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You searched for subject:(Functional Connectivity). Showing records 1 – 30 of 388 total matches.

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1. Ard, Tyler. Large-Scale Cortical Electromagnetic Functional Connectivity during Audiovisual Processing.

Degree: PhD, Neuroscience, 2014, Brown University

 Auditory and visual information interact in the brain to produce a wide variety of behavioral and cognitive phenomena, however much is unknown about the mechanisms… (more)

Subjects/Keywords: functional connectivity

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APA (6th Edition):

Ard, T. (2014). Large-Scale Cortical Electromagnetic Functional Connectivity during Audiovisual Processing. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386160/

Chicago Manual of Style (16th Edition):

Ard, Tyler. “Large-Scale Cortical Electromagnetic Functional Connectivity during Audiovisual Processing.” 2014. Doctoral Dissertation, Brown University. Accessed March 31, 2020. https://repository.library.brown.edu/studio/item/bdr:386160/.

MLA Handbook (7th Edition):

Ard, Tyler. “Large-Scale Cortical Electromagnetic Functional Connectivity during Audiovisual Processing.” 2014. Web. 31 Mar 2020.

Vancouver:

Ard T. Large-Scale Cortical Electromagnetic Functional Connectivity during Audiovisual Processing. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Mar 31]. Available from: https://repository.library.brown.edu/studio/item/bdr:386160/.

Council of Science Editors:

Ard T. Large-Scale Cortical Electromagnetic Functional Connectivity during Audiovisual Processing. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386160/

2. Fiecas, Mark Joseph A. Statistical Methods for the Analysis of Functional Connectivity of Brain Signals.

Degree: PhD, Biostatistics, 2012, Brown University

 In this dissertation we investigated and proposed tools for the analysis of functional connectivity of brain signals. We first investigated the test-retest reliability of current… (more)

Subjects/Keywords: Functional connectivity

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APA (6th Edition):

Fiecas, M. J. A. (2012). Statistical Methods for the Analysis of Functional Connectivity of Brain Signals. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297535/

Chicago Manual of Style (16th Edition):

Fiecas, Mark Joseph A. “Statistical Methods for the Analysis of Functional Connectivity of Brain Signals.” 2012. Doctoral Dissertation, Brown University. Accessed March 31, 2020. https://repository.library.brown.edu/studio/item/bdr:297535/.

MLA Handbook (7th Edition):

Fiecas, Mark Joseph A. “Statistical Methods for the Analysis of Functional Connectivity of Brain Signals.” 2012. Web. 31 Mar 2020.

Vancouver:

Fiecas MJA. Statistical Methods for the Analysis of Functional Connectivity of Brain Signals. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Mar 31]. Available from: https://repository.library.brown.edu/studio/item/bdr:297535/.

Council of Science Editors:

Fiecas MJA. Statistical Methods for the Analysis of Functional Connectivity of Brain Signals. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297535/


University of Southern California

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

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

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

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

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APA (6th Edition):

Aydore, S. (2015). Measuring functional connectivity of the brain. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468390/rec/3989

Chicago Manual of Style (16th Edition):

Aydore, Sergul. “Measuring functional connectivity of the brain.” 2015. Doctoral Dissertation, University of Southern California. Accessed March 31, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468390/rec/3989.

MLA Handbook (7th Edition):

Aydore, Sergul. “Measuring functional connectivity of the brain.” 2015. Web. 31 Mar 2020.

Vancouver:

Aydore S. Measuring functional connectivity of the brain. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Mar 31]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468390/rec/3989.

Council of Science Editors:

Aydore S. Measuring functional connectivity of the brain. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468390/rec/3989


Washington University in St. Louis

4. Ramsey, Lenny Eveline. Behavioral and Neurophysiological Mechanisms of Recovery Post-Stroke.

Degree: PhD, Biology & Biomedical Sciences (Neurosciences), 2016, Washington University in St. Louis

  Strokes can affect very different behavioral domains causing deficits in language, memory, visual attention and movement. This range of deficits is caused by stroke… (more)

Subjects/Keywords: fMRI; functional connectivity; Stroke

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APA (6th Edition):

Ramsey, L. E. (2016). Behavioral and Neurophysiological Mechanisms of Recovery Post-Stroke. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/art_sci_etds/886

Chicago Manual of Style (16th Edition):

Ramsey, Lenny Eveline. “Behavioral and Neurophysiological Mechanisms of Recovery Post-Stroke.” 2016. Doctoral Dissertation, Washington University in St. Louis. Accessed March 31, 2020. https://openscholarship.wustl.edu/art_sci_etds/886.

