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You searched for subject:(Brain Networks). Showing records 1 – 30 of 215 total matches.

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1. Paolini, Brielle Marie. Self-Regulatory Brain Networks of Eating Behavior.

Degree: 2015, Wake Forest University

 Obesity is currently a public health crisis in North America not sparing the rapidly expanding population of older adults. While lifestyle interventions remain the most… (more)

Subjects/Keywords: Brain Networks

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APA (6th Edition):

Paolini, B. M. (2015). Self-Regulatory Brain Networks of Eating Behavior. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/57106

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):

Paolini, Brielle Marie. “Self-Regulatory Brain Networks of Eating Behavior.” 2015. Thesis, Wake Forest University. Accessed March 01, 2021. http://hdl.handle.net/10339/57106.

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

MLA Handbook (7th Edition):

Paolini, Brielle Marie. “Self-Regulatory Brain Networks of Eating Behavior.” 2015. Web. 01 Mar 2021.

Vancouver:

Paolini BM. Self-Regulatory Brain Networks of Eating Behavior. [Internet] [Thesis]. Wake Forest University; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10339/57106.

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

Council of Science Editors:

Paolini BM. Self-Regulatory Brain Networks of Eating Behavior. [Thesis]. Wake Forest University; 2015. Available from: http://hdl.handle.net/10339/57106

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


Vanderbilt University

2. Bailey, Stephen Kent. Attributes of functional network architecture supporting skilled reading.

Degree: PhD, Neuroscience, 2018, Vanderbilt University

 It is now a well-established finding that the human brain has a ``small-world' architecture, which is characterized by densely connected modules and a highly-connected hub… (more)

Subjects/Keywords: reading; brain networks; functional MRI

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APA (6th Edition):

Bailey, S. K. (2018). Attributes of functional network architecture supporting skilled reading. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14713

Chicago Manual of Style (16th Edition):

Bailey, Stephen Kent. “Attributes of functional network architecture supporting skilled reading.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed March 01, 2021. http://hdl.handle.net/1803/14713.

MLA Handbook (7th Edition):

Bailey, Stephen Kent. “Attributes of functional network architecture supporting skilled reading.” 2018. Web. 01 Mar 2021.

Vancouver:

Bailey SK. Attributes of functional network architecture supporting skilled reading. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1803/14713.

Council of Science Editors:

Bailey SK. Attributes of functional network architecture supporting skilled reading. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/14713


Uppsala University

3. Tonial, Genny. The Returning Indian Diaspora : Exploratory Research on Indian Return Migration Drivers and potential Effects on Firms’ Performance and Country’s Development.

Degree: Business Studies, 2012, Uppsala University

  This research investigates the drivers that pushed Returned Non Resident Indians(RNRIs) to come back to their homeland and their potential contribution, through the knowledgeand… (more)

Subjects/Keywords: Diaspora • RNRIs • knowledge • brain drain • brain gain • brain circulation • networks

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APA (6th Edition):

Tonial, G. (2012). The Returning Indian Diaspora : Exploratory Research on Indian Return Migration Drivers and potential Effects on Firms’ Performance and Country’s Development. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176189

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):

Tonial, Genny. “The Returning Indian Diaspora : Exploratory Research on Indian Return Migration Drivers and potential Effects on Firms’ Performance and Country’s Development.” 2012. Thesis, Uppsala University. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176189.

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

MLA Handbook (7th Edition):

Tonial, Genny. “The Returning Indian Diaspora : Exploratory Research on Indian Return Migration Drivers and potential Effects on Firms’ Performance and Country’s Development.” 2012. Web. 01 Mar 2021.

Vancouver:

Tonial G. The Returning Indian Diaspora : Exploratory Research on Indian Return Migration Drivers and potential Effects on Firms’ Performance and Country’s Development. [Internet] [Thesis]. Uppsala University; 2012. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176189.

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

Council of Science Editors:

Tonial G. The Returning Indian Diaspora : Exploratory Research on Indian Return Migration Drivers and potential Effects on Firms’ Performance and Country’s Development. [Thesis]. Uppsala University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176189

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


Columbia University

4. Russo, Abigail Anita. Neural Dynamics and the Geometry of Population Activity.

Degree: 2019, Columbia University

 A growing body of research indicates that much of the brain’s computation is invisible from the activity of individual neurons, but instead instantiated via population-level… (more)

Subjects/Keywords: Neurosciences; Neurobiology; Neural networks (Neurobiology); Brain

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APA (6th Edition):

Russo, A. A. (2019). Neural Dynamics and the Geometry of Population Activity. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-5518-x474

Chicago Manual of Style (16th Edition):

Russo, Abigail Anita. “Neural Dynamics and the Geometry of Population Activity.” 2019. Doctoral Dissertation, Columbia University. Accessed March 01, 2021. https://doi.org/10.7916/d8-5518-x474.

MLA Handbook (7th Edition):

Russo, Abigail Anita. “Neural Dynamics and the Geometry of Population Activity.” 2019. Web. 01 Mar 2021.

