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You searched for subject:(Brain networks). Showing records 1 – 30 of 179 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Paolini BM. Self-Regulatory Brain Networks of Eating Behavior. [Internet] [Thesis]. Wake Forest University; 2015. [cited 2020 Jan 22]. 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://etd.library.vanderbilt.edu/available/etd-11212018-085709/ ;

Chicago Manual of Style (16th Edition):

Bailey, Stephen Kent. “Attributes of functional network architecture supporting skilled reading.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed January 22, 2020. http://etd.library.vanderbilt.edu/available/etd-11212018-085709/ ;.

MLA Handbook (7th Edition):

Bailey, Stephen Kent. “Attributes of functional network architecture supporting skilled reading.” 2018. Web. 22 Jan 2020.

Vancouver:

Bailey SK. Attributes of functional network architecture supporting skilled reading. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2020 Jan 22]. Available from: http://etd.library.vanderbilt.edu/available/etd-11212018-085709/ ;.

Council of Science Editors:

Bailey SK. Attributes of functional network architecture supporting skilled reading. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-11212018-085709/ ;


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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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


Washington University in St. Louis

4. 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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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


Columbia University

5. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Russo AA. Neural Dynamics and the Geometry of Population Activity. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2020 Jan 22]. 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


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 January 22, 2020. http://hdl.handle.net/11343/56407.

MLA Handbook (7th Edition):

RAYNER, GENEVIEVE. “Neurocognitive and psychiatric markers of network disease in epilepsy.” 2015. Web. 22 Jan 2020.

Vancouver:

RAYNER G. Neurocognitive and psychiatric markers of network disease in epilepsy. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2020 Jan 22]. 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

7. 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 January 22, 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. 22 Jan 2020.

Vancouver:

Amico E. Methods and models for brain connectivity assessment across levels of consciousness. [Internet] [Thesis]. Ghent University; 2016. [cited 2020 Jan 22]. 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

8. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Rathee D. Advancing computational analysis and modelling of EEG/MEG data. [Internet] [Doctoral dissertation]. Ulster University; 2019. [cited 2020 Jan 22]. 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

9. 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 January 22, 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. 22 Jan 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 Jan 22]. 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


University of Oxford

10. 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: 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 January 22, 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. 22 Jan 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 Jan 22]. 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

11. 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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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


McMaster University

12. 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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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


Colorado State University

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

Degree: PhD, Computer Science, 2020, 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 (6th Edition):

Forney, E. M. (2020). 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.” 2020. Doctoral Dissertation, Colorado State University. Accessed January 22, 2020. 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.” 2020. Web. 22 Jan 2020.

Vancouver:

Forney EM. Convolutional neural networks for EEG signal classification in asynchronous brain-computer interfaces. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2020 Jan 22]. 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; 2020. Available from: http://hdl.handle.net/10217/199806


University of Dundee

14. 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: 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 http://hdl.handle.net/10588/d1b48289-9bd5-484a-9c3e-61e13704405d

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 January 22, 2020. http://hdl.handle.net/10588/d1b48289-9bd5-484a-9c3e-61e13704405d.

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. 22 Jan 2020.

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 2020 Jan 22]. Available from: http://hdl.handle.net/10588/d1b48289-9bd5-484a-9c3e-61e13704405d.

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: http://hdl.handle.net/10588/d1b48289-9bd5-484a-9c3e-61e13704405d


Texas A&M University

15. D'Souza, Aswin Cletus. Automated counting of cell bodies using Nissl stained cross-sectional images.

Degree: 2009, Texas A&M University

 Cell count is an important metric in neurological research. The loss in numbers of certain cells like neurons has been found to accompany not only… (more)

Subjects/Keywords: Brain Networks Laboratory; Image Processing; Medical Imaging; 3D Visualization

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APA (6th Edition):

D'Souza, A. C. (2009). Automated counting of cell bodies using Nissl stained cross-sectional images. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2035

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):

D'Souza, Aswin Cletus. “Automated counting of cell bodies using Nissl stained cross-sectional images.” 2009. Thesis, Texas A&M University. Accessed January 22, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2035.

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

MLA Handbook (7th Edition):

D'Souza, Aswin Cletus. “Automated counting of cell bodies using Nissl stained cross-sectional images.” 2009. Web. 22 Jan 2020.

Vancouver:

D'Souza AC. Automated counting of cell bodies using Nissl stained cross-sectional images. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2035.

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

Council of Science Editors:

D'Souza AC. Automated counting of cell bodies using Nissl stained cross-sectional images. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2035

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


Purdue University

16. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Jeong JY. Analysis of structural and functional brain networks. [Internet] [Thesis]. Purdue University; 2016. [cited 2020 Jan 22]. 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

17. 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 (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 January 22, 2020. http://hdl.handle.net/10889/5929.

