. In addition, a new validation approach based on spatial shape of the activation regions is presented to quantify the effects of preprocessing and also as a tool to record the differences in activation patterns between individual subjects or within two groups such as healthy controls and patients with mental illness. Qualititative and quantitative results of the proposed framework compare favorably against existing and widely used model-driven approaches such as Gaussian smoothing and structure-based spatial normalization. This work is intended to provide neuroscience researchers tools to derive more meaningful activation patterns to accurately identify imaging biomarkers for various neurodevelopmental diseases and also maximize the specificity of a diagnosis.
Advisors/Committee Members: Stefi A. Baum.
Subjects/Keywords: Denoising; fMRI; Independent component analysis; Resting state networks; Spatial normalization; Wavelets
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APA ·
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Export
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APA (6th Edition):
Khullar, S. (2013). A Better Looking Brain: Image Pre-Processing Approaches for fMRI Data. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9084
Chicago Manual of Style (16th Edition):
Khullar, Siddharth. “A Better Looking Brain: Image Pre-Processing Approaches for fMRI Data.” 2013. Doctoral Dissertation, Rochester Institute of Technology. Accessed February 27, 2021.
https://scholarworks.rit.edu/theses/9084.
MLA Handbook (7th Edition):
Khullar, Siddharth. “A Better Looking Brain: Image Pre-Processing Approaches for fMRI Data.” 2013. Web. 27 Feb 2021.
Vancouver:
Khullar S. A Better Looking Brain: Image Pre-Processing Approaches for fMRI Data. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2013. [cited 2021 Feb 27].
Available from: https://scholarworks.rit.edu/theses/9084.
Council of Science Editors:
Khullar S. A Better Looking Brain: Image Pre-Processing Approaches for fMRI Data. [Doctoral Dissertation]. Rochester Institute of Technology; 2013. Available from: https://scholarworks.rit.edu/theses/9084
McMaster University
13.
Shaw, Saurabh Bhaskar.
A Novel Framework Using Brain Computer Interfacing & EEG Microstates To Characterize Cognitive Functionality.
Degree: MASc, 2016, McMaster University
URL: http://hdl.handle.net/11375/20729
► The rapid advancements in the field of machine learning and artificial intelligence has led to the emergence of technologies like the Brain Computer Interface (BCI),…
(more)
▼ The rapid advancements in the field of machine learning and artificial intelligence has led to the emergence of technologies like the Brain Computer Interface (BCI), which has revolutionized rehabilitation protocols. However, given the neural basis of BCIs and the dependence of its performance on cognitive factors, BCIs may be used to characterize the functional capacity of the user. A resting state segment can also be considered for characterization of the functional network integrity, creating a two part framework that probes the functional networks and their cognitive manifestations. This thesis explores such a two part framework using a simultaneous EEG-fMRI setup on a healthy population. The BCI accuracies for all subjects increased over the course of the scan and is thought to be due to learning processes on the subject's part. Since such learning processes require cognitive faculties such as attention and working memory, these factors might modulate the BCI performance profile, making it a potential metric for the integrity of such cognitive factors. The resting state analysis identified four EEG Microstates that have been previously found to be associated with verbal, visual, saliency and attention reorientation tasks. The proportion of each microstate that composed the corresponding fMRI resting state networks (RSN) were identified, opening up the potential for predicting fMRI-based RSN information, from EEG microstates alone. The developed protocol can be used to diagnose potential conditions that negatively affect the functional capacity of the user by using the results from this study as healthy control data. This is the first known BCI based system for characterization of the user's functional integrity, opening up the possibility of using BCIs as a metric for diagnosing a neuropathology.
Thesis
Master of Applied Science (MASc)
Advisors/Committee Members: Noseworthy, Michael D., Connolly, John F., Biomedical Engineering.
Subjects/Keywords: Brain Computer Interfacing; Microstates; Resting State Networks; EEG-fMRI; Multimodal
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APA ·
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MLA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Shaw, S. B. (2016). A Novel Framework Using Brain Computer Interfacing & EEG Microstates To Characterize Cognitive Functionality. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20729
Chicago Manual of Style (16th Edition):
Shaw, Saurabh Bhaskar. “A Novel Framework Using Brain Computer Interfacing & EEG Microstates To Characterize Cognitive Functionality.” 2016. Masters Thesis, McMaster University. Accessed February 27, 2021.
http://hdl.handle.net/11375/20729.
MLA Handbook (7th Edition):
Shaw, Saurabh Bhaskar. “A Novel Framework Using Brain Computer Interfacing & EEG Microstates To Characterize Cognitive Functionality.” 2016. Web. 27 Feb 2021.
Vancouver:
Shaw SB. A Novel Framework Using Brain Computer Interfacing & EEG Microstates To Characterize Cognitive Functionality. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/11375/20729.
Council of Science Editors:
Shaw SB. A Novel Framework Using Brain Computer Interfacing & EEG Microstates To Characterize Cognitive Functionality. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20729
Penn State University
14.
Beltz, Adriene Marie.
Sex differences in the resting state brain function of cigarette smokers and links with smoking-related behavior.
Degree: 2014, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/22439
► Sex matters for drug use, particularly for cigarette smoking – the leading cause of preventable death in the United States. More men than women smoke,…
(more)
▼ Sex matters for drug use, particularly for cigarette smoking – the leading cause of preventable death in the United States. More men than women smoke, but women are less likely than men to quit. Sex differences in smoking behavior contribute to sex differences in cessation, with men more likely to use cigarettes for the pharmacological effects of nicotine and women more likely to smoke for the non-pharmacological effects of cigarettes, in response to learned cues. Brain function is one mechanism underlying these behavioral sex differences, as it is altered by the psychoactive effects of nicotine and facilitates cue-learning. Little is known, however, about the influence of
resting state brain function, or intrinsic brain activity that occurs in the absence of a goal-directed task and marks neuropsychiatric disease, on sex differences in smoking behavior. The goal of the current study was to delineate sex differences in the
resting state connectivity of three brain networks underlying smoking (default mode, attention, reward), and to determine how sex moderates links from network connectivity to smoking behavior (nicotine dependence, quitting self-efficacy). This goal was accomplished by examining the functional magnetic resonance imaging and behavioral data of 50 regular adult smokers (23 women). Results revealed sex differences favoring women in connectivity within the default mode network and between the default mode and reward networks. Results also suggest that women have difficulty quitting because of a reward network paradox: For women but not for men, increased connectivity within the reward network predicted both increased nicotine dependence and increased quitting self-efficacy, two behaviors that have opposite relations to cessation. Future work should investigate links between connectivity within the reward network and smoking behavior using larger samples that include non-smoking controls and alternative metrics of network connectivity.
Advisors/Committee Members: Sheri A. Berenbaum, Dissertation Advisor/Co-Advisor, Rick Owen Gilmore, Committee Member, Stephen Jeffrey Wilson, Committee Member, Peter Cm Molenaar, Special Member.
