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You searched for subject:(Brain connectivity). Showing records 1 – 30 of 240 total matches.

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1. Demiralp, Cagatay. Computational Brain Connectivity Using Diffusion MRI.

Degree: PhD, Computer Science, 2012, Brown University

 This dissertation shows that qualitative and quantitative characterization of patterned structures in brain connectivity data obtained using diffusion MRI not only improves the exploration of… (more)

Subjects/Keywords: Computational brain connectivity

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APA (6th Edition):

Demiralp, C. (2012). Computational Brain Connectivity Using Diffusion MRI. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:320512/

Chicago Manual of Style (16th Edition):

Demiralp, Cagatay. “Computational Brain Connectivity Using Diffusion MRI.” 2012. Doctoral Dissertation, Brown University. Accessed October 23, 2020. https://repository.library.brown.edu/studio/item/bdr:320512/.

MLA Handbook (7th Edition):

Demiralp, Cagatay. “Computational Brain Connectivity Using Diffusion MRI.” 2012. Web. 23 Oct 2020.

Vancouver:

Demiralp C. Computational Brain Connectivity Using Diffusion MRI. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Oct 23]. Available from: https://repository.library.brown.edu/studio/item/bdr:320512/.

Council of Science Editors:

Demiralp C. Computational Brain Connectivity Using Diffusion MRI. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:320512/


Vanderbilt University

2. Fan, Qiuyun. Diffusion Tensor Imaging reveals correlations between brain connectivity and children's reading abilities.

Degree: MS, Biomedical Engineering, 2011, Vanderbilt University

 This study demonstrated the relationship between brain connectivity and children’s reading abilities. For the behavioral part, the participants received proper reading interventions based on their… (more)

Subjects/Keywords: DTI; brain connectivity; reading

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APA (6th Edition):

Fan, Q. (2011). Diffusion Tensor Imaging reveals correlations between brain connectivity and children's reading abilities. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11518

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):

Fan, Qiuyun. “Diffusion Tensor Imaging reveals correlations between brain connectivity and children's reading abilities.” 2011. Thesis, Vanderbilt University. Accessed October 23, 2020. http://hdl.handle.net/1803/11518.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fan, Qiuyun. “Diffusion Tensor Imaging reveals correlations between brain connectivity and children's reading abilities.” 2011. Web. 23 Oct 2020.

Vancouver:

Fan Q. Diffusion Tensor Imaging reveals correlations between brain connectivity and children's reading abilities. [Internet] [Thesis]. Vanderbilt University; 2011. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1803/11518.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fan Q. Diffusion Tensor Imaging reveals correlations between brain connectivity and children's reading abilities. [Thesis]. Vanderbilt University; 2011. Available from: http://hdl.handle.net/1803/11518

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Southern California

3. Aydore, Sergul. Measuring functional connectivity of the brain.

Degree: PhD, Electrical Engineering, 2015, University of Southern California

 The rich temporal content of measurements of electromagnetic activity, including electroencephalography (EEG) and magnetoencephalography (MEG), allow researchers to study dynamic functional networks in the human… (more)

Subjects/Keywords: functional connectivity; brain; EEG; MEG

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APA (6th Edition):

Aydore, S. (2015). Measuring functional connectivity of the brain. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468390/rec/3996

Chicago Manual of Style (16th Edition):

Aydore, Sergul. “Measuring functional connectivity of the brain.” 2015. Doctoral Dissertation, University of Southern California. Accessed October 23, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468390/rec/3996.

MLA Handbook (7th Edition):

Aydore, Sergul. “Measuring functional connectivity of the brain.” 2015. Web. 23 Oct 2020.

Vancouver:

Aydore S. Measuring functional connectivity of the brain. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Oct 23]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468390/rec/3996.

Council of Science Editors:

Aydore S. Measuring functional connectivity of the brain. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468390/rec/3996


University of Melbourne

4. Harding, Ian Herbert. Specialization and integration in brain networks underlying cognitive control in healthy individuals and patients with schizophrenia.

Degree: 2013, University of Melbourne

 Cognitive control lies at the foundation of dynamic and adaptive human behaviour. Through the flexible top-down regulation of lower-order processes, cognitive control operations serve to… (more)

Subjects/Keywords: cognition; brain imaging; brain connectivity; schizophrenia

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APA (6th Edition):

Harding, I. H. (2013). Specialization and integration in brain networks underlying cognitive control in healthy individuals and patients with schizophrenia. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/38203

Chicago Manual of Style (16th Edition):

Harding, Ian Herbert. “Specialization and integration in brain networks underlying cognitive control in healthy individuals and patients with schizophrenia.” 2013. Doctoral Dissertation, University of Melbourne. Accessed October 23, 2020. http://hdl.handle.net/11343/38203.

MLA Handbook (7th Edition):

Harding, Ian Herbert. “Specialization and integration in brain networks underlying cognitive control in healthy individuals and patients with schizophrenia.” 2013. Web. 23 Oct 2020.

Vancouver:

Harding IH. Specialization and integration in brain networks underlying cognitive control in healthy individuals and patients with schizophrenia. [Internet] [Doctoral dissertation]. University of Melbourne; 2013. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/11343/38203.