Vancouver:

Russo AA. Neural Dynamics and the Geometry of Population Activity. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2021 Mar 01]. Available from: https://doi.org/10.7916/d8-5518-x474.

Council of Science Editors:

Russo AA. Neural Dynamics and the Geometry of Population Activity. [Doctoral Dissertation]. Columbia University; 2019. Available from: https://doi.org/10.7916/d8-5518-x474


Washington University in St. Louis

5. Daitch, Amy Leah. Temporal Dynamics of Endogenous and Stimulus-Driven Attention: Combined ECoG/fMRI Studies.

Degree: PhD, Biomedical Engineering, 2014, Washington University in St. Louis

  Selective attention allows us to filter out irrelevant sensory information in the environment and focus neural resources on information relevant to our current goals,… (more)

Subjects/Keywords: Attention; Brain networks; Coherence; ECoG; fMRI

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APA (6th Edition):

Daitch, A. L. (2014). Temporal Dynamics of Endogenous and Stimulus-Driven Attention: Combined ECoG/fMRI Studies. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/1378

Chicago Manual of Style (16th Edition):

Daitch, Amy Leah. “Temporal Dynamics of Endogenous and Stimulus-Driven Attention: Combined ECoG/fMRI Studies.” 2014. Doctoral Dissertation, Washington University in St. Louis. Accessed March 01, 2021. https://openscholarship.wustl.edu/etd/1378.

MLA Handbook (7th Edition):

Daitch, Amy Leah. “Temporal Dynamics of Endogenous and Stimulus-Driven Attention: Combined ECoG/fMRI Studies.” 2014. Web. 01 Mar 2021.

Vancouver:

Daitch AL. Temporal Dynamics of Endogenous and Stimulus-Driven Attention: Combined ECoG/fMRI Studies. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2014. [cited 2021 Mar 01]. Available from: https://openscholarship.wustl.edu/etd/1378.

Council of Science Editors:

Daitch AL. Temporal Dynamics of Endogenous and Stimulus-Driven Attention: Combined ECoG/fMRI Studies. [Doctoral Dissertation]. Washington University in St. Louis; 2014. Available from: https://openscholarship.wustl.edu/etd/1378


University of Melbourne

6. RAYNER, GENEVIEVE. Neurocognitive and psychiatric markers of network disease in epilepsy.

Degree: 2015, University of Melbourne

 People with epilepsy frequently experience debilitating memory and mood difficulties. Autobiographic memory impairments are a vulnerability factor for developing and maintaining unipolar depression in the… (more)

Subjects/Keywords: epilepsy; depression; memory; neuropsychology; phenotypes; brain networks

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APA (6th Edition):

RAYNER, G. (2015). Neurocognitive and psychiatric markers of network disease in epilepsy. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/56407

Chicago Manual of Style (16th Edition):

RAYNER, GENEVIEVE. “Neurocognitive and psychiatric markers of network disease in epilepsy.” 2015. Doctoral Dissertation, University of Melbourne. Accessed March 01, 2021. http://hdl.handle.net/11343/56407.

MLA Handbook (7th Edition):

RAYNER, GENEVIEVE. “Neurocognitive and psychiatric markers of network disease in epilepsy.” 2015. Web. 01 Mar 2021.

Vancouver:

RAYNER G. Neurocognitive and psychiatric markers of network disease in epilepsy. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11343/56407.

Council of Science Editors:

RAYNER G. Neurocognitive and psychiatric markers of network disease in epilepsy. [Doctoral Dissertation]. University of Melbourne; 2015. Available from: http://hdl.handle.net/11343/56407


University of Melbourne

7. 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 March 01, 2021. 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. 01 Mar 2021.

Vancouver:

Pua EPK. Quantifying variation in brain structure and function in autism spectrum disorders (ASD). [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2021 Mar 01]. 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


University of Melbourne

8. 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 March 01, 2021. 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. 01 Mar 2021.

Vancouver:

ELLIS R. Brain connectivity networks and longitudinal trajectories of depression symptoms in adolescence. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2021 Mar 01]. 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

9. 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 March 01, 2021. 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. 01 Mar 2021.

Vancouver:

Amico E. Methods and models for brain connectivity assessment across levels of consciousness. [Internet] [Thesis]. Ghent University; 2016. [cited 2021 Mar 01]. 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

10. Rathee, Dheeraj. Advancing computational analysis and modelling of EEG/MEG data.

Degree: PhD, 2019, Ulster University

 To better understand the human brain, further advancements in the capabilities of computational modelling and analysis of functional neuroimaging data are required. Electro− and magneto−… (more)

Subjects/Keywords: Electroencephalography; Magnetoencephalography; Brain-Computer Interface; Data Analytics; Functional Brain Networks

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APA (6th Edition):

Rathee, D. (2019). Advancing computational analysis and modelling of EEG/MEG data. (Doctoral Dissertation). Ulster University. Retrieved from https://ulster.pure.elsevier.com/en/studentTheses/a51a5fe9-dba6-47b0-8c48-71e6e21faf47 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793723

Chicago Manual of Style (16th Edition):

Rathee, Dheeraj. “Advancing computational analysis and modelling of EEG/MEG data.” 2019. Doctoral Dissertation, Ulster University. Accessed March 01, 2021. https://ulster.pure.elsevier.com/en/studentTheses/a51a5fe9-dba6-47b0-8c48-71e6e21faf47 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793723.