Subjects/Keywords: sex differences; brain function; resting state; cigarette smoking; gender; fMRI
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APA ·
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Export
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APA (6th Edition):
Beltz, A. M. (2014). Sex differences in the resting state brain function of cigarette smokers and links with smoking-related behavior. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/22439
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Beltz, Adriene Marie. “Sex differences in the resting state brain function of cigarette smokers and links with smoking-related behavior.” 2014. Thesis, Penn State University. Accessed February 27, 2021.
https://submit-etda.libraries.psu.edu/catalog/22439.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Beltz, Adriene Marie. “Sex differences in the resting state brain function of cigarette smokers and links with smoking-related behavior.” 2014. Web. 27 Feb 2021.
Vancouver:
Beltz AM. Sex differences in the resting state brain function of cigarette smokers and links with smoking-related behavior. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Feb 27].
Available from: https://submit-etda.libraries.psu.edu/catalog/22439.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Beltz AM. Sex differences in the resting state brain function of cigarette smokers and links with smoking-related behavior. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/22439
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Penn State University
15.
Unsal, Hayreddin Said.
Measuring Resting State Functional Connectivity in Awake Mouse’s Brain Using fMRI.
Degree: 2017, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/14502hxu5007
► Functional magnetic resonance imaging (fMRI) allows non-invasive measurement of changes in blood-oxygenation-level dependent (BOLD) level over time and to draw inferences about the underlying neural…
(more)
▼ Functional magnetic resonance imaging (fMRI) allows non-invasive measurement of changes in blood-oxygenation-level dependent (BOLD) level over time and to draw inferences about the underlying neural activity. BOLD is responsive to changes in oxygen consumption in blood, cerebral blood flow and blood volume. A number of fMRI studies have been conducted in anesthetized animals, but their interpretations are controversial because anesthetic agents can significantly disrupt brain hemodynamics, leading to changes in BOLD signals that might not represent the neurovascular coupling relationship during the awake
state. Neuroimaging studies conducted in awake animals are important because they can more accurately detect changes in brain hemodynamics.
Resting state fMRI (rsfMRI) is a technique that can be used for assessing functional connectivity of brain networks when subjects are not performing a task or receiving sensory stimulation. rsfMRI can potentially be used to investigate the influence of genetic manipulations, environmental interactions, pharmacological treatments, and neuropathology on brain function in humans and animals. While there are numerous rsfMRI studies in humans during the awake
state, much fewer awake rsfMRI studies have been conducted in animals. Thus, establishing an awake rsfMRI procedure for rodents will help broaden understanding of brain function. An established awake rsfMRI procedure in mice is especially important, given the availability of a variety of transgenic mice that can be used to investigate the relationship between genetic and the function of normal and diseased brains. If successful, this could stimulate more awake mice rsfMRI studies and those results can inform human studies.
In this thesis, we established an awake mouse rsfMRI protocol. This involved the design of a customized radiofrequency (RF) coil and procedures for acclimating mice to the imaging restrainer to reduce motion artifacts. Data processing was performed in MATLAB, including seed-based analysis, which produced accurate and reproducible
resting state functional connectivity between major brain regions. The seed regions of interest included the thalamus, amygdala, hippocampus, hypothalamus and cortical ribbon in healthy mice.
Advisors/Committee Members: Nanyin Zhang, Thesis Advisor/Co-Advisor, Jian Yang, Committee Member, William O Hancock, Committee Member.
Subjects/Keywords: functional connectivity; resting state fMRI; brain; mouse; awake animal
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APA ·
Chicago ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Unsal, H. S. (2017). Measuring Resting State Functional Connectivity in Awake Mouse’s Brain Using fMRI. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14502hxu5007
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Unsal, Hayreddin Said. “Measuring Resting State Functional Connectivity in Awake Mouse’s Brain Using fMRI.” 2017. Thesis, Penn State University. Accessed February 27, 2021.
https://submit-etda.libraries.psu.edu/catalog/14502hxu5007.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Unsal, Hayreddin Said. “Measuring Resting State Functional Connectivity in Awake Mouse’s Brain Using fMRI.” 2017. Web. 27 Feb 2021.
Vancouver:
Unsal HS. Measuring Resting State Functional Connectivity in Awake Mouse’s Brain Using fMRI. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Feb 27].
Available from: https://submit-etda.libraries.psu.edu/catalog/14502hxu5007.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Unsal HS. Measuring Resting State Functional Connectivity in Awake Mouse’s Brain Using fMRI. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14502hxu5007
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Leiden University
16.
Berg, Merel van den.
The association between disruptive behavior disorders with co-existing symptoms of autism or anxiety and markers of physiological arousal during resting state in boys at age 8-12.
Degree: 2013, Leiden University
URL: http://hdl.handle.net/1887/21960
► Background: High levels of aggressive behavior are associated with a low resting heart rate in boys. However, differences in underlying mechanisms, e.g. arousal levels, might…
(more)
▼ Background: High levels of aggressive behavior are associated with a low
resting heart rate in boys. However, differences in underlying mechanisms, e.g. arousal levels, might exist between boys with disruptive behavior disorders, which might have implications for intervention programs to prevent aggressive behavior to develop further into adulthood. Methods: The current study investigated
resting heart rate (beats per minute) and skin conductance levels (μS ) in boys, 8-12 years old (Mage = 9.67, SD = 1.18), with a disruptive behavior disorder (NDBD= 24, NControl = 25). Levels of anxiety and characteristics of an autism spectrum disorder were considered as co-occuring symptoms, to consider possible differences between the two groups and to infer the predictive value of these symptoms regarding arousal levels. Arousal levels in
resting state were considered while the participants watched a three minute calming video of fishes. Levels of aggression, anxiety and amount of characteristics of an autism spectrum disorder were measured by questionnaires that were administered by the boys themselves (MASC) and the parents (ASEBA CBCL 6-18 and VISK). One-way analyses of variance were performed to infer possible differences between the control group and the DBD group. Moreover, multiple regression analyses were executed to consider the predictive value of the levels of the mentioned symptoms with regard to arousal levels. Results: No differences were found in arousal measures in
resting state between the DBD group and the control group. However, expressing higher levels of characteristics of autism, especially not understanding social information (e.g. jokes), stereotypic behavior and anxiety for change, turned out to be partly predictive for higher levels of heart rate in the DBD group. None of the considered factors was predictive for variation in skin conductance levels in this group. Conclusions: The current findings suggest that some of the aggression seen in the DBD group could possibly origin from the lack of understanding as well as anxiety or tension with regard to social situations and is associated with somewhat higher levels of arousal instead of lower levels, as previously suggested. The tentative findings in the current study could incite to investigate in more depth the predictors of variation in levels of arousal, which could provide more information about differences between individuals with regard to underlying mechanisms of aggression.
Advisors/Committee Members: Rijn, S. van (advisor).
Subjects/Keywords: Disruptive Behavior Disorder; Aggression; Arousal in resting state; Characteristics autism; Anxiety
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APA (6th Edition):
Berg, M. v. d. (2013). The association between disruptive behavior disorders with co-existing symptoms of autism or anxiety and markers of physiological arousal during resting state in boys at age 8-12. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/21960
Chicago Manual of Style (16th Edition):
Berg, Merel van den. “The association between disruptive behavior disorders with co-existing symptoms of autism or anxiety and markers of physiological arousal during resting state in boys at age 8-12.” 2013. Masters Thesis, Leiden University. Accessed February 27, 2021.
http://hdl.handle.net/1887/21960.