MLA Handbook (7th Edition):

Αντωνόπουλος, Παναγιώτης. “Δίκτυα πεποίθησης στην πρόγνωση ασθενών με μεταδιασειστικό σύνδρομο.” 2012. Web. 22 Jan 2020.

Vancouver:

Αντωνόπουλος . Δίκτυα πεποίθησης στην πρόγνωση ασθενών με μεταδιασειστικό σύνδρομο. [Internet] [Masters thesis]. University of Patras; 2012. [cited 2020 Jan 22]. 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 Illinois – Urbana-Champaign

18. Osuagwu, Onyeama E. Brain-machine interface coupled cognitive sensory fusion with a Kohonen and reservoir computing scheme.

Degree: PhD, Electrical & Computer Engineering, 2015, University of Illinois – Urbana-Champaign

 Artificial Intelligence (AI) has been a source of great intrigue and has spawned many questions regarding the human condition and the core of what it… (more)

Subjects/Keywords: Artificial Intelligence; Robotics; Neural Networks; Natural Language Acquisition; Brain-Machine Interface

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APA (6th Edition):

Osuagwu, O. E. (2015). Brain-machine interface coupled cognitive sensory fusion with a Kohonen and reservoir computing scheme. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/89230

Chicago Manual of Style (16th Edition):

Osuagwu, Onyeama E. “Brain-machine interface coupled cognitive sensory fusion with a Kohonen and reservoir computing scheme.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed January 22, 2020. http://hdl.handle.net/2142/89230.

MLA Handbook (7th Edition):

Osuagwu, Onyeama E. “Brain-machine interface coupled cognitive sensory fusion with a Kohonen and reservoir computing scheme.” 2015. Web. 22 Jan 2020.

Vancouver:

Osuagwu OE. Brain-machine interface coupled cognitive sensory fusion with a Kohonen and reservoir computing scheme. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/2142/89230.

Council of Science Editors:

Osuagwu OE. Brain-machine interface coupled cognitive sensory fusion with a Kohonen and reservoir computing scheme. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/89230


University of Pennsylvania

19. Duda, Jeffrey T. Characterizing Connectivity in Brain Networks Using Magnetic Resonance Imaging.

Degree: 2010, University of Pennsylvania

 The human brain is a system of neurons that provides great computational capacity via a complicated communication network. A complete description of this network, also… (more)

Subjects/Keywords: brain connectivity networks MRI; Bioimaging and Biomedical Optics

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APA (6th Edition):

Duda, J. T. (2010). Characterizing Connectivity in Brain Networks Using Magnetic Resonance Imaging. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/191

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):

Duda, Jeffrey T. “Characterizing Connectivity in Brain Networks Using Magnetic Resonance Imaging.” 2010. Thesis, University of Pennsylvania. Accessed January 22, 2020. https://repository.upenn.edu/edissertations/191.

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

MLA Handbook (7th Edition):

Duda, Jeffrey T. “Characterizing Connectivity in Brain Networks Using Magnetic Resonance Imaging.” 2010. Web. 22 Jan 2020.

Vancouver:

Duda JT. Characterizing Connectivity in Brain Networks Using Magnetic Resonance Imaging. [Internet] [Thesis]. University of Pennsylvania; 2010. [cited 2020 Jan 22]. Available from: https://repository.upenn.edu/edissertations/191.

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

Council of Science Editors:

Duda JT. Characterizing Connectivity in Brain Networks Using Magnetic Resonance Imaging. [Thesis]. University of Pennsylvania; 2010. Available from: https://repository.upenn.edu/edissertations/191

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


Universiteit Utrecht

20. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Diessen EGALv. Functional brain networks and prediction models in childhood epilepsy. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2020 Jan 22]. 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


Harvard University

21. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Krienen FM. Large-Scale Networks in the Human Brain revealed by Functional Connectivity MRI. [Internet] [Doctoral dissertation]. Harvard University; 2013. [cited 2020 Jan 22]. 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


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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Shaw SB. A Novel Framework Using Brain Computer Interfacing & EEG Microstates To Characterize Cognitive Functionality. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2020 Jan 22]. 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


Université Catholique de Louvain

23. Chiêm, Benjamin. Brain networks : classification and controllability.

Degree: 2017, Université Catholique de Louvain

The human brain is one of the most complex and fascinating objects we could imagine. Composed of a large number of interconnected neural regions, its… (more)

Subjects/Keywords: Machine learning; Classification; Graph kernel; Connectomics; Controllability; Brain networks; Graph theory

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APA (6th Edition):

Chiêm, B. (2017). Brain networks : classification and controllability. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:10651

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):

Chiêm, Benjamin. “Brain networks : classification and controllability.” 2017. Thesis, Université Catholique de Louvain. Accessed January 22, 2020. http://hdl.handle.net/2078.1/thesis:10651.