Council of Science Editors:

Harding IH. Specialization and integration in brain networks underlying cognitive control in healthy individuals and patients with schizophrenia. [Doctoral Dissertation]. University of Melbourne; 2013. Available from: http://hdl.handle.net/11343/38203


University of Sydney

5. Pandejee, Grishma Riken. Prediction and Analysis of Connectivity in the Brain .

Degree: 2018, University of Sydney

 Neural brain connectivity has three aspects: a physical connection between different brain regions – termed anatomical connectivity; a mutual relationship between dynamical activities between different… (more)

Subjects/Keywords: Functional connectivity; Effective connectivity; Anatomical connectivity; Multistep connections; Brain lesion; includes published articles

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APA (6th Edition):

Pandejee, G. R. (2018). Prediction and Analysis of Connectivity in the Brain . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/18179

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):

Pandejee, Grishma Riken. “Prediction and Analysis of Connectivity in the Brain .” 2018. Thesis, University of Sydney. Accessed October 23, 2020. http://hdl.handle.net/2123/18179.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pandejee, Grishma Riken. “Prediction and Analysis of Connectivity in the Brain .” 2018. Web. 23 Oct 2020.

Vancouver:

Pandejee GR. Prediction and Analysis of Connectivity in the Brain . [Internet] [Thesis]. University of Sydney; 2018. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/2123/18179.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pandejee GR. Prediction and Analysis of Connectivity in the Brain . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/18179

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Utah

6. Liu, Wei. Resting state functional magnetic resonance imaging analysis by graphical model.

Degree: PhD, Computing (School of), 2014, University of Utah

 Functional magnetic resonance imaging (fMRI) measures the change of oxygen consumption level in the blood vessels of the human brain, hence indirectly detecting the neuronal… (more)

Subjects/Keywords: Brain connectivity; Functional MRI; Graphical models

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APA (6th Edition):

Liu, W. (2014). Resting state functional magnetic resonance imaging analysis by graphical model. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102

Chicago Manual of Style (16th Edition):

Liu, Wei. “Resting state functional magnetic resonance imaging analysis by graphical model.” 2014. Doctoral Dissertation, University of Utah. Accessed October 23, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102.

MLA Handbook (7th Edition):

Liu, Wei. “Resting state functional magnetic resonance imaging analysis by graphical model.” 2014. Web. 23 Oct 2020.

Vancouver:

Liu W. Resting state functional magnetic resonance imaging analysis by graphical model. [Internet] [Doctoral dissertation]. University of Utah; 2014. [cited 2020 Oct 23]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102.

Council of Science Editors:

Liu W. Resting state functional magnetic resonance imaging analysis by graphical model. [Doctoral Dissertation]. University of Utah; 2014. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102


University of Cincinnati

7. KARUNANAYAKA, PRASANNA RASIKA. BRAIN CONNECTIVITY ANALYSIS OF FUNCTIONAL MAGNETIC RESONANCE DATA FOR STORY COMPREHENSION IN CHILDREN USING GROUP INDEPENDENT COMPONENT ANALYSIS AND STRUCTURAL EQUATION MODELING.

Degree: MS, Engineering : Computer Science, 2007, University of Cincinnati

 Structural Equation Modeling (SEM) is combined with Group Independent Component Analysis (ICA) to investigate the developmental trends in brain connectivity coefficients associated with the human… (more)

Subjects/Keywords: Brain Connectivity Analysis

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APA (6th Edition):

KARUNANAYAKA, P. R. (2007). BRAIN CONNECTIVITY ANALYSIS OF FUNCTIONAL MAGNETIC RESONANCE DATA FOR STORY COMPREHENSION IN CHILDREN USING GROUP INDEPENDENT COMPONENT ANALYSIS AND STRUCTURAL EQUATION MODELING. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172599790

Chicago Manual of Style (16th Edition):

KARUNANAYAKA, PRASANNA RASIKA. “BRAIN CONNECTIVITY ANALYSIS OF FUNCTIONAL MAGNETIC RESONANCE DATA FOR STORY COMPREHENSION IN CHILDREN USING GROUP INDEPENDENT COMPONENT ANALYSIS AND STRUCTURAL EQUATION MODELING.” 2007. Masters Thesis, University of Cincinnati. Accessed October 23, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172599790.

MLA Handbook (7th Edition):

KARUNANAYAKA, PRASANNA RASIKA. “BRAIN CONNECTIVITY ANALYSIS OF FUNCTIONAL MAGNETIC RESONANCE DATA FOR STORY COMPREHENSION IN CHILDREN USING GROUP INDEPENDENT COMPONENT ANALYSIS AND STRUCTURAL EQUATION MODELING.” 2007. Web. 23 Oct 2020.

Vancouver:

KARUNANAYAKA PR. BRAIN CONNECTIVITY ANALYSIS OF FUNCTIONAL MAGNETIC RESONANCE DATA FOR STORY COMPREHENSION IN CHILDREN USING GROUP INDEPENDENT COMPONENT ANALYSIS AND STRUCTURAL EQUATION MODELING. [Internet] [Masters thesis]. University of Cincinnati; 2007. [cited 2020 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172599790.

Council of Science Editors:

KARUNANAYAKA PR. BRAIN CONNECTIVITY ANALYSIS OF FUNCTIONAL MAGNETIC RESONANCE DATA FOR STORY COMPREHENSION IN CHILDREN USING GROUP INDEPENDENT COMPONENT ANALYSIS AND STRUCTURAL EQUATION MODELING. [Masters Thesis]. University of Cincinnati; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172599790


Oklahoma State University

8. Ratliff, Erin L. Role of Cross-Brain Connectivity in Emotion Regulation Within the Parent-Adolescent Dyad.

Degree: Human Development and Family Science, 2019, Oklahoma State University

 Emotion regulation is influential in adolescent mental health outcomes. Specifically, poor emotion regulation skills and strategies have been shown to be related to increased rates… (more)

Subjects/Keywords: adolescents; cross-brain connectivity; emotion regulation; parenting

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APA (6th Edition):

Ratliff, E. L. (2019). Role of Cross-Brain Connectivity in Emotion Regulation Within the Parent-Adolescent Dyad. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/323421

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):

Ratliff, Erin L. “Role of Cross-Brain Connectivity in Emotion Regulation Within the Parent-Adolescent Dyad.” 2019. Thesis, Oklahoma State University. Accessed October 23, 2020. http://hdl.handle.net/11244/323421.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ratliff, Erin L. “Role of Cross-Brain Connectivity in Emotion Regulation Within the Parent-Adolescent Dyad.” 2019. Web. 23 Oct 2020.