MLA Handbook (7th Edition):
Berg, Merel van den. “The association between disruptive behavior disorders with co-existing symptoms of autism or anxiety and markers of physiological arousal during resting state in boys at age 8-12.” 2013. Web. 27 Feb 2021.
Vancouver:
Berg Mvd. The association between disruptive behavior disorders with co-existing symptoms of autism or anxiety and markers of physiological arousal during resting state in boys at age 8-12. [Internet] [Masters thesis]. Leiden University; 2013. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1887/21960.
Council of Science Editors:
Berg Mvd. The association between disruptive behavior disorders with co-existing symptoms of autism or anxiety and markers of physiological arousal during resting state in boys at age 8-12. [Masters Thesis]. Leiden University; 2013. Available from: http://hdl.handle.net/1887/21960
Boston University
17.
McKenna, Faye.
Comparison of ApoE-related brain connectivity differences in EMCI and normal aging populations: an fMRI study.
Degree: MS, Bioimaging, 2015, Boston University
URL: http://hdl.handle.net/2144/15621
► In this study, we used resting-state functional magnetic resonance imaging (fMRI) scans from subjects with early mild cognitive impairment (EMCI) and control subjects to study…
(more)
▼ In this study, we used resting-state functional magnetic resonance imaging (fMRI) scans from subjects with early mild cognitive impairment (EMCI) and control subjects to study functional network connectivity. The scans were acquired by the Alzheimer's Disease Neuroscience Initiative (ADNI). We used genetic data from the ADNI database to further subdivide the EMCI and control groups into genotype groups with or without the ApoE4 allele. ROI-to-ROI resting-state functional connectivity was measured using Freesurfer and the Functional Connectivity Toolbox for Matlab (CONN). In our analysis, we compared whole-brain ROI connectivity strength and ROI-to-ROI functional network connectivity strength between EMCI, control and genotype subject groups. We found that the ROI network properties were disrupted in EMCI and ApoE4-containing groups. Notably, we show that (1) EMCI disrupts functional connectivity strength in many areas; (2) the ApoE4 allele disrupts functional connectivity strength in similar areas to EMCI; and (3) the differences in functional connectivity between groups shows a multifactor contribution to functional network dysfunction along the trajectory leading to dementia.
Subjects/Keywords: Neurosciences; ApoE; fMRI; Alzheimer's disease; Network connectivity; Resting state
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APA (6th Edition):
McKenna, F. (2015). Comparison of ApoE-related brain connectivity differences in EMCI and normal aging populations: an fMRI study. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/15621
Chicago Manual of Style (16th Edition):
McKenna, Faye. “Comparison of ApoE-related brain connectivity differences in EMCI and normal aging populations: an fMRI study.” 2015. Masters Thesis, Boston University. Accessed February 27, 2021.
http://hdl.handle.net/2144/15621.
MLA Handbook (7th Edition):
McKenna, Faye. “Comparison of ApoE-related brain connectivity differences in EMCI and normal aging populations: an fMRI study.” 2015. Web. 27 Feb 2021.
Vancouver:
McKenna F. Comparison of ApoE-related brain connectivity differences in EMCI and normal aging populations: an fMRI study. [Internet] [Masters thesis]. Boston University; 2015. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/2144/15621.
Council of Science Editors:
McKenna F. Comparison of ApoE-related brain connectivity differences in EMCI and normal aging populations: an fMRI study. [Masters Thesis]. Boston University; 2015. Available from: http://hdl.handle.net/2144/15621
University of Toronto
18.
Chu, Powell Pui-Wai.
The Effect of Physiological Modulators on Resting-state fMRI Functional Connectivity.
Degree: 2016, University of Toronto
URL: http://hdl.handle.net/1807/74568
► In this thesis, we focus on the following physiological modulators of the blood oxygenation level dependent (BOLD) signal â cerebral blood flow (CBF), venous-blood oxygenation,…
(more)
▼ In this thesis, we focus on the following physiological modulators of the blood oxygenation level dependent (BOLD) signal â cerebral blood flow (CBF), venous-blood oxygenation, and cerebrovascular reactivity (CVR). We use simulations and experiments to examine the relationship between the physiological parameters with rs-fMRI functional connectivity measurements in three resting-state networks: default-mode network (DMN), sensori-motor network (SMN), and the visual network (VN). By using the general linear model, we demonstrate that physiological modulators significant impact functional connectivity measurements in these regions, both within subjects and between subjects. Moreover, we found that the physiological effects vary depending upon brain region and individual. The results confirm that it is important to account for the effect of physiological noise when examining resting-state fMRI functional connectivity, in the study of healthy brain function, but more importantly, in states of altered brain function.
M.Sc.
Advisors/Committee Members: Chen, Jean, Medical Biophysics.
Subjects/Keywords: BOLD; fMRI; physiological modulators; physiological noise; resting-state functional connectivity; 0574
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APA (6th Edition):
Chu, P. P. (2016). The Effect of Physiological Modulators on Resting-state fMRI Functional Connectivity. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/74568
Chicago Manual of Style (16th Edition):
Chu, Powell Pui-Wai. “The Effect of Physiological Modulators on Resting-state fMRI Functional Connectivity.” 2016. Masters Thesis, University of Toronto. Accessed February 27, 2021.
http://hdl.handle.net/1807/74568.
MLA Handbook (7th Edition):
Chu, Powell Pui-Wai. “The Effect of Physiological Modulators on Resting-state fMRI Functional Connectivity.” 2016. Web. 27 Feb 2021.
Vancouver:
Chu PP. The Effect of Physiological Modulators on Resting-state fMRI Functional Connectivity. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1807/74568.
Council of Science Editors:
Chu PP. The Effect of Physiological Modulators on Resting-state fMRI Functional Connectivity. [Masters Thesis]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/74568
University of Toronto
19.
Lam, Timothy Ka-Hung.
Exploring the Relationship between Motor and Frontoparietal Brain Networks in Upper Limb Motor Outcome Post-stroke.
Degree: 2016, University of Toronto
URL: http://hdl.handle.net/1807/75112
► Background: A network-approach may help understand how extensive neural changes arise from localized damage. Given that motor and frontoparietal networks are implicated in motor learning,…
(more)
▼ Background: A network-approach may help understand how extensive neural changes arise from localized damage. Given that motor and frontoparietal networks are implicated in motor learning, these networks may also be implicated in motor re-learning post-stroke. This thesis studies the relationship between motor and frontoparietal networks and movement post-stroke.
Methods: Twenty-seven chronic stroke participants underwent behavioural assessments and magnetic resonance imaging. The resting state connectivity (rs-connectivity) within (intra-network) and between (inter-network) motor and frontoparietal networks were correlated with behavioural scores.