MLA Handbook (7th Edition):

Rathee, Dheeraj. “Advancing computational analysis and modelling of EEG/MEG data.” 2019. Web. 01 Mar 2021.

Vancouver:

Rathee D. Advancing computational analysis and modelling of EEG/MEG data. [Internet] [Doctoral dissertation]. Ulster University; 2019. [cited 2021 Mar 01]. Available from: https://ulster.pure.elsevier.com/en/studentTheses/a51a5fe9-dba6-47b0-8c48-71e6e21faf47 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793723.

Council of Science Editors:

Rathee D. Advancing computational analysis and modelling of EEG/MEG data. [Doctoral Dissertation]. Ulster University; 2019. Available from: https://ulster.pure.elsevier.com/en/studentTheses/a51a5fe9-dba6-47b0-8c48-71e6e21faf47 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793723


University of Toronto

11. 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 March 01, 2021. 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. 01 Mar 2021.

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 2021 Mar 01]. 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

12. Mheich, Ahmad. Méthodes de classification des graphes : application à l’identification des réseaux fonctionnels impliqués dans les processus de mémoire : Methods for graph classification : application to the identification of neural cliques involved in memory porcesses.

Degree: Docteur es, Traitement du signal et télécommunications, 2016, Rennes 1; Université libanaise

 Le cerveau humain est un réseau «large-échelle» formé de régions corticales distribuées et fonctionnellement interconnectées. Le traitement de l'information par le cerveau est un processus… (more)

Subjects/Keywords: Eeg; Réseaux cérébral; Similarité entre graphes; Dynamique des réseaux cérébral; Electroencephalography; Brain network simialrity; Brain networks dynamics; Brain connectivity

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APA (6th Edition):

Mheich, A. (2016). Méthodes de classification des graphes : application à l’identification des réseaux fonctionnels impliqués dans les processus de mémoire : Methods for graph classification : application to the identification of neural cliques involved in memory porcesses. (Doctoral Dissertation). Rennes 1; Université libanaise. Retrieved from http://www.theses.fr/2016REN1S115

Chicago Manual of Style (16th Edition):

Mheich, Ahmad. “Méthodes de classification des graphes : application à l’identification des réseaux fonctionnels impliqués dans les processus de mémoire : Methods for graph classification : application to the identification of neural cliques involved in memory porcesses.” 2016. Doctoral Dissertation, Rennes 1; Université libanaise. Accessed March 01, 2021. http://www.theses.fr/2016REN1S115.

MLA Handbook (7th Edition):

Mheich, Ahmad. “Méthodes de classification des graphes : application à l’identification des réseaux fonctionnels impliqués dans les processus de mémoire : Methods for graph classification : application to the identification of neural cliques involved in memory porcesses.” 2016. Web. 01 Mar 2021.

Vancouver:

Mheich A. Méthodes de classification des graphes : application à l’identification des réseaux fonctionnels impliqués dans les processus de mémoire : Methods for graph classification : application to the identification of neural cliques involved in memory porcesses. [Internet] [Doctoral dissertation]. Rennes 1; Université libanaise; 2016. [cited 2021 Mar 01]. Available from: http://www.theses.fr/2016REN1S115.

Council of Science Editors:

Mheich A. Méthodes de classification des graphes : application à l’identification des réseaux fonctionnels impliqués dans les processus de mémoire : Methods for graph classification : application to the identification of neural cliques involved in memory porcesses. [Doctoral Dissertation]. Rennes 1; Université libanaise; 2016. Available from: http://www.theses.fr/2016REN1S115


University of Oxford

13. 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 March 01, 2021. 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. 01 Mar 2021.

Vancouver:

Stevner ABA. Whole-brain spatiotemporal characteristics of functional connectivity in transitions between wakefulness and sleep. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2021 Mar 01]. 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


McMaster University

14. Weber, Alexander M. Magnetic Resonance Imaging Analysis of Neural Circuit Abnormalities in: Medication Naive Children with Obsessive-Compulsive Disorder, and Normal Healthy Adults During Acute Alcohol Intoxication.

Degree: PhD, 2013, McMaster University

  The human brain is possibly the most complicated structure in the known world. It contains 100 billion neurons, each making contact with 1,000 to… (more)

Subjects/Keywords: resting state networks; mri; brain circuits; neural networks; obsessive-compulsive disorder; alcohol

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APA (6th Edition):

Weber, A. M. (2013). Magnetic Resonance Imaging Analysis of Neural Circuit Abnormalities in: Medication Naive Children with Obsessive-Compulsive Disorder, and Normal Healthy Adults During Acute Alcohol Intoxication. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/13417

Chicago Manual of Style (16th Edition):

Weber, Alexander M. “Magnetic Resonance Imaging Analysis of Neural Circuit Abnormalities in: Medication Naive Children with Obsessive-Compulsive Disorder, and Normal Healthy Adults During Acute Alcohol Intoxication.” 2013. Doctoral Dissertation, McMaster University. Accessed March 01, 2021. http://hdl.handle.net/11375/13417.