Vancouver:

Ratliff EL. Role of Cross-Brain Connectivity in Emotion Regulation Within the Parent-Adolescent Dyad. [Internet] [Thesis]. Oklahoma State University; 2019. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/11244/323421.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ratliff EL. Role of Cross-Brain Connectivity in Emotion Regulation Within the Parent-Adolescent Dyad. [Thesis]. Oklahoma State University; 2019. Available from: http://hdl.handle.net/11244/323421

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New South Wales

9. Perry, Alistair. Brain networks in healthy ageing and psychiatric conditions.

Degree: Psychiatry, 2017, University of New South Wales

 Conceptualising the human brain upon its large-scale interactions has led to the realisation of integrativeneural processes as critical to cerebral functioning. This thesis sought to… (more)

Subjects/Keywords: Functional connectivity; Brain networks; Structural connectivity; Ageing; Bipolar disorder; Graph theory

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APA (6th Edition):

Perry, A. (2017). Brain networks in healthy ageing and psychiatric conditions. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58844 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47732/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Perry, Alistair. “Brain networks in healthy ageing and psychiatric conditions.” 2017. Doctoral Dissertation, University of New South Wales. Accessed October 23, 2020. http://handle.unsw.edu.au/1959.4/58844 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47732/SOURCE02?view=true.

MLA Handbook (7th Edition):

Perry, Alistair. “Brain networks in healthy ageing and psychiatric conditions.” 2017. Web. 23 Oct 2020.

Vancouver:

Perry A. Brain networks in healthy ageing and psychiatric conditions. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Oct 23]. Available from: http://handle.unsw.edu.au/1959.4/58844 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47732/SOURCE02?view=true.

Council of Science Editors:

Perry A. Brain networks in healthy ageing and psychiatric conditions. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58844 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47732/SOURCE02?view=true


University of Melbourne

10. ELLIS, RACHEL. Brain connectivity networks and longitudinal trajectories of depression symptoms in adolescence.

Degree: 2014, University of Melbourne

 Adolescence is a period of increased risk for the onset of depression, and evidence suggests that depressive episodes in adolescence increase the risk for further… (more)

Subjects/Keywords: adolescent depression; growth mixture modelling; brain connectivity; brain networks

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APA (6th Edition):

ELLIS, R. (2014). Brain connectivity networks and longitudinal trajectories of depression symptoms in adolescence. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/42064

Chicago Manual of Style (16th Edition):

ELLIS, RACHEL. “Brain connectivity networks and longitudinal trajectories of depression symptoms in adolescence.” 2014. Doctoral Dissertation, University of Melbourne. Accessed October 23, 2020. http://hdl.handle.net/11343/42064.

MLA Handbook (7th Edition):

ELLIS, RACHEL. “Brain connectivity networks and longitudinal trajectories of depression symptoms in adolescence.” 2014. Web. 23 Oct 2020.

Vancouver:

ELLIS R. Brain connectivity networks and longitudinal trajectories of depression symptoms in adolescence. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/11343/42064.

Council of Science Editors:

ELLIS R. Brain connectivity networks and longitudinal trajectories of depression symptoms in adolescence. [Doctoral Dissertation]. University of Melbourne; 2014. Available from: http://hdl.handle.net/11343/42064

11. Amico, Enrico. Methods and models for brain connectivity assessment across levels of consciousness.

Degree: 2016, Ghent University

 The human brain is one of the most complex and fascinating systems in nature. In the last decades, two events have boosted the investigation of… (more)

Subjects/Keywords: Medicine and Health Sciences; Brain connectivity; brain networks; consciousness

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APA (6th Edition):

Amico, E. (2016). Methods and models for brain connectivity assessment across levels of consciousness. (Thesis). Ghent University. Retrieved from http://hdl.handle.net/1854/LU-8070168

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):

Amico, Enrico. “Methods and models for brain connectivity assessment across levels of consciousness.” 2016. Thesis, Ghent University. Accessed October 23, 2020. http://hdl.handle.net/1854/LU-8070168.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Amico, Enrico. “Methods and models for brain connectivity assessment across levels of consciousness.” 2016. Web. 23 Oct 2020.

Vancouver:

Amico E. Methods and models for brain connectivity assessment across levels of consciousness. [Internet] [Thesis]. Ghent University; 2016. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1854/LU-8070168.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Amico E. Methods and models for brain connectivity assessment across levels of consciousness. [Thesis]. Ghent University; 2016. Available from: http://hdl.handle.net/1854/LU-8070168

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oxford

12. Stevner, Angus Bror Andersen. Whole-brain spatiotemporal characteristics of functional connectivity in transitions between wakefulness and sleep.

Degree: PhD, 2017, University of Oxford

 This thesis provides a novel dynamic large-scale network perspective on brain activity of human sleep based on the analysis of unique human neuroimaging data. Specifically,… (more)

Subjects/Keywords: 612.8; Brain activity; Sleep; Functional connectivity; Functional Magnetic Resonance Imaging; Brain state transitions; NREM sleep; Magnetoencephalography; Structural connectivity; Brain networks

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APA (6th Edition):

Stevner, A. B. A. (2017). Whole-brain spatiotemporal characteristics of functional connectivity in transitions between wakefulness and sleep. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:3ef218c0-a734-4d6f-abf8-ffdb780525aa ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748743

Chicago Manual of Style (16th Edition):

Stevner, Angus Bror Andersen. “Whole-brain spatiotemporal characteristics of functional connectivity in transitions between wakefulness and sleep.” 2017. Doctoral Dissertation, University of Oxford. Accessed October 23, 2020. http://ora.ox.ac.uk/objects/uuid:3ef218c0-a734-4d6f-abf8-ffdb780525aa ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748743.