MLA Handbook (7th Edition):

Ramsey, Lenny Eveline. “Behavioral and Neurophysiological Mechanisms of Recovery Post-Stroke.” 2016. Web. 31 Mar 2020.

Vancouver:

Ramsey LE. Behavioral and Neurophysiological Mechanisms of Recovery Post-Stroke. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2016. [cited 2020 Mar 31]. Available from: https://openscholarship.wustl.edu/art_sci_etds/886.

Council of Science Editors:

Ramsey LE. Behavioral and Neurophysiological Mechanisms of Recovery Post-Stroke. [Doctoral Dissertation]. Washington University in St. Louis; 2016. Available from: https://openscholarship.wustl.edu/art_sci_etds/886


Vanderbilt University

5. Wu, Tung-Lin. Studies of Functional Connectivity in White Matter.

Degree: MS, Biomedical Engineering, 2016, Vanderbilt University

 Resting state functional magnetic resonance imaging (rsfMRI) has been widely used for measuring functional connectivity between cortical regions. However, there have been minimal reports of… (more)

Subjects/Keywords: fMRI; white matter; functional connectivity

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APA (6th Edition):

Wu, T. (2016). Studies of Functional Connectivity in White Matter. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03222016-213015/ ;

Chicago Manual of Style (16th Edition):

Wu, Tung-Lin. “Studies of Functional Connectivity in White Matter.” 2016. Masters Thesis, Vanderbilt University. Accessed March 31, 2020. http://etd.library.vanderbilt.edu/available/etd-03222016-213015/ ;.

MLA Handbook (7th Edition):

Wu, Tung-Lin. “Studies of Functional Connectivity in White Matter.” 2016. Web. 31 Mar 2020.

Vancouver:

Wu T. Studies of Functional Connectivity in White Matter. [Internet] [Masters thesis]. Vanderbilt University; 2016. [cited 2020 Mar 31]. Available from: http://etd.library.vanderbilt.edu/available/etd-03222016-213015/ ;.

Council of Science Editors:

Wu T. Studies of Functional Connectivity in White Matter. [Masters Thesis]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-03222016-213015/ ;


University of Illinois – Chicago

6. Ming, Jing. Integrated Classification of Amnestic Mild Cognitive Impairment Using Functional and Structural MRI.

Degree: 2013, University of Illinois – Chicago

 As a prodromal phase of Alzheimer Disease (AD), amnestic Mild Cognitive Impairment (aMCI) may be the appropriate stage for clinical trials of early therapeutic intervention… (more)

Subjects/Keywords: aMCI; fMRI; classification; functional connectivity

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APA (6th Edition):

Ming, J. (2013). Integrated Classification of Amnestic Mild Cognitive Impairment Using Functional and Structural MRI. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/10378

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):

Ming, Jing. “Integrated Classification of Amnestic Mild Cognitive Impairment Using Functional and Structural MRI.” 2013. Thesis, University of Illinois – Chicago. Accessed March 31, 2020. http://hdl.handle.net/10027/10378.

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

MLA Handbook (7th Edition):

Ming, Jing. “Integrated Classification of Amnestic Mild Cognitive Impairment Using Functional and Structural MRI.” 2013. Web. 31 Mar 2020.

Vancouver:

Ming J. Integrated Classification of Amnestic Mild Cognitive Impairment Using Functional and Structural MRI. [Internet] [Thesis]. University of Illinois – Chicago; 2013. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/10027/10378.