MLA Handbook (7th Edition):

Weber, Alexander M. “Magnetic Resonance Imaging Analysis of Neural Circuit Abnormalities in: Medication Naive Children with Obsessive-Compulsive Disorder, and Normal Healthy Adults During Acute Alcohol Intoxication.” 2013. Web. 01 Mar 2021.

Vancouver:

Weber AM. Magnetic Resonance Imaging Analysis of Neural Circuit Abnormalities in: Medication Naive Children with Obsessive-Compulsive Disorder, and Normal Healthy Adults During Acute Alcohol Intoxication. [Internet] [Doctoral dissertation]. McMaster University; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11375/13417.

Council of Science Editors:

Weber AM. Magnetic Resonance Imaging Analysis of Neural Circuit Abnormalities in: Medication Naive Children with Obsessive-Compulsive Disorder, and Normal Healthy Adults During Acute Alcohol Intoxication. [Doctoral Dissertation]. McMaster University; 2013. Available from: http://hdl.handle.net/11375/13417

15. Sandsröm, Tobias. Graph Convolutional Neural Networks for Brain Connectivity Analysis .

Degree: Chalmers tekniska högskola / Institutionen för fysik, 2020, Chalmers University of Technology

 We explore the potential and limitation of Graph Convolutional Neural Networks (GCNs) for classification of brain graphs derived from MRI measurements of subjects with Alzheimer’s… (more)

Subjects/Keywords: Machine Learning; Graph Neural Networks; Graph Convolutional Neural Networks; Supervised Learning; Brain Connectivity; Alzheimer’s Disease

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APA (6th Edition):

Sandsröm, T. (2020). Graph Convolutional Neural Networks for Brain Connectivity Analysis . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/301141

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):

Sandsröm, Tobias. “Graph Convolutional Neural Networks for Brain Connectivity Analysis .” 2020. Thesis, Chalmers University of Technology. Accessed March 01, 2021. http://hdl.handle.net/20.500.12380/301141.

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

MLA Handbook (7th Edition):

Sandsröm, Tobias. “Graph Convolutional Neural Networks for Brain Connectivity Analysis .” 2020. Web. 01 Mar 2021.

Vancouver:

Sandsröm T. Graph Convolutional Neural Networks for Brain Connectivity Analysis . [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/20.500.12380/301141.

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

Council of Science Editors:

Sandsröm T. Graph Convolutional Neural Networks for Brain Connectivity Analysis . [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/301141

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


Colorado State University

16. Forney, Elliott M. Convolutional neural networks for EEG signal classification in asynchronous brain-computer interfaces.

Degree: PhD, Computer Science, 2019, Colorado State University

Brain-Computer Interfaces (BCIs) are emerging technologies that enable users to interact with computerized devices using only voluntary changes in their mental state. BCIs have a… (more)

Subjects/Keywords: brain-computer interfaces; electroencephalography; artificial neural networks; mental tasks; convolutional neural networks

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

APA (6th Edition):

Forney, E. M. (2019). Convolutional neural networks for EEG signal classification in asynchronous brain-computer interfaces. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/199806

Chicago Manual of Style (16th Edition):

Forney, Elliott M. “Convolutional neural networks for EEG signal classification in asynchronous brain-computer interfaces.” 2019. Doctoral Dissertation, Colorado State University. Accessed March 01, 2021. http://hdl.handle.net/10217/199806.

MLA Handbook (7th Edition):

Forney, Elliott M. “Convolutional neural networks for EEG signal classification in asynchronous brain-computer interfaces.” 2019. Web. 01 Mar 2021.

Vancouver:

Forney EM. Convolutional neural networks for EEG signal classification in asynchronous brain-computer interfaces. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10217/199806.

Council of Science Editors:

Forney EM. Convolutional neural networks for EEG signal classification in asynchronous brain-computer interfaces. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/199806


Universiteit Utrecht

17. Diessen, E.G.A.L. van. Functional brain networks and prediction models in childhood epilepsy.

Degree: 2015, Universiteit Utrecht

 Modern network science revolutionized the field of neuroscience and revealed significant insights into the organization of the brain. Throughout this thesis we applied a network… (more)

Subjects/Keywords: Neurology; Childhood epilepsy; Brain networks; Network analysis; Diagnostic prediction models

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

APA (6th Edition):

Diessen, E. G. A. L. v. (2015). Functional brain networks and prediction models in childhood epilepsy. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/313503

Chicago Manual of Style (16th Edition):

Diessen, E G A L van. “Functional brain networks and prediction models in childhood epilepsy.” 2015. Doctoral Dissertation, Universiteit Utrecht. Accessed March 01, 2021. http://dspace.library.uu.nl:8080/handle/1874/313503.