MLA Handbook (7th Edition):

Stevner, Angus Bror Andersen. “Whole-brain spatiotemporal characteristics of functional connectivity in transitions between wakefulness and sleep.” 2017. Web. 23 Oct 2020.

Vancouver:

Stevner ABA. Whole-brain spatiotemporal characteristics of functional connectivity in transitions between wakefulness and sleep. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2020 Oct 23]. Available from: http://ora.ox.ac.uk/objects/uuid:3ef218c0-a734-4d6f-abf8-ffdb780525aa ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748743.

Council of Science Editors:

Stevner ABA. Whole-brain spatiotemporal characteristics of functional connectivity in transitions between wakefulness and sleep. [Doctoral Dissertation]. University of Oxford; 2017. Available from: http://ora.ox.ac.uk/objects/uuid:3ef218c0-a734-4d6f-abf8-ffdb780525aa ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748743


University of Melbourne

13. Pua, Emmanuel Peng Kiat. Quantifying variation in brain structure and function in autism spectrum disorders (ASD).

Degree: 2019, University of Melbourne

 Neurodevelopmental abnormalities in autism spectrum disorders (ASD) are not well defined. In particular, the link between altered neurodevelopment and ASD symptomatology remains poorly characterised. A… (more)

Subjects/Keywords: autism; MRI; fMRI; brain; functional connectivity; brain networks; brain anatomy; machine learning

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APA (6th Edition):

Pua, E. P. K. (2019). Quantifying variation in brain structure and function in autism spectrum disorders (ASD). (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/224143

Chicago Manual of Style (16th Edition):

Pua, Emmanuel Peng Kiat. “Quantifying variation in brain structure and function in autism spectrum disorders (ASD).” 2019. Doctoral Dissertation, University of Melbourne. Accessed October 23, 2020. http://hdl.handle.net/11343/224143.

MLA Handbook (7th Edition):

Pua, Emmanuel Peng Kiat. “Quantifying variation in brain structure and function in autism spectrum disorders (ASD).” 2019. Web. 23 Oct 2020.

Vancouver:

Pua EPK. Quantifying variation in brain structure and function in autism spectrum disorders (ASD). [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/11343/224143.

Council of Science Editors:

Pua EPK. Quantifying variation in brain structure and function in autism spectrum disorders (ASD). [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/224143


Vanderbilt University

14. Petersen, Kalen John. Novel Assays of Brain Networks and Applications to Neurodegeneration.

Degree: PhD, Chemical and Physical Biology, 2019, Vanderbilt University

 The human brain is comprised of spatially separable, functionally discrete networks which can be mapped in vivo using multimodal magnetic resonance imaging (MRI). MRI permits… (more)

Subjects/Keywords: orbitofrontal cortex; tractography; functional connectivity; Parkinsons disease; impulsivity; brain connectivity; magnetic resonance imaging

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APA (6th Edition):

Petersen, K. J. (2019). Novel Assays of Brain Networks and Applications to Neurodegeneration. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12253

Chicago Manual of Style (16th Edition):

Petersen, Kalen John. “Novel Assays of Brain Networks and Applications to Neurodegeneration.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed October 23, 2020. http://hdl.handle.net/1803/12253.

MLA Handbook (7th Edition):

Petersen, Kalen John. “Novel Assays of Brain Networks and Applications to Neurodegeneration.” 2019. Web. 23 Oct 2020.

Vancouver:

Petersen KJ. Novel Assays of Brain Networks and Applications to Neurodegeneration. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1803/12253.

Council of Science Editors:

Petersen KJ. Novel Assays of Brain Networks and Applications to Neurodegeneration. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://hdl.handle.net/1803/12253

15. Sotelo Munoz, Miguel Renato. Indirect Structural Connectivity As a Biomarker for Stroke Motor Recovery.

Degree: 2020, Marquette University

 In this dissertation project, we demonstrated that diffusion magnetic resonance imaging and measures of indirect structural brain connectivity are sensitive to changes in fiber integrity… (more)

Subjects/Keywords: Brain Connectivity; Indirect Connectivity; Motor Impairment; Network; Stroke; Tractography; Biomedical Engineering and Bioengineering

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APA (6th Edition):

Sotelo Munoz, M. R. (2020). Indirect Structural Connectivity As a Biomarker for Stroke Motor Recovery. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/dissertations_mu/926

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):

Sotelo Munoz, Miguel Renato. “Indirect Structural Connectivity As a Biomarker for Stroke Motor Recovery.” 2020. Thesis, Marquette University. Accessed October 23, 2020. https://epublications.marquette.edu/dissertations_mu/926.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sotelo Munoz, Miguel Renato. “Indirect Structural Connectivity As a Biomarker for Stroke Motor Recovery.” 2020. Web. 23 Oct 2020.

Vancouver:

Sotelo Munoz MR. Indirect Structural Connectivity As a Biomarker for Stroke Motor Recovery. [Internet] [Thesis]. Marquette University; 2020. [cited 2020 Oct 23]. Available from: https://epublications.marquette.edu/dissertations_mu/926.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sotelo Munoz MR. Indirect Structural Connectivity As a Biomarker for Stroke Motor Recovery. [Thesis]. Marquette University; 2020. Available from: https://epublications.marquette.edu/dissertations_mu/926

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Iraji, Armin. Brain Connectivity After Concussion.