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

Council of Science Editors:

Ming J. Integrated Classification of Amnestic Mild Cognitive Impairment Using Functional and Structural MRI. [Thesis]. University of Illinois – Chicago; 2013. Available from: http://hdl.handle.net/10027/10378

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


University of Houston

7. -4062-2982. Mild Traumatic Brain Injury Assessment using Functional Connectivity Estimators on Resting State EEG Analysis.

Degree: MS, Engineering Technology, 2019, University of Houston

 In the US, over 2 million people su er from mild traumatic brain injury (mTBI), however in some cases it goes undiagnosed due to lack… (more)

Subjects/Keywords: EEG; MTBI; Functional Connectivity; PLV

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APA (6th Edition):

-4062-2982. (2019). Mild Traumatic Brain Injury Assessment using Functional Connectivity Estimators on Resting State EEG Analysis. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/4893

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-4062-2982. “Mild Traumatic Brain Injury Assessment using Functional Connectivity Estimators on Resting State EEG Analysis.” 2019. Masters Thesis, University of Houston. Accessed March 31, 2020. http://hdl.handle.net/10657/4893.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-4062-2982. “Mild Traumatic Brain Injury Assessment using Functional Connectivity Estimators on Resting State EEG Analysis.” 2019. Web. 31 Mar 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-4062-2982. Mild Traumatic Brain Injury Assessment using Functional Connectivity Estimators on Resting State EEG Analysis. [Internet] [Masters thesis]. University of Houston; 2019. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/10657/4893.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-4062-2982. Mild Traumatic Brain Injury Assessment using Functional Connectivity Estimators on Resting State EEG Analysis. [Masters Thesis]. University of Houston; 2019. Available from: http://hdl.handle.net/10657/4893

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Sydney

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

Degree: 2018, University of Sydney

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Pandejee, Grishma Riken. “Prediction and Analysis of Connectivity in the Brain .” 2018. Thesis, University of Sydney. Accessed March 31, 2020. http://hdl.handle.net/2123/18179.

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

MLA Handbook (7th Edition):

Pandejee, Grishma Riken. “Prediction and Analysis of Connectivity in the Brain .” 2018. Web. 31 Mar 2020.

Vancouver:

Pandejee GR. Prediction and Analysis of Connectivity in the Brain . [Internet] [Thesis]. University of Sydney; 2018. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/2123/18179.

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

Council of Science Editors:

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

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


University of Utah

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Liu, Wei. “Resting state functional magnetic resonance imaging analysis by graphical model.” 2014. Doctoral Dissertation, University of Utah. Accessed March 31, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102.

MLA Handbook (7th Edition):

Liu, Wei. “Resting state functional magnetic resonance imaging analysis by graphical model.” 2014. Web. 31 Mar 2020.

Vancouver:

Liu W. Resting state functional magnetic resonance imaging analysis by graphical model. [Internet] [Doctoral dissertation]. University of Utah; 2014. [cited 2020 Mar 31]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3112/rec/2102.

Council of Science Editors:

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


Dalhousie University

10. Bishop, Ronald. Exploring the Sensorimotor Network Using Functional Connectivity and Graph Theory.

Degree: MS, School of Physiotherapy, 2014, Dalhousie University

 Background: Performing a motor task activates the sensorimotor network. Functional connectivity (FC) analysis can determine connections between distinct neural regions of a network. Graph theory… (more)

Subjects/Keywords: magnetoencephalography; functional connectivity; visuomotor; graph theory

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APA (6th Edition):

Bishop, R. (2014). Exploring the Sensorimotor Network Using Functional Connectivity and Graph Theory. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/54014

Chicago Manual of Style (16th Edition):

Bishop, Ronald. “Exploring the Sensorimotor Network Using Functional Connectivity and Graph Theory.” 2014. Masters Thesis, Dalhousie University. Accessed March 31, 2020. http://hdl.handle.net/10222/54014.

MLA Handbook (7th Edition):

Bishop, Ronald. “Exploring the Sensorimotor Network Using Functional Connectivity and Graph Theory.” 2014. Web. 31 Mar 2020.

Vancouver:

Bishop R. Exploring the Sensorimotor Network Using Functional Connectivity and Graph Theory. [Internet] [Masters thesis]. Dalhousie University; 2014. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/10222/54014.