MLA Handbook (7th Edition):

Diessen, E G A L van. “Functional brain networks and prediction models in childhood epilepsy.” 2015. Web. 01 Mar 2021.

Vancouver:

Diessen EGALv. Functional brain networks and prediction models in childhood epilepsy. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2021 Mar 01]. Available from: http://dspace.library.uu.nl:8080/handle/1874/313503.

Council of Science Editors:

Diessen EGALv. Functional brain networks and prediction models in childhood epilepsy. [Doctoral Dissertation]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/313503


Purdue University

18. Jeong, Jun Young. Analysis of structural and functional brain networks.

Degree: MSECE, Electrical and Computer Engineering, 2016, Purdue University

  The brain is a representative example of a network. It consists of numerous spatially distributed regions that continuously exchange information through structural connections. In… (more)

Subjects/Keywords: Applied sciences; Brain networks; Electrical and Computer Engineering

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APA (6th Edition):

Jeong, J. Y. (2016). Analysis of structural and functional brain networks. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/965

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):

Jeong, Jun Young. “Analysis of structural and functional brain networks.” 2016. Thesis, Purdue University. Accessed March 01, 2021. https://docs.lib.purdue.edu/open_access_theses/965.

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

MLA Handbook (7th Edition):

Jeong, Jun Young. “Analysis of structural and functional brain networks.” 2016. Web. 01 Mar 2021.

Vancouver:

Jeong JY. Analysis of structural and functional brain networks. [Internet] [Thesis]. Purdue University; 2016. [cited 2021 Mar 01]. Available from: https://docs.lib.purdue.edu/open_access_theses/965.

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

Council of Science Editors:

Jeong JY. Analysis of structural and functional brain networks. [Thesis]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_theses/965

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

19. Αντωνόπουλος, Παναγιώτης. Δίκτυα πεποίθησης στην πρόγνωση ασθενών με μεταδιασειστικό σύνδρομο.

Degree: 2012, University of Patras

Καθημερινά στα εξωτερικά ιατρεία των νοσοκομείων μας αντιμετωπίζονται πάρα πολλά περιστατικά ελαφρών κρανιοεγκεφαλικων κακώσεων. Πολλά από αυτά ακολουθούνται από παράπονα για εμφάνιση μετατραυματικων συμπτωμάτων όπως… (more)

Subjects/Keywords: Δίκτυα πεποίθησης; Κρανιοεγκεφαλικές κακώσεις; 617.510 44; Belief networks; Traumatic brain injuries

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

APA (6th Edition):

Αντωνόπουλος, . (2012). Δίκτυα πεποίθησης στην πρόγνωση ασθενών με μεταδιασειστικό σύνδρομο. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/5929

Chicago Manual of Style (16th Edition):

Αντωνόπουλος, Παναγιώτης. “Δίκτυα πεποίθησης στην πρόγνωση ασθενών με μεταδιασειστικό σύνδρομο.” 2012. Masters Thesis, University of Patras. Accessed March 01, 2021. http://hdl.handle.net/10889/5929.

MLA Handbook (7th Edition):

Αντωνόπουλος, Παναγιώτης. “Δίκτυα πεποίθησης στην πρόγνωση ασθενών με μεταδιασειστικό σύνδρομο.” 2012. Web. 01 Mar 2021.

Vancouver:

Αντωνόπουλος . Δίκτυα πεποίθησης στην πρόγνωση ασθενών με μεταδιασειστικό σύνδρομο. [Internet] [Masters thesis]. University of Patras; 2012. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10889/5929.

Council of Science Editors:

Αντωνόπουλος . Δίκτυα πεποίθησης στην πρόγνωση ασθενών με μεταδιασειστικό σύνδρομο. [Masters Thesis]. University of Patras; 2012. Available from: http://hdl.handle.net/10889/5929


University of Michigan

20. Maruyama, Daniel Muenzer. Identifying Spatio-temporal Dynamics in Interacting Brain Networks.

Degree: PhD, Physics, 2015, University of Michigan

 Complex activity patterns in the brain arise from underlying interactions between neurons and astrocytes in the brain. Recent data acquisition has made it possible to… (more)

Subjects/Keywords: Systems neuroscience approach to understanding interactions in brain networks; Physics; Science

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APA (6th Edition):

Maruyama, D. M. (2015). Identifying Spatio-temporal Dynamics in Interacting Brain Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/116750

Chicago Manual of Style (16th Edition):

Maruyama, Daniel Muenzer. “Identifying Spatio-temporal Dynamics in Interacting Brain Networks.” 2015. Doctoral Dissertation, University of Michigan. Accessed March 01, 2021. http://hdl.handle.net/2027.42/116750.

MLA Handbook (7th Edition):

Maruyama, Daniel Muenzer. “Identifying Spatio-temporal Dynamics in Interacting Brain Networks.” 2015. Web. 01 Mar 2021.