Degree: PhD, Biomedical Engineering, 2017, Wayne State University

  Mild traumatic brain injury (mTBI) accounts for over one million emergency visits in the United States each year. While most mTBI patients have normal… (more)

Subjects/Keywords: Brain Connectivity; Brain Injury; Concussion; Connectivity domain; Diffusion MRI; Resting-State fMRI; Biomedical Engineering and Bioengineering; Neurosciences

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APA (6th Edition):

Iraji, A. (2017). Brain Connectivity After Concussion. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1711

Chicago Manual of Style (16th Edition):

Iraji, Armin. “Brain Connectivity After Concussion.” 2017. Doctoral Dissertation, Wayne State University. Accessed October 23, 2020. https://digitalcommons.wayne.edu/oa_dissertations/1711.

MLA Handbook (7th Edition):

Iraji, Armin. “Brain Connectivity After Concussion.” 2017. Web. 23 Oct 2020.

Vancouver:

Iraji A. Brain Connectivity After Concussion. [Internet] [Doctoral dissertation]. Wayne State University; 2017. [cited 2020 Oct 23]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1711.

Council of Science Editors:

Iraji A. Brain Connectivity After Concussion. [Doctoral Dissertation]. Wayne State University; 2017. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1711

17. Kabbara, Aya. Estimation des réseaux cérébraux à partir de l’EEG-hr : application sur les maladies neurologiques : Brain network estimation from dense EEG signals : application to neurological disorders.

Degree: Docteur es, Signal, Image, Vision, 2018, Rennes 1; Université libanaise

Le cerveau humain est un réseau très complexe. Le fonctionnement cérébral ne résulte donc pas de l'activation de régions cérébrales isolées mais au contraire met… (more)

Subjects/Keywords: Réseaux cérébraux; Connectivité fonctionnelle dynamique; Maladies neurologiques; EEG source connectivité; Brain networks; Dynamic functional connectivity; Brain disorders; EEG source connectivity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kabbara, A. (2018). Estimation des réseaux cérébraux à partir de l’EEG-hr : application sur les maladies neurologiques : Brain network estimation from dense EEG signals : application to neurological disorders. (Doctoral Dissertation). Rennes 1; Université libanaise. Retrieved from http://www.theses.fr/2018REN1S028

Chicago Manual of Style (16th Edition):

Kabbara, Aya. “Estimation des réseaux cérébraux à partir de l’EEG-hr : application sur les maladies neurologiques : Brain network estimation from dense EEG signals : application to neurological disorders.” 2018. Doctoral Dissertation, Rennes 1; Université libanaise. Accessed October 23, 2020. http://www.theses.fr/2018REN1S028.

MLA Handbook (7th Edition):

Kabbara, Aya. “Estimation des réseaux cérébraux à partir de l’EEG-hr : application sur les maladies neurologiques : Brain network estimation from dense EEG signals : application to neurological disorders.” 2018. Web. 23 Oct 2020.

Vancouver:

Kabbara A. Estimation des réseaux cérébraux à partir de l’EEG-hr : application sur les maladies neurologiques : Brain network estimation from dense EEG signals : application to neurological disorders. [Internet] [Doctoral dissertation]. Rennes 1; Université libanaise; 2018. [cited 2020 Oct 23]. Available from: http://www.theses.fr/2018REN1S028.

Council of Science Editors:

Kabbara A. Estimation des réseaux cérébraux à partir de l’EEG-hr : application sur les maladies neurologiques : Brain network estimation from dense EEG signals : application to neurological disorders. [Doctoral Dissertation]. Rennes 1; Université libanaise; 2018. Available from: http://www.theses.fr/2018REN1S028


University of Toronto

18. Good, Tyler J. Modeling the Effect of Repeated Sub-concussive Impacts in Soccer Players Using The Virtual Brain.

Degree: 2015, University of Toronto

Repeated sub-concussive impacts (blows transmitting force to head, but not causing overt concussion symptoms) have been linked to negative outcomes later in life, such as… (more)

Subjects/Keywords: brain connectivity; brain networks; computational modeling; Repetitive sub-concussive impacts; The Virtual Brain; whole-brain model; 0317

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APA (6th Edition):

Good, T. J. (2015). Modeling the Effect of Repeated Sub-concussive Impacts in Soccer Players Using The Virtual Brain. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70396

Chicago Manual of Style (16th Edition):

Good, Tyler J. “Modeling the Effect of Repeated Sub-concussive Impacts in Soccer Players Using The Virtual Brain.” 2015. Masters Thesis, University of Toronto. Accessed October 23, 2020. http://hdl.handle.net/1807/70396.

MLA Handbook (7th Edition):

Good, Tyler J. “Modeling the Effect of Repeated Sub-concussive Impacts in Soccer Players Using The Virtual Brain.” 2015. Web. 23 Oct 2020.

Vancouver:

Good TJ. Modeling the Effect of Repeated Sub-concussive Impacts in Soccer Players Using The Virtual Brain. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/1807/70396.

Council of Science Editors:

Good TJ. Modeling the Effect of Repeated Sub-concussive Impacts in Soccer Players Using The Virtual Brain. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70396


Stellenbosch University

19. Doruyter, Alexander Govert George. Social anxiety disorder : Functional neuroimaging and social cognitive features.

Degree: PhD, Medical Imaging and Clinical Oncology, 2018, Stellenbosch University

ENGLISH SUMMARY : Neuroimaging has enabled important progress in understanding the neurobiology of social anxiety disorder (SAD). Functional neuroimaging experiments in SAD have mostly focused… (more)

Subjects/Keywords: Social phobia; Brain  – Diagnostic imaging; Brain  – Neuroimaging; Social phobia  – Chemotherapy; Functional connectivity; UCTD

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APA (6th Edition):

Doruyter, A. G. G. (2018). Social anxiety disorder : Functional neuroimaging and social cognitive features. (Doctoral Dissertation). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/103504

Chicago Manual of Style (16th Edition):

Doruyter, Alexander Govert George. “Social anxiety disorder : Functional neuroimaging and social cognitive features.” 2018. Doctoral Dissertation, Stellenbosch University. Accessed October 23, 2020. http://hdl.handle.net/10019.1/103504.