Council of Science Editors:

Bishop R. Exploring the Sensorimotor Network Using Functional Connectivity and Graph Theory. [Masters Thesis]. Dalhousie University; 2014. Available from: http://hdl.handle.net/10222/54014


Penn State University

11. Medaglia, John Dominic. THE CONTRIBUTION OF THE CEREBELLUM TO COGNITION:.

Degree: MS, Psychology, 2011, Penn State University

 Two decades of research support the notion that the cerebellum contributes to cognitive processes such as executive functions and working memory in addition to motor… (more)

Subjects/Keywords: functional connectivity; fMRI; cerebellum; working memory

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APA (6th Edition):

Medaglia, J. D. (2011). THE CONTRIBUTION OF THE CEREBELLUM TO COGNITION:. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11836

Chicago Manual of Style (16th Edition):

Medaglia, John Dominic. “THE CONTRIBUTION OF THE CEREBELLUM TO COGNITION:.” 2011. Masters Thesis, Penn State University. Accessed March 31, 2020. https://etda.libraries.psu.edu/catalog/11836.

MLA Handbook (7th Edition):

Medaglia, John Dominic. “THE CONTRIBUTION OF THE CEREBELLUM TO COGNITION:.” 2011. Web. 31 Mar 2020.

Vancouver:

Medaglia JD. THE CONTRIBUTION OF THE CEREBELLUM TO COGNITION:. [Internet] [Masters thesis]. Penn State University; 2011. [cited 2020 Mar 31]. Available from: https://etda.libraries.psu.edu/catalog/11836.

Council of Science Editors:

Medaglia JD. THE CONTRIBUTION OF THE CEREBELLUM TO COGNITION:. [Masters Thesis]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/11836


University of California – Berkeley

12. Gratton, Caterina. Attention and Disruption: Modulating the Interactions between Large-scale Brain Networks and the Properties of Local Cortical Regions.

Degree: Neuroscience, 2013, University of California – Berkeley

 An abundance of research has demonstrated that the brain is both organized into discrete, highly specialized, regions and that distributed regions work together in the… (more)

Subjects/Keywords: Neurosciences; attention; fMRI; functional connectivity; lesion; TMS

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APA (6th Edition):

Gratton, C. (2013). Attention and Disruption: Modulating the Interactions between Large-scale Brain Networks and the Properties of Local Cortical Regions. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/5mr0654b

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):

Gratton, Caterina. “Attention and Disruption: Modulating the Interactions between Large-scale Brain Networks and the Properties of Local Cortical Regions.” 2013. Thesis, University of California – Berkeley. Accessed March 31, 2020. http://www.escholarship.org/uc/item/5mr0654b.

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

MLA Handbook (7th Edition):

Gratton, Caterina. “Attention and Disruption: Modulating the Interactions between Large-scale Brain Networks and the Properties of Local Cortical Regions.” 2013. Web. 31 Mar 2020.

Vancouver:

Gratton C. Attention and Disruption: Modulating the Interactions between Large-scale Brain Networks and the Properties of Local Cortical Regions. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2020 Mar 31]. Available from: http://www.escholarship.org/uc/item/5mr0654b.

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

Council of Science Editors:

Gratton C. Attention and Disruption: Modulating the Interactions between Large-scale Brain Networks and the Properties of Local Cortical Regions. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/5mr0654b

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


University of Illinois – Chicago

13. Bjorkquist, Olivia A. Emotion Perception in Schizophrenia: A Functional Connectivity Study.

Degree: 2015, University of Illinois – Chicago

 Individuals with schizophrenia evidence impairment in multiple aspects of emotional functioning, including emotion expression, perception, and recognition. Neuroimaging research has identified abnormalities in the amygdala… (more)

Subjects/Keywords: schizophrenia; emotion; social cognition; fmri; functional connectivity

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APA (6th Edition):

Bjorkquist, O. A. (2015). Emotion Perception in Schizophrenia: A Functional Connectivity Study. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/19488

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):

Bjorkquist, Olivia A. “Emotion Perception in Schizophrenia: A Functional Connectivity Study.” 2015. Thesis, University of Illinois – Chicago. Accessed March 31, 2020. http://hdl.handle.net/10027/19488.