Vancouver:

Maruyama DM. Identifying Spatio-temporal Dynamics in Interacting Brain Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2027.42/116750.

Council of Science Editors:

Maruyama DM. Identifying Spatio-temporal Dynamics in Interacting Brain Networks. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/116750


Penn State University

21. 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 March 01, 2021. 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. 01 Mar 2021.

Vancouver:

Nichols TT. Changes in brain networks involved in reward processing during abstinence from cigarettes. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Mar 01]. 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


McMaster University

22. Shaw, Saurabh Bhaskar. A Novel Framework Using Brain Computer Interfacing & EEG Microstates To Characterize Cognitive Functionality.

Degree: MASc, 2016, McMaster University

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)

Subjects/Keywords: Brain Computer Interfacing; Microstates; Resting State Networks; EEG-fMRI; Multimodal

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APA · Chicago · MLA · Vancouver · CSE | 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 March 01, 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. 01 Mar 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 Mar 01]. 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

23. Hall, Alexander William Milne. Development of Emotion Regulation Neural Circuitry: Anatomical Volumes and Functional Connectivity in Middle Childhood.

Degree: MSc, 2014, McMaster University

 Part 1 - Background: Maternal prenatal adversity often results in changes to the hypothalamic- pituitary-adrenal axis (HPA axis) function, such as greater cortisol secretion. Recent… (more)

Subjects/Keywords: fMRI; brain development; cortisol; maternal sensitivity; functional neural networks

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

APA (6th Edition):

Hall, A. W. M. (2014). Development of Emotion Regulation Neural Circuitry: Anatomical Volumes and Functional Connectivity in Middle Childhood. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/16335

Chicago Manual of Style (16th Edition):

Hall, Alexander William Milne. “Development of Emotion Regulation Neural Circuitry: Anatomical Volumes and Functional Connectivity in Middle Childhood.” 2014. Masters Thesis, McMaster University. Accessed March 01, 2021. http://hdl.handle.net/11375/16335.

MLA Handbook (7th Edition):

Hall, Alexander William Milne. “Development of Emotion Regulation Neural Circuitry: Anatomical Volumes and Functional Connectivity in Middle Childhood.” 2014. Web. 01 Mar 2021.

Vancouver:

Hall AWM. Development of Emotion Regulation Neural Circuitry: Anatomical Volumes and Functional Connectivity in Middle Childhood. [Internet] [Masters thesis]. McMaster University; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11375/16335.

Council of Science Editors:

Hall AWM. Development of Emotion Regulation Neural Circuitry: Anatomical Volumes and Functional Connectivity in Middle Childhood. [Masters Thesis]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/16335

24. Drenthen, Gerhard S. Myelin and networks: Magnetic resonance imaging in epilepsy.

Degree: 2020, Gildeprint en Universitaire Pers Maastricht

 Epilepsy is a neurological disorder in which the network of nerve cells in the brain has been altered, and possibly even affected. The white matter… (more)

Subjects/Keywords: epilepsy; myelin; brain networks; MRI

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APA (6th Edition):

Drenthen, G. S. (2020). Myelin and networks: Magnetic resonance imaging in epilepsy. (Doctoral Dissertation). Gildeprint en Universitaire Pers Maastricht. Retrieved from https://cris.maastrichtuniversity.nl/en/publications/c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; urn:nbn:nl:ui:27-c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; 10.26481/dis.20200207gd ; urn:isbn:9789463806916 ; urn:nbn:nl:ui:27-c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; https://cris.maastrichtuniversity.nl/en/publications/c222887e-4806-4be2-9bd9-90ffa5ef6e32

Chicago Manual of Style (16th Edition):

Drenthen, Gerhard S. “Myelin and networks: Magnetic resonance imaging in epilepsy.” 2020. Doctoral Dissertation, Gildeprint en Universitaire Pers Maastricht. Accessed March 01, 2021. https://cris.maastrichtuniversity.nl/en/publications/c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; urn:nbn:nl:ui:27-c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; 10.26481/dis.20200207gd ; urn:isbn:9789463806916 ; urn:nbn:nl:ui:27-c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; https://cris.maastrichtuniversity.nl/en/publications/c222887e-4806-4be2-9bd9-90ffa5ef6e32.

MLA Handbook (7th Edition):

Drenthen, Gerhard S. “Myelin and networks: Magnetic resonance imaging in epilepsy.” 2020. Web. 01 Mar 2021.

Vancouver:

Drenthen GS. Myelin and networks: Magnetic resonance imaging in epilepsy. [Internet] [Doctoral dissertation]. Gildeprint en Universitaire Pers Maastricht; 2020. [cited 2021 Mar 01]. Available from: https://cris.maastrichtuniversity.nl/en/publications/c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; urn:nbn:nl:ui:27-c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; 10.26481/dis.20200207gd ; urn:isbn:9789463806916 ; urn:nbn:nl:ui:27-c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; https://cris.maastrichtuniversity.nl/en/publications/c222887e-4806-4be2-9bd9-90ffa5ef6e32.