MLA Handbook (7th Edition):

Doruyter, Alexander Govert George. “Social anxiety disorder : Functional neuroimaging and social cognitive features.” 2018. Web. 23 Oct 2020.

Vancouver:

Doruyter AGG. Social anxiety disorder : Functional neuroimaging and social cognitive features. [Internet] [Doctoral dissertation]. Stellenbosch University; 2018. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10019.1/103504.

Council of Science Editors:

Doruyter AGG. Social anxiety disorder : Functional neuroimaging and social cognitive features. [Doctoral Dissertation]. Stellenbosch University; 2018. Available from: http://hdl.handle.net/10019.1/103504


Boston University

20. Dong, Yue. FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty.

Degree: MS, Medical Sciences, 2019, Boston University

 Recent estimates of prevalence of Autism Spectrum Disorders (ASD) in the United States exceeds 1.4%. Identifying neural correlates can provide important insight to help refine… (more)

Subjects/Keywords: Neurosciences; Autism spectrum disorders; Brain activity; Brain connectivity; fMRI; Intolerance of uncertainty; Neural correlates

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APA (6th Edition):

Dong, Y. (2019). FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/36351

Chicago Manual of Style (16th Edition):

Dong, Yue. “FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty.” 2019. Masters Thesis, Boston University. Accessed October 23, 2020. http://hdl.handle.net/2144/36351.

MLA Handbook (7th Edition):

Dong, Yue. “FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty.” 2019. Web. 23 Oct 2020.

Vancouver:

Dong Y. FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty. [Internet] [Masters thesis]. Boston University; 2019. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/2144/36351.

Council of Science Editors:

Dong Y. FMRI correlates in autism spectrum disorder populations: evidence for intolerance of uncertainty. [Masters Thesis]. Boston University; 2019. Available from: http://hdl.handle.net/2144/36351


University of Georgia

21. Dai, Ruichen. Inferring brain pathways of dynamic functional connectivity by diffusion and influence modeling.

Degree: 2016, University of Georgia

 Growing research evidence from the functional brain imaging field indicates that the propagation of functional interactions provides an essential implementation of various brain functions. However,… (more)

Subjects/Keywords: Brain functional connectivity; brain functional dynamics; network inference; information propagation and diffusion.

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APA (6th Edition):

Dai, R. (2016). Inferring brain pathways of dynamic functional connectivity by diffusion and influence modeling. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/35050

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):

Dai, Ruichen. “Inferring brain pathways of dynamic functional connectivity by diffusion and influence modeling.” 2016. Thesis, University of Georgia. Accessed October 23, 2020. http://hdl.handle.net/10724/35050.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dai, Ruichen. “Inferring brain pathways of dynamic functional connectivity by diffusion and influence modeling.” 2016. Web. 23 Oct 2020.

Vancouver:

Dai R. Inferring brain pathways of dynamic functional connectivity by diffusion and influence modeling. [Internet] [Thesis]. University of Georgia; 2016. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10724/35050.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dai R. Inferring brain pathways of dynamic functional connectivity by diffusion and influence modeling. [Thesis]. University of Georgia; 2016. Available from: http://hdl.handle.net/10724/35050

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia State University

22. Dhakal, Kiran. Brain Functional and Structural Networks Underpinning Musical Creativity.

Degree: PhD, Physics and Astronomy, 2020, Georgia State University

  Musical improvisation is one of the most complex forms of creative behavior, which offers a realistic task paradigm for the investigation of real-time creativity.… (more)

Subjects/Keywords: neural correlates of creativity; musical improvisation; music and brain; brain connectivity; white matter fiber tracts

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APA (6th Edition):

Dhakal, K. (2020). Brain Functional and Structural Networks Underpinning Musical Creativity. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/124

Chicago Manual of Style (16th Edition):

Dhakal, Kiran. “Brain Functional and Structural Networks Underpinning Musical Creativity.” 2020. Doctoral Dissertation, Georgia State University. Accessed October 23, 2020. https://scholarworks.gsu.edu/phy_astr_diss/124.

MLA Handbook (7th Edition):

Dhakal, Kiran. “Brain Functional and Structural Networks Underpinning Musical Creativity.” 2020. Web. 23 Oct 2020.

Vancouver:

Dhakal K. Brain Functional and Structural Networks Underpinning Musical Creativity. [Internet] [Doctoral dissertation]. Georgia State University; 2020. [cited 2020 Oct 23]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/124.

Council of Science Editors:

Dhakal K. Brain Functional and Structural Networks Underpinning Musical Creativity. [Doctoral Dissertation]. Georgia State University; 2020. Available from: https://scholarworks.gsu.edu/phy_astr_diss/124


University of Pennsylvania

23. Baum, Graham Leigh. Development Of Human Brain Network Architecture Underlying Executive Function.

Degree: 2019, University of Pennsylvania

 The transition from late childhood to adulthood is characterized by refinements in brain structure and function that support the dynamic control of attention and goal-directed… (more)

Subjects/Keywords: Brain Connectivity; Brain Development; Connectome; Executive Function; MRI; Network; Neuroscience and Neurobiology

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APA (6th Edition):

Baum, G. L. (2019). Development Of Human Brain Network Architecture Underlying Executive Function. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/3553

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):

Baum, Graham Leigh. “Development Of Human Brain Network Architecture Underlying Executive Function.” 2019. Thesis, University of Pennsylvania. Accessed October 23, 2020. https://repository.upenn.edu/edissertations/3553.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Baum, Graham Leigh. “Development Of Human Brain Network Architecture Underlying Executive Function.” 2019. Web. 23 Oct 2020.