Results: Intra-network: i) Participants with higher rs-connectivity between the primary motor cortex and supplementary motor area have less hand impairment and greater motor function; ii) Participants with higher rs-connectivity between the dorsolateral prefrontal cortex and mid-ventrolateral prefrontal cortex have less hand impairment. Inter-network: participants with higher rs-connectivity between the motor and frontoparietal networks have greater motor function.
Conclusion: Connectivity of motor and frontoparietal networks may be a biomarker of movement post-stroke.
M.Sc.
Advisors/Committee Members: Chen, Joyce L, Dawson, Deirdre R, Rehabilitation Science.
Subjects/Keywords: chronic stroke; frontoparietal; motor; network; resting state fMRI; task-switching; 0317
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APA (6th Edition):
Lam, T. K. (2016). Exploring the Relationship between Motor and Frontoparietal Brain Networks in Upper Limb Motor Outcome Post-stroke. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/75112
Chicago Manual of Style (16th Edition):
Lam, Timothy Ka-Hung. “Exploring the Relationship between Motor and Frontoparietal Brain Networks in Upper Limb Motor Outcome Post-stroke.” 2016. Masters Thesis, University of Toronto. Accessed February 27, 2021.
http://hdl.handle.net/1807/75112.
MLA Handbook (7th Edition):
Lam, Timothy Ka-Hung. “Exploring the Relationship between Motor and Frontoparietal Brain Networks in Upper Limb Motor Outcome Post-stroke.” 2016. Web. 27 Feb 2021.
Vancouver:
Lam TK. Exploring the Relationship between Motor and Frontoparietal Brain Networks in Upper Limb Motor Outcome Post-stroke. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1807/75112.
Council of Science Editors:
Lam TK. Exploring the Relationship between Motor and Frontoparietal Brain Networks in Upper Limb Motor Outcome Post-stroke. [Masters Thesis]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/75112
University of Toronto
20.
Rastogi, Anuj.
Continuous Theta Burst Stimulation of the Lateral Cerebellum Decreases Cognitive Cerebello-cerebral Functional Connectivity.
Degree: 2016, University of Toronto
URL: http://hdl.handle.net/1807/75957
► Previous studies using continuous theta burst stimulation (cTBS) applied to Crus I of the lateral cerebellum have demonstrated an inhibition of the contralateral motor cortex…
(more)
▼ Previous studies using continuous theta burst stimulation (cTBS) applied to Crus I of the lateral cerebellum have demonstrated an inhibition of the contralateral motor cortex and connections in the cerebello-thalamo-cortical (CTC) pathway. The aim of this thesis was to determine the effects of lateral cerebellar cTBS on cognitive and motor cerebello-cerebral networks using resting state functional magnetic resonance imaging (rsfMRI). Functional connectivity between four cerebello-cerebral seed pairs constituting the cognitive network [Crus I – Brodmann area (BA) 7, Crus I – BA8, Crus I – BA9, Crus I – BA39] and one cerebello-cerebral seed pair constituting the motor network (Lobule V hand area – BA4 hand area) were measured before and after cTBS in 12 healthy subjects. As hypothesized, lateral cerebellar cTBS induced a significant decrease in functional connectivity within the cognitive network, while motor functional connectivity remained unaltered. These results provide further insight into the effects of cerebellar cTBS at the network level.
M.Sc.
Advisors/Committee Members: Chen, Robert, Medical Science.
Subjects/Keywords: Cerebellum; fMRI; Parkinson's Disease; Resting State Networks; TMS; 0317
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APA ·
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APA (6th Edition):
Rastogi, A. (2016). Continuous Theta Burst Stimulation of the Lateral Cerebellum Decreases Cognitive Cerebello-cerebral Functional Connectivity. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/75957
Chicago Manual of Style (16th Edition):
Rastogi, Anuj. “Continuous Theta Burst Stimulation of the Lateral Cerebellum Decreases Cognitive Cerebello-cerebral Functional Connectivity.” 2016. Masters Thesis, University of Toronto. Accessed February 27, 2021.
http://hdl.handle.net/1807/75957.
MLA Handbook (7th Edition):
Rastogi, Anuj. “Continuous Theta Burst Stimulation of the Lateral Cerebellum Decreases Cognitive Cerebello-cerebral Functional Connectivity.” 2016. Web. 27 Feb 2021.
Vancouver:
Rastogi A. Continuous Theta Burst Stimulation of the Lateral Cerebellum Decreases Cognitive Cerebello-cerebral Functional Connectivity. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1807/75957.
Council of Science Editors:
Rastogi A. Continuous Theta Burst Stimulation of the Lateral Cerebellum Decreases Cognitive Cerebello-cerebral Functional Connectivity. [Masters Thesis]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/75957
Vrije Universiteit Amsterdam
21.
Diaz, B.A.
The Amsterdam Resting-State Questionnaire: Measuring and characterizing resting-state cognition and its neural correlates
.
Degree: 2015, Vrije Universiteit Amsterdam
URL: http://hdl.handle.net/1871/53519
Subjects/Keywords: Resting-state;
neuroimaging;
cognition;
ARSQ
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APA (6th Edition):
Diaz, B. A. (2015). The Amsterdam Resting-State Questionnaire: Measuring and characterizing resting-state cognition and its neural correlates
. (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/53519
Chicago Manual of Style (16th Edition):
Diaz, B A. “The Amsterdam Resting-State Questionnaire: Measuring and characterizing resting-state cognition and its neural correlates
.” 2015. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed February 27, 2021.
http://hdl.handle.net/1871/53519.
MLA Handbook (7th Edition):
Diaz, B A. “The Amsterdam Resting-State Questionnaire: Measuring and characterizing resting-state cognition and its neural correlates
.” 2015. Web. 27 Feb 2021.
Vancouver:
Diaz BA. The Amsterdam Resting-State Questionnaire: Measuring and characterizing resting-state cognition and its neural correlates
. [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2015. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1871/53519.
Council of Science Editors:
Diaz BA. The Amsterdam Resting-State Questionnaire: Measuring and characterizing resting-state cognition and its neural correlates
. [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2015. Available from: http://hdl.handle.net/1871/53519
University of Toronto
22.
Qian, Winnie.
Neural Correlates of Delusions in Patients with Alzheimer's Disease.
Degree: 2017, University of Toronto
URL: http://hdl.handle.net/1807/79385
► The neural correlates of delusions in Alzheimer's disease (AD) remain unclear. This thesis examined the neuropathological, structural volumetric, and resting-state functional connectivity (rs-fc) correlates associated…
(more)
▼ The neural correlates of delusions in Alzheimer's disease (AD) remain unclear. This thesis examined the neuropathological, structural volumetric, and resting-state functional connectivity (rs-fc) correlates associated with delusions in AD. We hypothesized that delusional AD patients will have greater disease severity characterized by higher AD pathology load and increased atrophy, as well as altered rs-fc compared to non-delusional patients. We found that delusions were associated with Lewy body pathology, vascular pathology, and vascular risk factors, but were not correlated with increased AD pathology. Patients who developed delusions showed increased atrophy of regions within the default mode network (DMN) following the onset of delusions, while the cohort that did not develop delusions did not exhibit significant atrophy in the DMN over a similar time frame. We found that decreased connectivity within the DMN, in particular disintegration of the inferior parietal lobule with the overall network, may be associated with delusions in AD.