Council of Science Editors:

Drenthen GS. Myelin and networks: Magnetic resonance imaging in epilepsy. [Doctoral Dissertation]. Gildeprint en Universitaire Pers Maastricht; 2020. Available from: https://cris.maastrichtuniversity.nl/en/publications/c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; urn:nbn:nl:ui:27-c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; 10.26481/dis.20200207gd ; urn:isbn:9789463806916 ; urn:nbn:nl:ui:27-c222887e-4806-4be2-9bd9-90ffa5ef6e32 ; https://cris.maastrichtuniversity.nl/en/publications/c222887e-4806-4be2-9bd9-90ffa5ef6e32


Harvard University

25. Krienen, Fenna Marie. Large-Scale Networks in the Human Brain revealed by Functional Connectivity MRI.

Degree: PhD, Psychology, 2013, Harvard University

The human brain is composed of distributed networks that connect a disproportionately large neocortex to the brainstem, cerebellum and other subcortical structures. New methods for… (more)

Subjects/Keywords: Neurosciences; Psychobiology; brain; cerebral cortex; connectivity; human; networks; neuroimaging

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APA (6th Edition):

Krienen, F. M. (2013). Large-Scale Networks in the Human Brain revealed by Functional Connectivity MRI. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181144

Chicago Manual of Style (16th Edition):

Krienen, Fenna Marie. “Large-Scale Networks in the Human Brain revealed by Functional Connectivity MRI.” 2013. Doctoral Dissertation, Harvard University. Accessed March 01, 2021. http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181144.

MLA Handbook (7th Edition):

Krienen, Fenna Marie. “Large-Scale Networks in the Human Brain revealed by Functional Connectivity MRI.” 2013. Web. 01 Mar 2021.

Vancouver:

Krienen FM. Large-Scale Networks in the Human Brain revealed by Functional Connectivity MRI. [Internet] [Doctoral dissertation]. Harvard University; 2013. [cited 2021 Mar 01]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181144.

Council of Science Editors:

Krienen FM. Large-Scale Networks in the Human Brain revealed by Functional Connectivity MRI. [Doctoral Dissertation]. Harvard University; 2013. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181144


Vrije Universiteit Amsterdam

26. Baldewpersad Tewarie, P.K. Functional brain networks in multiple slerosis: linking structural pathology to clinical disability .

Degree: 2014, Vrije Universiteit Amsterdam

Subjects/Keywords: functional brain networks; multiple sclerosis

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APA (6th Edition):

Baldewpersad Tewarie, P. K. (2014). Functional brain networks in multiple slerosis: linking structural pathology to clinical disability . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/52104

Chicago Manual of Style (16th Edition):

Baldewpersad Tewarie, P K. “Functional brain networks in multiple slerosis: linking structural pathology to clinical disability .” 2014. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed March 01, 2021. http://hdl.handle.net/1871/52104.

MLA Handbook (7th Edition):

Baldewpersad Tewarie, P K. “Functional brain networks in multiple slerosis: linking structural pathology to clinical disability .” 2014. Web. 01 Mar 2021.

Vancouver:

Baldewpersad Tewarie PK. Functional brain networks in multiple slerosis: linking structural pathology to clinical disability . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1871/52104.

Council of Science Editors:

Baldewpersad Tewarie PK. Functional brain networks in multiple slerosis: linking structural pathology to clinical disability . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2014. Available from: http://hdl.handle.net/1871/52104


Deakin University

27. CORP, DANIEL THOMAS. The Effect of dual-tasking on motor cortex activity.

Degree: School of Psychology, 2016, Deakin University

 This thesis demonstrated that when participants performed two tasks concurrently, the activity of inhibitory neurons in the brain was increased in younger adults, yet decreased… (more)

Subjects/Keywords: Dual tasking; Neuropsychology; Neural Networks; Psychology; Brain activity

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APA (6th Edition):

CORP, D. T. (2016). The Effect of dual-tasking on motor cortex activity. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30088942

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):

CORP, DANIEL THOMAS. “The Effect of dual-tasking on motor cortex activity.” 2016. Thesis, Deakin University. Accessed March 01, 2021. http://hdl.handle.net/10536/DRO/DU:30088942.

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

MLA Handbook (7th Edition):

CORP, DANIEL THOMAS. “The Effect of dual-tasking on motor cortex activity.” 2016. Web. 01 Mar 2021.

Vancouver:

CORP DT. The Effect of dual-tasking on motor cortex activity. [Internet] [Thesis]. Deakin University; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10536/DRO/DU:30088942.

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

Council of Science Editors:

CORP DT. The Effect of dual-tasking on motor cortex activity. [Thesis]. Deakin University; 2016. Available from: http://hdl.handle.net/10536/DRO/DU:30088942

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


University of Dundee

28. Maxwell, Adele. A functional imaging study of the relationship between the Default Mode Network and other control networks in the human brain.