Vancouver:

Baum GL. Development Of Human Brain Network Architecture Underlying Executive Function. [Internet] [Thesis]. University of Pennsylvania; 2019. [cited 2020 Oct 23]. Available from: https://repository.upenn.edu/edissertations/3553.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Baum GL. Development Of Human Brain Network Architecture Underlying Executive Function. [Thesis]. University of Pennsylvania; 2019. Available from: https://repository.upenn.edu/edissertations/3553

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universiteit Utrecht

24. Grol, M.J. Parieto-frontal circuitry in visuomotor control.

Degree: 2008, Universiteit Utrecht

 One of the fundamental questions in cognitive neuroscience is the question how sensory cues influence the motor system. This thesis investigates how different circuits in… (more)

Subjects/Keywords: Sociale Wetenschappen; connectivity; human brain; fMRI; conditional motor learning; visuomotor associations

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Grol, M. J. (2008). Parieto-frontal circuitry in visuomotor control. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/25818

Chicago Manual of Style (16th Edition):

Grol, M J. “Parieto-frontal circuitry in visuomotor control.” 2008. Doctoral Dissertation, Universiteit Utrecht. Accessed October 23, 2020. http://dspace.library.uu.nl:8080/handle/1874/25818.

MLA Handbook (7th Edition):

Grol, M J. “Parieto-frontal circuitry in visuomotor control.” 2008. Web. 23 Oct 2020.

Vancouver:

Grol MJ. Parieto-frontal circuitry in visuomotor control. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2008. [cited 2020 Oct 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/25818.

Council of Science Editors:

Grol MJ. Parieto-frontal circuitry in visuomotor control. [Doctoral Dissertation]. Universiteit Utrecht; 2008. Available from: http://dspace.library.uu.nl:8080/handle/1874/25818


Universiteit Utrecht

25. Knaap, L.J. van der. The Corpus Callosum and Brain Hemisphere Communication; How does the corpus callosum mediate interhemispheric transfer.

Degree: 2010, Universiteit Utrecht

 The corpus callosum is the largest white matter structure in the human brain, connecting symmetrical and asymmetrical cortical regions of the opposing cerebral hemispheres. Complete… (more)

Subjects/Keywords: Corpus callosum; Interhemispheric transfer; Split brain; Lateralization; Connectivity; Morphology

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APA (6th Edition):

Knaap, L. J. v. d. (2010). The Corpus Callosum and Brain Hemisphere Communication; How does the corpus callosum mediate interhemispheric transfer. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/188850

Chicago Manual of Style (16th Edition):

Knaap, L J van der. “The Corpus Callosum and Brain Hemisphere Communication; How does the corpus callosum mediate interhemispheric transfer.” 2010. Masters Thesis, Universiteit Utrecht. Accessed October 23, 2020. http://dspace.library.uu.nl:8080/handle/1874/188850.

MLA Handbook (7th Edition):

Knaap, L J van der. “The Corpus Callosum and Brain Hemisphere Communication; How does the corpus callosum mediate interhemispheric transfer.” 2010. Web. 23 Oct 2020.

Vancouver:

Knaap LJvd. The Corpus Callosum and Brain Hemisphere Communication; How does the corpus callosum mediate interhemispheric transfer. [Internet] [Masters thesis]. Universiteit Utrecht; 2010. [cited 2020 Oct 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/188850.

Council of Science Editors:

Knaap LJvd. The Corpus Callosum and Brain Hemisphere Communication; How does the corpus callosum mediate interhemispheric transfer. [Masters Thesis]. Universiteit Utrecht; 2010. Available from: http://dspace.library.uu.nl:8080/handle/1874/188850

26. Bos, D.J. Under Construction : Brain connectivity and fatty acid treatment in developmental disorders.

Degree: 2016, Universiteit Utrecht

 Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) are two of the most commonly diagnosed neurodevelopmental disorders. It is hypothesized that deficits in the development… (more)

Subjects/Keywords: ADHD; Autism; Development; Psychiatry; Brain; Connectivity; Omega-3

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APA (6th Edition):

Bos, D. J. (2016). Under Construction : Brain connectivity and fatty acid treatment in developmental disorders. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/326438

Chicago Manual of Style (16th Edition):

Bos, D J. “Under Construction : Brain connectivity and fatty acid treatment in developmental disorders.” 2016. Doctoral Dissertation, Universiteit Utrecht. Accessed October 23, 2020. http://dspace.library.uu.nl:8080/handle/1874/326438.

MLA Handbook (7th Edition):

Bos, D J. “Under Construction : Brain connectivity and fatty acid treatment in developmental disorders.” 2016. Web. 23 Oct 2020.

Vancouver:

Bos DJ. Under Construction : Brain connectivity and fatty acid treatment in developmental disorders. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2016. [cited 2020 Oct 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/326438.