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

MLA Handbook (7th Edition):

Bjorkquist, Olivia A. “Emotion Perception in Schizophrenia: A Functional Connectivity Study.” 2015. Web. 31 Mar 2020.

Vancouver:

Bjorkquist OA. Emotion Perception in Schizophrenia: A Functional Connectivity Study. [Internet] [Thesis]. University of Illinois – Chicago; 2015. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/10027/19488.

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

Council of Science Editors:

Bjorkquist OA. Emotion Perception in Schizophrenia: A Functional Connectivity Study. [Thesis]. University of Illinois – Chicago; 2015. Available from: http://hdl.handle.net/10027/19488

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


Boston University

14. Kong, Lingqiang. Functional MRI investigations of cortical mechanisms of auditory spatial attention.

Degree: PhD, Cognitive & Neural Systems, 2013, Boston University

 In everyday settings, spatial attention helps listeners isolate and understand individual sound sources. However, the neural mechanisms of auditory spatial attention (ASpA) are only partially… (more)

Subjects/Keywords: Neurosciences; fMRI; Auditory spatial attention; Functional connectivity

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APA (6th Edition):

Kong, L. (2013). Functional MRI investigations of cortical mechanisms of auditory spatial attention. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/14077

Chicago Manual of Style (16th Edition):

Kong, Lingqiang. “Functional MRI investigations of cortical mechanisms of auditory spatial attention.” 2013. Doctoral Dissertation, Boston University. Accessed March 31, 2020. http://hdl.handle.net/2144/14077.

MLA Handbook (7th Edition):

Kong, Lingqiang. “Functional MRI investigations of cortical mechanisms of auditory spatial attention.” 2013. Web. 31 Mar 2020.

Vancouver:

Kong L. Functional MRI investigations of cortical mechanisms of auditory spatial attention. [Internet] [Doctoral dissertation]. Boston University; 2013. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/2144/14077.

Council of Science Editors:

Kong L. Functional MRI investigations of cortical mechanisms of auditory spatial attention. [Doctoral Dissertation]. Boston University; 2013. Available from: http://hdl.handle.net/2144/14077


University of Melbourne

15. Davey, Catherine E. Critique of linear connectivity methods in functional magnetic resonance imaging.

Degree: 2011, University of Melbourne

Functional magnetic resonance imaging (fMRI) garners insight into brain functionality using a non-invasive imaging technique that capitalises on the coupling between neuronal activity and blood… (more)

Subjects/Keywords: functional MRI; connectivity; correlation; linear Gaussian models

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APA (6th Edition):

Davey, C. E. (2011). Critique of linear connectivity methods in functional magnetic resonance imaging. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37476

Chicago Manual of Style (16th Edition):

Davey, Catherine E. “Critique of linear connectivity methods in functional magnetic resonance imaging.” 2011. Doctoral Dissertation, University of Melbourne. Accessed March 31, 2020. http://hdl.handle.net/11343/37476.

MLA Handbook (7th Edition):

Davey, Catherine E. “Critique of linear connectivity methods in functional magnetic resonance imaging.” 2011. Web. 31 Mar 2020.

Vancouver:

Davey CE. Critique of linear connectivity methods in functional magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Melbourne; 2011. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/11343/37476.

Council of Science Editors:

Davey CE. Critique of linear connectivity methods in functional magnetic resonance imaging. [Doctoral Dissertation]. University of Melbourne; 2011. Available from: http://hdl.handle.net/11343/37476


University of Toronto

16. Smieja, Daniel. Functional Connectivity in Children with Bilateral Cochlear Implants.

Degree: 2018, University of Toronto

By providing early bilateral cochlear implants, we can stimulate auditory development in congenitally deaf children. Electrophysiological studies have shown that despite early intervention, children with… (more)

Subjects/Keywords: Cochlear Implants; Deafness; EEG; Functional Connectivity; 0541

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APA (6th Edition):

Smieja, D. (2018). Functional Connectivity in Children with Bilateral Cochlear Implants. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91539

Chicago Manual of Style (16th Edition):

Smieja, Daniel. “Functional Connectivity in Children with Bilateral Cochlear Implants.” 2018. Masters Thesis, University of Toronto. Accessed March 31, 2020. http://hdl.handle.net/1807/91539.