Degree: PhD, 2013, University of Dundee

 The Default Mode Network (DMN) is a large-scale brain network implicated in the control and monitoring of internal modes of cognition. The aim of this… (more)

Subjects/Keywords: 150; Brain; Default Network; Control Networks; Functional Imaging; fMRI; EEG

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APA (6th Edition):

Maxwell, A. (2013). A functional imaging study of the relationship between the Default Mode Network and other control networks in the human brain. (Doctoral Dissertation). University of Dundee. Retrieved from https://discovery.dundee.ac.uk/en/studentTheses/d1b48289-9bd5-484a-9c3e-61e13704405d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600744

Chicago Manual of Style (16th Edition):

Maxwell, Adele. “A functional imaging study of the relationship between the Default Mode Network and other control networks in the human brain.” 2013. Doctoral Dissertation, University of Dundee. Accessed March 01, 2021. https://discovery.dundee.ac.uk/en/studentTheses/d1b48289-9bd5-484a-9c3e-61e13704405d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600744.

MLA Handbook (7th Edition):

Maxwell, Adele. “A functional imaging study of the relationship between the Default Mode Network and other control networks in the human brain.” 2013. Web. 01 Mar 2021.

Vancouver:

Maxwell A. A functional imaging study of the relationship between the Default Mode Network and other control networks in the human brain. [Internet] [Doctoral dissertation]. University of Dundee; 2013. [cited 2021 Mar 01]. Available from: https://discovery.dundee.ac.uk/en/studentTheses/d1b48289-9bd5-484a-9c3e-61e13704405d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600744.

Council of Science Editors:

Maxwell A. A functional imaging study of the relationship between the Default Mode Network and other control networks in the human brain. [Doctoral Dissertation]. University of Dundee; 2013. Available from: https://discovery.dundee.ac.uk/en/studentTheses/d1b48289-9bd5-484a-9c3e-61e13704405d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600744


Florida International University

29. Sargolzaei, Saman. Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks.

Degree: PhD, Electrical Engineering, 2015, Florida International University

  Understanding pathways of neurological disorders requires extensive research on both functional and structural characteristics of the brain. This dissertation introduced two interrelated research endeavors,… (more)

Subjects/Keywords: Alzheimer's disease; Pediatric Epilepsy; Brain Connectivity Networks; Biomedical; Neuroscience and Neurobiology

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

APA (6th Edition):

Sargolzaei, S. (2015). Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/1915 ; 10.25148/etd.FI15032115 ; FI15032115

Chicago Manual of Style (16th Edition):

Sargolzaei, Saman. “Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks.” 2015. Doctoral Dissertation, Florida International University. Accessed March 01, 2021. https://digitalcommons.fiu.edu/etd/1915 ; 10.25148/etd.FI15032115 ; FI15032115.

MLA Handbook (7th Edition):

Sargolzaei, Saman. “Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks.” 2015. Web. 01 Mar 2021.

Vancouver:

Sargolzaei S. Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2021 Mar 01]. Available from: https://digitalcommons.fiu.edu/etd/1915 ; 10.25148/etd.FI15032115 ; FI15032115.

Council of Science Editors:

Sargolzaei S. Intracranial Volume Estimation and Graph Theoretical Analysis of Brain Functional Connectivity Networks. [Doctoral Dissertation]. Florida International University; 2015. Available from: https://digitalcommons.fiu.edu/etd/1915 ; 10.25148/etd.FI15032115 ; FI15032115


Tampere University

30. Gong, Jin. White Matter Hyperintensity and Multi-region Brain MRI Segmentation Using Convolutional Neural Network .

Degree: 2020, Tampere University

 Accurate segmentation of WMH (white matter hyperintensity) from the magnetic resonance image is a prerequisite for many precise medical procedures, especially for the diagnosis of… (more)

Subjects/Keywords: 3D Image Segmentation ; Magnetic Resonance Imaging ; Brain Regions ; Convolutional Neural Networks

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

APA (6th Edition):

Gong, J. (2020). White Matter Hyperintensity and Multi-region Brain MRI Segmentation Using Convolutional Neural Network . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/121034

Chicago Manual of Style (16th Edition):

Gong, Jin. “White Matter Hyperintensity and Multi-region Brain MRI Segmentation Using Convolutional Neural Network .” 2020. Masters Thesis, Tampere University. Accessed March 01, 2021. https://trepo.tuni.fi/handle/10024/121034.

MLA Handbook (7th Edition):

Gong, Jin. “White Matter Hyperintensity and Multi-region Brain MRI Segmentation Using Convolutional Neural Network .” 2020. Web. 01 Mar 2021.

Vancouver:

Gong J. White Matter Hyperintensity and Multi-region Brain MRI Segmentation Using Convolutional Neural Network . [Internet] [Masters thesis]. Tampere University; 2020. [cited 2021 Mar 01]. Available from: https://trepo.tuni.fi/handle/10024/121034.

Council of Science Editors:

Gong J. White Matter Hyperintensity and Multi-region Brain MRI Segmentation Using Convolutional Neural Network . [Masters Thesis]. Tampere University; 2020. Available from: https://trepo.tuni.fi/handle/10024/121034

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