M.Sc.
Advisors/Committee Members: Schweizer, Tom A, Medical Science.
Subjects/Keywords: Alzheimer's disease; Delusion; MRI; Neuropathology; Psychosis; Resting-state; 0317
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APA (6th Edition):
Qian, W. (2017). Neural Correlates of Delusions in Patients with Alzheimer's Disease. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79385
Chicago Manual of Style (16th Edition):
Qian, Winnie. “Neural Correlates of Delusions in Patients with Alzheimer's Disease.” 2017. Masters Thesis, University of Toronto. Accessed February 27, 2021.
http://hdl.handle.net/1807/79385.
MLA Handbook (7th Edition):
Qian, Winnie. “Neural Correlates of Delusions in Patients with Alzheimer's Disease.” 2017. Web. 27 Feb 2021.
Vancouver:
Qian W. Neural Correlates of Delusions in Patients with Alzheimer's Disease. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1807/79385.
Council of Science Editors:
Qian W. Neural Correlates of Delusions in Patients with Alzheimer's Disease. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79385
23.
Li, Jing.
Awareness of observation affects resting state brain activity.
Degree: 2014, University of California – eScholarship, University of California
URL: http://www.escholarship.org/uc/item/9bc0c26z
► Functional imaging studies have revealed the default mode network (DMN) activates when people are at rest. However, generally only minimal instructions were provided among those…
(more)
▼ Functional imaging studies have revealed the default mode network (DMN) activates when people are at rest. However, generally only minimal instructions were provided among those studies. Our goal in this study was to demonstrate how resting state activity varies with the knowledge of being watched. In this study, we used two distinct manipulations to address this question: first, we described two separate scans as being either anatomical or functional (with little additional detail), when in fact both were functional; and second, in a putatively separate experiment, we informed participants we were able to observe their thoughts, and after a more thorough description, carried out three more functional scans, one of which was again described as anatomical. Our results demonstrate there are systematic differences across several networks as a function of instructional differences. Most strikingly, there was a significant increase in the orbitofrontal cortex (OFC) when comparing the first functional scan to the first sham anatomical scan, and a substantial increase in functional connectivity within the DMN when comparing the second sham anatomical scan to the second and third functional scans. These results suggest the mere awareness that one is being watched causes significant changes in the patterns of activity across functional networks, including the DMN. They also suggest the importance of using precise instructions in resting-state studies, because even slight variations in instruction can have substantial impacts on the brain's activity at rest.
Subjects/Keywords: Neurosciences; Psychology; awareness; DMN; fMRI; functional connectivity; resting state
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Manager
APA (6th Edition):
Li, J. (2014). Awareness of observation affects resting state brain activity. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/9bc0c26z
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Li, Jing. “Awareness of observation affects resting state brain activity.” 2014. Thesis, University of California – eScholarship, University of California. Accessed February 27, 2021.
http://www.escholarship.org/uc/item/9bc0c26z.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Li, Jing. “Awareness of observation affects resting state brain activity.” 2014. Web. 27 Feb 2021.
Vancouver:
Li J. Awareness of observation affects resting state brain activity. [Internet] [Thesis]. University of California – eScholarship, University of California; 2014. [cited 2021 Feb 27].
Available from: http://www.escholarship.org/uc/item/9bc0c26z.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Li J. Awareness of observation affects resting state brain activity. [Thesis]. University of California – eScholarship, University of California; 2014. Available from: http://www.escholarship.org/uc/item/9bc0c26z
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Illinois – Chicago
24.
Deldonno, Sophia.
A Longitudinal Study of Reward Functioning and Symptom Fluctuation in Mood Disorders.
Degree: 2019, University of Illinois – Chicago
URL: http://hdl.handle.net/10027/23875
► Mood disorders represent a major public health and economic burden in the United States. Major depressive disorder (MDD) and bipolar disorder (BP) are chronic, debilitating…
(more)
▼ Mood disorders represent a major public health and economic burden in the United States. Major depressive disorder (MDD) and bipolar disorder (BP) are chronic, debilitating diseases and existing strategies for relapse prediction and prevention could be improved. A clearer understanding of reward functioning, which is highly disrupted in active phases of MDD and BP, during the euthymic phase of illness may improve our model of how these disorders manifest and recur. Reward functioning deficits are documented extensively in the literature, but few studies have evaluated and directly compared self-report, task, and neural facets of reward functioning in a combined sample of remitted MDD and euthymic BP individuals over time. We hypothesized that, individuals with a history of mood disorders (HMD) would have lower trait positive affect, worse performance on reward processing tasks, increased connectivity from key regions in the reward circuit to the salience and emotion network (SEN) and default mode network (DMN), and more homogeneity in the SEN and DMN. We expected baseline self-reported reward responsiveness to predict fluctuations in mood symptoms over time in the HMD group and moderate the effect of diagnosis on mood symptoms over time. We explored whether reward task performance predicted depressive symptom change in a cross-lagged manner over time in the HMD group. Participants were 132 individuals with HMD and 42 healthy controls (HC). After undergoing symptom and diagnostic assessment by a clinician, participants completed
resting-
state and task-based fMRI, a neuropsychological battery including a reward task, and self-report measures of symptoms, reward and affective functioning. A subset of participants completed two additional study visits over a follow-up period of approximately three years, repeating the clinician assessments, self-report measures, and behavioral tasks. Self-reported affect and reward functioning differentiated the HMD and HC groups, whereas objective measurements of reward failed to differentiate groups or to predict naturalistic symptom fluctuation.
Resting-
state connectivity differences emerged that suggested increased connectivity between reward nodes and salience regions and decreased connectivity between reward nodes and default mode regions in HMD participants. Homogeneity, as assessed by variance between reward seeds and the SEN and DMN, did not differ between groups. Our hypotheses regarding moderators and mediators were not supported. Overall, rsFC may be more sensitive to trait biomarkers of disease, relative to behavioral performance and task-based fMRI findings.
Advisors/Committee Members: Langenecker, Scott A (advisor), Shankman, Stewart A (committee member), Roitman, Jamie (committee member), Bhaumik, Runa (committee member), Herbener, Ellen (chair).
Subjects/Keywords: Reward; mood disorders; resting-state connectivity; longitudinal; depression; bipolar
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APA (6th Edition):
Deldonno, S. (2019). A Longitudinal Study of Reward Functioning and Symptom Fluctuation in Mood Disorders. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23875
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Deldonno, Sophia. “A Longitudinal Study of Reward Functioning and Symptom Fluctuation in Mood Disorders.” 2019. Thesis, University of Illinois – Chicago. Accessed February 27, 2021.
http://hdl.handle.net/10027/23875.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Deldonno, Sophia. “A Longitudinal Study of Reward Functioning and Symptom Fluctuation in Mood Disorders.” 2019. Web. 27 Feb 2021.