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

MLA Handbook (7th Edition):

Chiêm, Benjamin. “Brain networks : classification and controllability.” 2017. Web. 22 Jan 2020.

Vancouver:

Chiêm B. Brain networks : classification and controllability. [Internet] [Thesis]. Université Catholique de Louvain; 2017. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/2078.1/thesis:10651.

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

Council of Science Editors:

Chiêm B. Brain networks : classification and controllability. [Thesis]. Université Catholique de Louvain; 2017. Available from: http://hdl.handle.net/2078.1/thesis:10651

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


Deakin University

24. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

CORP DT. The Effect of dual-tasking on motor cortex activity. [Internet] [Thesis]. Deakin University; 2016. [cited 2020 Jan 22]. 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 Melbourne

25. Richmond, Sally. The effects of family environments on structural covariance of cortical networks in late childhood.

Degree: 2017, University of Melbourne

 The impact of adversity on brain development is well established, however relatively little attention has been directed toward the neurobiological effects of normative variation in… (more)

Subjects/Keywords: structural brain networks; observed parenting behaviours; graph theoy

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APA (6th Edition):

Richmond, S. (2017). The effects of family environments on structural covariance of cortical networks in late childhood. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/194546

Chicago Manual of Style (16th Edition):

Richmond, Sally. “The effects of family environments on structural covariance of cortical networks in late childhood.” 2017. Doctoral Dissertation, University of Melbourne. Accessed January 22, 2020. http://hdl.handle.net/11343/194546.

MLA Handbook (7th Edition):

Richmond, Sally. “The effects of family environments on structural covariance of cortical networks in late childhood.” 2017. Web. 22 Jan 2020.

Vancouver:

Richmond S. The effects of family environments on structural covariance of cortical networks in late childhood. [Internet] [Doctoral dissertation]. University of Melbourne; 2017. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/11343/194546.

Council of Science Editors:

Richmond S. The effects of family environments on structural covariance of cortical networks in late childhood. [Doctoral Dissertation]. University of Melbourne; 2017. Available from: http://hdl.handle.net/11343/194546


University of Dundee

26. 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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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

27. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Hall AWM. Development of Emotion Regulation Neural Circuitry: Anatomical Volumes and Functional Connectivity in Middle Childhood. [Internet] [Masters thesis]. McMaster University; 2014. [cited 2020 Jan 22]. 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


Vrije Universiteit Amsterdam

28. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Baldewpersad Tewarie PK. Functional brain networks in multiple slerosis: linking structural pathology to clinical disability . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2014. [cited 2020 Jan 22]. 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


University of Aberdeen

29. Stringer, Michael S. Functional connectivity approaches to focal neurological conditions.

Degree: PhD, 2016, University of Aberdeen

 A wide range of conditions are characterised by focal neurological symptoms, yet the pathophysiolgy often remains poorly understood. This thesis has focussed on applying functional… (more)

Subjects/Keywords: 612.8; Neural networks (Neurobiology); Neural transmission; Tomography; Emission; Brain; Consciousness

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APA (6th Edition):

Stringer, M. S. (2016). Functional connectivity approaches to focal neurological conditions. (Doctoral Dissertation). University of Aberdeen. Retrieved from http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=231782 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715441

Chicago Manual of Style (16th Edition):

Stringer, Michael S. “Functional connectivity approaches to focal neurological conditions.” 2016. Doctoral Dissertation, University of Aberdeen. Accessed January 22, 2020. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=231782 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715441.

MLA Handbook (7th Edition):

Stringer, Michael S. “Functional connectivity approaches to focal neurological conditions.” 2016. Web. 22 Jan 2020.

Vancouver:

Stringer MS. Functional connectivity approaches to focal neurological conditions. [Internet] [Doctoral dissertation]. University of Aberdeen; 2016. [cited 2020 Jan 22]. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=231782 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715441.

Council of Science Editors:

Stringer MS. Functional connectivity approaches to focal neurological conditions. [Doctoral Dissertation]. University of Aberdeen; 2016. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=231782 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715441


University of New South Wales

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

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 January 22, 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. 22 Jan 2020.

Vancouver:

Perry A. Brain networks in healthy ageing and psychiatric conditions. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Jan 22]. 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

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