Council of Science Editors:

Bos DJ. Under Construction : Brain connectivity and fatty acid treatment in developmental disorders. [Doctoral Dissertation]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/326438

27. Tax, C.M.W. Less Confusion in Diffusion MRI.

Degree: 2016, Universiteit Utrecht

 With its unique ability to investigate tissue architecture and microstructure in vivo, diffusion MRI (dMRI) has gained tremendous interest and the society has been continuously… (more)

Subjects/Keywords: diffusion magnetic resonance imaging; medical image analysis; brain; structural connectivity

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APA (6th Edition):

Tax, C. M. W. (2016). Less Confusion in Diffusion MRI. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/337377

Chicago Manual of Style (16th Edition):

Tax, C M W. “Less Confusion in Diffusion MRI.” 2016. Doctoral Dissertation, Universiteit Utrecht. Accessed October 23, 2020. http://dspace.library.uu.nl:8080/handle/1874/337377.

MLA Handbook (7th Edition):

Tax, C M W. “Less Confusion in Diffusion MRI.” 2016. Web. 23 Oct 2020.

Vancouver:

Tax CMW. Less Confusion in Diffusion MRI. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2016. [cited 2020 Oct 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/337377.

Council of Science Editors:

Tax CMW. Less Confusion in Diffusion MRI. [Doctoral Dissertation]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/337377

28. Σακελλαρίου, Δημήτριος. Συνδετικότητα εγκεφάλου στο ηλεκτροεγκεφαλογράφημα ύπνου.

Degree: 2013, University of Patras

Η συνδετικότητα εγκεφάλου αφορά σε πρότυπα δικτύων τόσο ανατομικών, όσο στατιστικά ή και αιτιακά συσχετισμένων συνδέσεων διακριτών μονάδων του νευρικού συστήματος του εγκεφάλου. Στην εργασία… (more)

Subjects/Keywords: Συνδετικότητα; Ηλεκτροεγκεφαλογράφημα (ΗΕΓ); Νευροεπιστήμες; 612.821; Connectivity; Neurosciences (EEG); Brain

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APA (6th Edition):

Σακελλαρίου, . (2013). Συνδετικότητα εγκεφάλου στο ηλεκτροεγκεφαλογράφημα ύπνου. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/7467

Chicago Manual of Style (16th Edition):

Σακελλαρίου, Δημήτριος. “Συνδετικότητα εγκεφάλου στο ηλεκτροεγκεφαλογράφημα ύπνου.” 2013. Masters Thesis, University of Patras. Accessed October 23, 2020. http://hdl.handle.net/10889/7467.

MLA Handbook (7th Edition):

Σακελλαρίου, Δημήτριος. “Συνδετικότητα εγκεφάλου στο ηλεκτροεγκεφαλογράφημα ύπνου.” 2013. Web. 23 Oct 2020.

Vancouver:

Σακελλαρίου . Συνδετικότητα εγκεφάλου στο ηλεκτροεγκεφαλογράφημα ύπνου. [Internet] [Masters thesis]. University of Patras; 2013. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10889/7467.

Council of Science Editors:

Σακελλαρίου . Συνδετικότητα εγκεφάλου στο ηλεκτροεγκεφαλογράφημα ύπνου. [Masters Thesis]. University of Patras; 2013. Available from: http://hdl.handle.net/10889/7467

29. Sakellariou, Dimitrios. Connectivity measures in the electroencephalogram of sleep and epilepsy.

Degree: 2016, University of Patras; Πανεπιστήμιο Πατρών

 From birth, we spend at least one third of our lives asleep. After decades of research the reasons still remain to be elucidated. Greek mythology… (more)

Subjects/Keywords: Ηλεκτροεγκεφαλογράφημα; Συνδετικότητα εγκεφάλου; Ύπνος; Επιληψία; EEG; Brain connectivity; Sleep; Epilepsy

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APA (6th Edition):

Sakellariou, D. (2016). Connectivity measures in the electroencephalogram of sleep and epilepsy. (Thesis). University of Patras; Πανεπιστήμιο Πατρών. Retrieved from http://hdl.handle.net/10442/hedi/41176

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):

Sakellariou, Dimitrios. “Connectivity measures in the electroencephalogram of sleep and epilepsy.” 2016. Thesis, University of Patras; Πανεπιστήμιο Πατρών. Accessed October 23, 2020. http://hdl.handle.net/10442/hedi/41176.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sakellariou, Dimitrios. “Connectivity measures in the electroencephalogram of sleep and epilepsy.” 2016. Web. 23 Oct 2020.

Vancouver:

Sakellariou D. Connectivity measures in the electroencephalogram of sleep and epilepsy. [Internet] [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2016. [cited 2020 Oct 23]. Available from: http://hdl.handle.net/10442/hedi/41176.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sakellariou D. Connectivity measures in the electroencephalogram of sleep and epilepsy. [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2016. Available from: http://hdl.handle.net/10442/hedi/41176

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

30. Nichols, Travis Tyler. Changes in brain networks involved in reward processing during abstinence from cigarettes.

Degree: 2016, Penn State University

 Dysregulated reward processing in addiction is characterized by overvaluing drug stimuli and undervaluing other rewards (e.g., sex, food, money, etc.). Research suggests this may play… (more)

Subjects/Keywords: fMRI; cigarettes; smoking; brain networks; connectivity; addiction; beta series; reward processing

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APA (6th Edition):

Nichols, T. T. (2016). Changes in brain networks involved in reward processing during abstinence from cigarettes. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/hm50tr73g

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):

Nichols, Travis Tyler. “Changes in brain networks involved in reward processing during abstinence from cigarettes.” 2016. Thesis, Penn State University. Accessed October 23, 2020. https://submit-etda.libraries.psu.edu/catalog/hm50tr73g.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nichols, Travis Tyler. “Changes in brain networks involved in reward processing during abstinence from cigarettes.” 2016. Web. 23 Oct 2020.

Vancouver:

Nichols TT. Changes in brain networks involved in reward processing during abstinence from cigarettes. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/hm50tr73g.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nichols TT. Changes in brain networks involved in reward processing during abstinence from cigarettes. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/hm50tr73g

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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