Vancouver:
Deldonno S. A Longitudinal Study of Reward Functioning and Symptom Fluctuation in Mood Disorders. [Internet] [Thesis]. University of Illinois – Chicago; 2019. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/10027/23875.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Deldonno S. A Longitudinal Study of Reward Functioning and Symptom Fluctuation in Mood Disorders. [Thesis]. University of Illinois – Chicago; 2019. Available from: http://hdl.handle.net/10027/23875
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
25.
Jackson, Rebecca.
Temporal and spatial dynamics of the semantic network : explorations using Transcranial Magnetic Stimulation (TMS) and fMRI.
Degree: PhD, 2014, University of Manchester
URL: https://www.research.manchester.ac.uk/portal/en/theses/temporal-and-spatial-dynamics-of-the-semantic-network-explorations-using-transcranial-magnetic-stimulation-tms-and-fmri(a53dbffa-e7f5-4b1b-9b61-15d93681d085).html
;
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664544
► Convergent findings have elucidated the regions involved in semantic cognition. The anterior temporal lobes (ATL) act as a hub for multimodal semantic processing alongside modality-specific…
(more)
▼ Convergent findings have elucidated the regions involved in semantic cognition. The anterior temporal lobes (ATL) act as a hub for multimodal semantic processing alongside modality-specific ‘spoke’ regions. In addition, areas of inferior parietal, posterior temporal and frontal cortex are necessary for semantic cognition. However, many questions remain. Little is known about the timing of the ATL or how distributed regions interact in order to perform semantic processing. In order to gain knowledge of the precise spatial and temporal dynamics of the ATL and semantic cognition network, a series of studies was performed. Chapter 3 investigated the time at which the ATL is necessary for a semantic judgement using chronometric TMS. The ATL was found to be necessary for semantic cognition from 400ms post-stimuli presentation. This is known to be a critical time for semantic processing. Processing of items presented in different modalities converges around this time. This supports the role of the ATL in multimodal semantic cognition. Chapter 4 used offline repetitive TMS to investigate the role of ATL subregions and posterior temporal cortex in semantic and phonological processing. However, no significant TMS effects were demonstrated. Chapter 5 employed dual echo fMRI to assess how different types of semantic relationships are instantiated within the brain. Association (spatially and temporally co-occurring concepts) and conceptual similarity (concepts sharing features) were shown to rely on the same cortical regions. This provides evidence against theories suggesting separate representational hubs for these different relationship types. Instead it supports the reliance of both relationship types on the ATL hub. These two kinds of relationship may be more similar than previously thought, with the hub-and-spoke model able to explain both. The semantic network identified here included ATL, posterior temporal, frontal and ventral parietal cortex. This network of semantic regions was shown to be interconnected in Chapter 6 during a semantic task (using a psychophysiological interaction analysis) and during rest (using a seed-based functional connectivity analysis). Differential connectivity was identified between the ventral ATL (to multimodal semantic regions) and the aSTG (to language-related regions). The semantic network overlapped with the default mode network (DMN) and involved regions previously found to constitute the frontoparietal network (FPN).Emergent questions related to the overlap between previously identified network and the semantic network were addressed with preliminary independent component analyses in Chapter 7. This showed the dynamic connectivity of the ATL in task and rest. The semantic network was found to be distinct from but overlapping with the DMN and FPN. The role of this network in semantic cognition was confirmed, whereas the DMN was not found to relate to semantic processing. The anterior DMN component appeared semantic based on activity alone, suggesting prior results relating the DMN to…
Subjects/Keywords: 612.8; Conceptual processing; fMRI; TMS; Semantics; Resting state; Language; Functional connectivity
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APA (6th Edition):
Jackson, R. (2014). Temporal and spatial dynamics of the semantic network : explorations using Transcranial Magnetic Stimulation (TMS) and fMRI. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/temporal-and-spatial-dynamics-of-the-semantic-network-explorations-using-transcranial-magnetic-stimulation-tms-and-fmri(a53dbffa-e7f5-4b1b-9b61-15d93681d085).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664544
Chicago Manual of Style (16th Edition):
Jackson, Rebecca. “Temporal and spatial dynamics of the semantic network : explorations using Transcranial Magnetic Stimulation (TMS) and fMRI.” 2014. Doctoral Dissertation, University of Manchester. Accessed February 27, 2021.
https://www.research.manchester.ac.uk/portal/en/theses/temporal-and-spatial-dynamics-of-the-semantic-network-explorations-using-transcranial-magnetic-stimulation-tms-and-fmri(a53dbffa-e7f5-4b1b-9b61-15d93681d085).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664544.
MLA Handbook (7th Edition):
Jackson, Rebecca. “Temporal and spatial dynamics of the semantic network : explorations using Transcranial Magnetic Stimulation (TMS) and fMRI.” 2014. Web. 27 Feb 2021.
Vancouver:
Jackson R. Temporal and spatial dynamics of the semantic network : explorations using Transcranial Magnetic Stimulation (TMS) and fMRI. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2021 Feb 27].
Available from: https://www.research.manchester.ac.uk/portal/en/theses/temporal-and-spatial-dynamics-of-the-semantic-network-explorations-using-transcranial-magnetic-stimulation-tms-and-fmri(a53dbffa-e7f5-4b1b-9b61-15d93681d085).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664544.
Council of Science Editors:
Jackson R. Temporal and spatial dynamics of the semantic network : explorations using Transcranial Magnetic Stimulation (TMS) and fMRI. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/temporal-and-spatial-dynamics-of-the-semantic-network-explorations-using-transcranial-magnetic-stimulation-tms-and-fmri(a53dbffa-e7f5-4b1b-9b61-15d93681d085).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664544
26.
Rischer, Katharina.
Can Frontal Alpha Asymmetry Predict the Perception of Emotions in Music?.
Degree: Bioscience, 2016, University of Skövde
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12800
► Resting frontal alpha asymmetry was measured with an electroencephalogram in 28 volunteers to predict the evaluation of emotions in music. Sixteen music excerpts either…
(more)
▼ Resting frontal alpha asymmetry was measured with an electroencephalogram in 28 volunteers to predict the evaluation of emotions in music. Sixteen music excerpts either expressing happiness, sadness, anger or fear were rated by the participants with regard to conveyed mood, pleasantness and arousal. In addition, various variables of music background were collected. The experiment started with the assessment of current mood, followed by the evaluation of the music excerpts, and finished with the assessment of the participants’ approach and withdrawal behaviour. The results showed that each music excerpt was specic for the intended mood except for music of the category anger which obtained also high ratings for fear. These music excerpts were also the only ones for which a difference in ratings between relatively more left-active and right-active participants could be observed. Partly against expectations, left-dominant volunteers perceived music excerpts of the category anger to express more fear and anger than right-active participants. Results are interpreted within the behavioural inhibitionand approach model of anterior brain asymmetry.
Subjects/Keywords: alpha asymmetry; resting state; emotions in music; motivational direction; Neurosciences; Neurovetenskaper
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APA (6th Edition):
Rischer, K. (2016). Can Frontal Alpha Asymmetry Predict the Perception of Emotions in Music?. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12800
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Rischer, Katharina. “Can Frontal Alpha Asymmetry Predict the Perception of Emotions in Music?.” 2016. Thesis, University of Skövde. Accessed February 27, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12800.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Rischer, Katharina. “Can Frontal Alpha Asymmetry Predict the Perception of Emotions in Music?.” 2016. Web. 27 Feb 2021.
Vancouver:
Rischer K. Can Frontal Alpha Asymmetry Predict the Perception of Emotions in Music?. [Internet] [Thesis]. University of Skövde; 2016. [cited 2021 Feb 27].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12800.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Rischer K. Can Frontal Alpha Asymmetry Predict the Perception of Emotions in Music?. [Thesis]. University of Skövde; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12800
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Western Ontario
27.
Hutchison, R. Matthew.
Brain connectivity studied by fMRI: homologous network organization in the rat, monkey, and human.
Degree: 2012, University of Western Ontario
URL: https://ir.lib.uwo.ca/etd/637
► The mammalian brain is composed of functional networks operating at different spatial and temporal scales — characterized by patterns of interconnections linking sensory, motor, and…
(more)
▼ The mammalian brain is composed of functional networks operating at different spatial and temporal scales — characterized by patterns of interconnections linking sensory, motor, and cognitive systems. Assessment of brain connectivity has revealed that the structure and dynamics of large-scale network organization are altered in multiple disease states suggesting their use as diagnostic or prognostic indicators. Further investigation into the underlying mechanisms, organization, and alteration of large-scale brain networks requires homologous animal models that would allow neurophysiological recordings and experimental manipulations. My current dissertation presents a comprehensive assessment and comparison of rat, macaque, and human brain networks based on evaluation of intrinsic low-frequency fluctuations of the blood oxygen-level-dependent (BOLD) fMRI signal. The signal fluctuations, recorded in the absence of any task paradigm, have been shown to reflect anatomical connectivity and are presumed to be a hemodynamic manifestation of slow fluctuations in neuronal activity. Importantly, the technique circumvents many practical limitations of other methodologies and can be compared directly between multiple species. Networks of all species were found underlying multiple levels of sensory, motor, and cognitive processing. Remarkable homologous functional connectivity was found across all species, however network complexity was dramatically increased in primate compared to rodent species. Spontaneous temporal dynamics of the resting-state networks were also preserved across species. The results demonstrate that rats and macaques share remarkable homologous network organization with humans, thereby providing strong support for their use as an animal model in the study of normal and abnormal brain connectivity as well as aiding the interpretation of electrophysiological recordings within the context of large-scale brain networks.
Subjects/Keywords: functional connectivity; resting-state; fMRI; animal models; networks; homology; Systems Neuroscience
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APA (6th Edition):
Hutchison, R. M. (2012). Brain connectivity studied by fMRI: homologous network organization in the rat, monkey, and human. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/637
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Hutchison, R Matthew. “Brain connectivity studied by fMRI: homologous network organization in the rat, monkey, and human.” 2012. Thesis, University of Western Ontario. Accessed February 27, 2021.
https://ir.lib.uwo.ca/etd/637.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hutchison, R Matthew. “Brain connectivity studied by fMRI: homologous network organization in the rat, monkey, and human.” 2012. Web. 27 Feb 2021.
Vancouver:
Hutchison RM. Brain connectivity studied by fMRI: homologous network organization in the rat, monkey, and human. [Internet] [Thesis]. University of Western Ontario; 2012. [cited 2021 Feb 27].
Available from: https://ir.lib.uwo.ca/etd/637.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hutchison RM. Brain connectivity studied by fMRI: homologous network organization in the rat, monkey, and human. [Thesis]. University of Western Ontario; 2012. Available from: https://ir.lib.uwo.ca/etd/637
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
28.
Smid, Annemijn (author).
Graph analysis of resting state EEG functional networks.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:f8635ce3-5eeb-4c3c-ba11-9086444c50c8
► Migraine is associated with brain dysfunction, possibly due to disturbances in the interactions between distributed cortical regions. Detection of these disturbances in the topological organization…
(more)
▼ Migraine is associated with brain dysfunction, possibly due to disturbances in the interactions between distributed cortical regions. Detection of these disturbances in the topological organization of the brain’s functional network would contribute to further understanding of migraine pathophysiology. Altered cortical responses to external stimulation of different modalities are observed in migraine patients, also between attacks (in the interictal
state). However, it is yet unclear if abnormalities are detectable in the functional network at rest, i.e. without external stimulation. Here, we assessed abnormalities in migraine functional networks on a global and a local level, based on
resting state electroencephalography (EEG) data and graph analysis. Scalp-wide (128-channel) eyes closed EEG was recorded in 18 episodic migraine patients with and without aura and 15 healthy controls. We calculated functional connectivity based on coherence and phase-lag index, and performed graph analysis to characterize network topology. The minimum spanning tree, a subgraph with maximum functional connectivity, was used for comparison. No significant differences were found in network topology, nor in functional connectivity strength between groups. These results demonstrate that this type of graph analyses are not sensitive to any possible abnormalities in the interictal migraine functional network in
resting state. Brain dysfunction in migraine might occur only on a local level, making EEG-based graph analysis a less suitable technique to uncover such abnormalities.
Advisors/Committee Members: Schouten, Alfred (mentor), Perenboom, Thijs (mentor), Wehrmann, Caroline (graduation committee), van de Ruit, Mark (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Graph analysis; Migraine; Functional networks; EEG analysis; Resting state
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APA (6th Edition):
Smid, A. (. (2018). Graph analysis of resting state EEG functional networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f8635ce3-5eeb-4c3c-ba11-9086444c50c8
Chicago Manual of Style (16th Edition):
Smid, Annemijn (author). “Graph analysis of resting state EEG functional networks.” 2018. Masters Thesis, Delft University of Technology. Accessed February 27, 2021.
http://resolver.tudelft.nl/uuid:f8635ce3-5eeb-4c3c-ba11-9086444c50c8.
MLA Handbook (7th Edition):
Smid, Annemijn (author). “Graph analysis of resting state EEG functional networks.” 2018. Web. 27 Feb 2021.
Vancouver:
Smid A(. Graph analysis of resting state EEG functional networks. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Feb 27].
Available from: http://resolver.tudelft.nl/uuid:f8635ce3-5eeb-4c3c-ba11-9086444c50c8.
Council of Science Editors:
Smid A(. Graph analysis of resting state EEG functional networks. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:f8635ce3-5eeb-4c3c-ba11-9086444c50c8
University of Florida
29.
Lussier-Levesque, Desiree Lynn.
Age Differential Effects of Oxytocin on Resting State Functional Connectivity in Women.
Degree: MS, Psychology, 2018, University of Florida
URL: https://ufdc.ufl.edu/UFE0052226
► Socioemotional Selectivity Theory proposes that older adults experience a shift in goals and motivation, rendering social relationships a priority. At the same time, aging is…
(more)
▼ Socioemotional Selectivity Theory proposes that older adults experience a shift in goals and motivation, rendering social relationships a priority. At the same time, aging is associated with change in social functioning, such as a decline in the ability to interpret the thoughts and feelings of others. These functional changes can create difficulty in the social interactions of older adults during a time in adult development when social relationships are becoming increasingly important. The neuropeptide oxytocin (OT) is associated with benefits in social functioning (e.g., enhanced ability to accurately read and interpret emotional facial expressions in others). There is growing evidence suggesting that OT acts in brain areas involved in social functioning such as the cingulate cortices, medial prefrontal cortex (mPFC), insula (IN), amygdala (AMY), and nucleus accumbens (NAcc), and that OT enhances functional connectivity among these regions and with the brain stem. However, currently, a clear understanding of the brain mechanisms underlying the role of OT in social functioning is lacking. Further, the current literature, though still small, suggests that the intranasal effects of OT may vary by sex and age. To further contribute to this currently sparse literature, this project used magnetic resonance imaging (MRI) to investigate the neural mechanisms of acute (i.e., single-dose) intranasal OT administration on
resting-
state functional connectivity among areas of the social brain in 20 younger (M = 22.7 years, SD = 3.28) and 23 older (M = 70.5 years, SD = 4.91) women. Participants were randomly assigned, in a double-blind between-
subject design, to either self-administer 24 international units (IUs) of OT or placebo (P) nasal spray before images of their brain were taken at rest. Effects of treatment x age group on
resting-
state functional connectivity based on blood oxygen level dependent (BOLD) signal were investigated among regions of the social brain (i.e., anterior cingulate cortex (ACC), posterior cingulate cortex (PCC), IN, mPFC, NAcc, AMY, and brain stem). Younger compared to older women in the P group showed greater
resting-
state functional connectivity between social brain regions. Younger women in the OT compared to the P group showed less
resting-
state functional connectivity between the brain stem and social brain regions, while there were no significant treatment-related effects within these regions for older women. These findings suggest that the effect of OT on social brain mechanisms may change over the course of the adult lifespan for women. ( en )
Advisors/Committee Members: EBNER,NATALIE CHRISTINA (committee chair), SCOTT,LISA (committee member).
Subjects/Keywords: accumbens – aging – amygdala – connectivity – fmri – insula – oxytocin – resting-state – social – women
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APA ·
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APA (6th Edition):
Lussier-Levesque, D. L. (2018). Age Differential Effects of Oxytocin on Resting State Functional Connectivity in Women. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052226
Chicago Manual of Style (16th Edition):
Lussier-Levesque, Desiree Lynn. “Age Differential Effects of Oxytocin on Resting State Functional Connectivity in Women.” 2018. Masters Thesis, University of Florida. Accessed February 27, 2021.
https://ufdc.ufl.edu/UFE0052226.
MLA Handbook (7th Edition):
Lussier-Levesque, Desiree Lynn. “Age Differential Effects of Oxytocin on Resting State Functional Connectivity in Women.” 2018. Web. 27 Feb 2021.
Vancouver:
Lussier-Levesque DL. Age Differential Effects of Oxytocin on Resting State Functional Connectivity in Women. [Internet] [Masters thesis]. University of Florida; 2018. [cited 2021 Feb 27].
Available from: https://ufdc.ufl.edu/UFE0052226.
Council of Science Editors:
Lussier-Levesque DL. Age Differential Effects of Oxytocin on Resting State Functional Connectivity in Women. [Masters Thesis]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0052226
University of Toronto
30.
McCormick, Cornelia.
Hippocampal-Neocortical Networks underlying Episodic Memory and their Clinical Relevance in Medial Temporal Lobe Epilepsy.
Degree: PhD, 2014, University of Toronto
URL: http://hdl.handle.net/1807/68383
► The hippocampus is strongly structurally and functionally connected to one of the core resting state networks of the human brain, the Default Mode Network (DMN).…
(more)
▼ The hippocampus is strongly structurally and functionally connected to one of the core
resting state networks of the human brain, the Default Mode Network (DMN). In addition, regions of the DMN are often co-activated with the hippocampus during episodic autobiographical memory (AM) retrieval tasks. Patients with unilateral medial temporal lobe epilepsy (mTLE) are characterized by a reasonably focal damage to the hippocampus and a specific episodic memory deficit, therefore offering the opportunity to examine the impact of hippocampal damage on DMN connectivity and how these disruptions map onto the specific deficit in episodic memory capacity. Together, these findings led to the main focus of the current thesis; that is to examine how hippocampal-neocortical networks underlying episodic memory are affected by mTLE. The first two studies of this thesis focused on
resting state DMN connectivity in patients with mTLE, and revealed that functional connectivity between both hippocampi and the posterior part of the DMN, including the posterior cingulate cortex (PCC) was indicative of episodic memory capacity in this patient population. The last two studies of this thesis focused on how the hippocampus is at the center of transient episodic AM networks. In healthy controls, we were able to show that the left hippocampus was connected to different sets of brain regions during different stages of AM retrieval, construction and elaboration. Lastly, this flexible hippocampal-neocortical interplay was hindered in patients with mTLE. Together, we conclude that DMN connectivity reflects episodic memory capacity in patients with mTLE and might be of potential use in the clinical management in this patient population. Additionally, our data provide evidence that episodic memory is supported by an extensive repertoire of flexible, transient hippocampal-neocortical networks and that these dynamic networks extend beyond the regions of the DMN centering on the hippocampus as a major episodic memory hub of the brain.
Advisors/Committee Members: Pat, McAndrews Mary, Medical Science.
Subjects/Keywords: Autobiographical Memory; Functional Connectivity; Neuronal Networks; Resting State fMRI; 0317
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APA ·
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APA (6th Edition):
McCormick, C. (2014). Hippocampal-Neocortical Networks underlying Episodic Memory and their Clinical Relevance in Medial Temporal Lobe Epilepsy. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/68383
Chicago Manual of Style (16th Edition):
McCormick, Cornelia. “Hippocampal-Neocortical Networks underlying Episodic Memory and their Clinical Relevance in Medial Temporal Lobe Epilepsy.” 2014. Doctoral Dissertation, University of Toronto. Accessed February 27, 2021.
http://hdl.handle.net/1807/68383.
MLA Handbook (7th Edition):
McCormick, Cornelia. “Hippocampal-Neocortical Networks underlying Episodic Memory and their Clinical Relevance in Medial Temporal Lobe Epilepsy.” 2014. Web. 27 Feb 2021.
Vancouver:
McCormick C. Hippocampal-Neocortical Networks underlying Episodic Memory and their Clinical Relevance in Medial Temporal Lobe Epilepsy. [Internet] [Doctoral dissertation]. University of Toronto; 2014. [cited 2021 Feb 27].
Available from: http://hdl.handle.net/1807/68383.
Council of Science Editors:
McCormick C. Hippocampal-Neocortical Networks underlying Episodic Memory and their Clinical Relevance in Medial Temporal Lobe Epilepsy. [Doctoral Dissertation]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68383
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Open Access Theses and Dissertations