MLA Handbook (7th Edition):

Smieja, Daniel. “Functional Connectivity in Children with Bilateral Cochlear Implants.” 2018. Web. 31 Mar 2020.

Vancouver:

Smieja D. Functional Connectivity in Children with Bilateral Cochlear Implants. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/1807/91539.

Council of Science Editors:

Smieja D. Functional Connectivity in Children with Bilateral Cochlear Implants. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91539


Rice University

17. Cai, Zhiting. A Data-Driven Information Theoretic Approach for Neural Network Connectivity Inference.

Degree: MS, Engineering, 2017, Rice University

 A major challenge in neuroscience is to develop effective tools that infer the circuit connectivity from large-scale recordings of neuronal activity patterns, such that we… (more)

Subjects/Keywords: Functional connectivity; directed information; context tree maximizing

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APA (6th Edition):

Cai, Z. (2017). A Data-Driven Information Theoretic Approach for Neural Network Connectivity Inference. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/96145

Chicago Manual of Style (16th Edition):

Cai, Zhiting. “A Data-Driven Information Theoretic Approach for Neural Network Connectivity Inference.” 2017. Masters Thesis, Rice University. Accessed March 31, 2020. http://hdl.handle.net/1911/96145.

MLA Handbook (7th Edition):

Cai, Zhiting. “A Data-Driven Information Theoretic Approach for Neural Network Connectivity Inference.” 2017. Web. 31 Mar 2020.

Vancouver:

Cai Z. A Data-Driven Information Theoretic Approach for Neural Network Connectivity Inference. [Internet] [Masters thesis]. Rice University; 2017. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/1911/96145.

Council of Science Editors:

Cai Z. A Data-Driven Information Theoretic Approach for Neural Network Connectivity Inference. [Masters Thesis]. Rice University; 2017. Available from: http://hdl.handle.net/1911/96145


University of New Mexico

18. Rodriguez, Carlos I. The effects of prenatal alcohol exposure on the resting state functional brain connectivity in a sample of individuals with fetal alcohol spectrum disorder.

Degree: Psychology, 2018, University of New Mexico

  It is well established that alcohol exposure during prenatal development can lead to a heterogeneous and wide ranging set of morphological and neurobehavioral deficits… (more)

Subjects/Keywords: FASD; Prenatal Alcohol Exposure; Functional Connectivity; Psychology

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APA (6th Edition):

Rodriguez, C. I. (2018). The effects of prenatal alcohol exposure on the resting state functional brain connectivity in a sample of individuals with fetal alcohol spectrum disorder. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/psy_etds/259

Chicago Manual of Style (16th Edition):

Rodriguez, Carlos I. “The effects of prenatal alcohol exposure on the resting state functional brain connectivity in a sample of individuals with fetal alcohol spectrum disorder.” 2018. Doctoral Dissertation, University of New Mexico. Accessed March 31, 2020. https://digitalrepository.unm.edu/psy_etds/259.

MLA Handbook (7th Edition):

Rodriguez, Carlos I. “The effects of prenatal alcohol exposure on the resting state functional brain connectivity in a sample of individuals with fetal alcohol spectrum disorder.” 2018. Web. 31 Mar 2020.

Vancouver:

Rodriguez CI. The effects of prenatal alcohol exposure on the resting state functional brain connectivity in a sample of individuals with fetal alcohol spectrum disorder. [Internet] [Doctoral dissertation]. University of New Mexico; 2018. [cited 2020 Mar 31]. Available from: https://digitalrepository.unm.edu/psy_etds/259.

Council of Science Editors:

Rodriguez CI. The effects of prenatal alcohol exposure on the resting state functional brain connectivity in a sample of individuals with fetal alcohol spectrum disorder. [Doctoral Dissertation]. University of New Mexico; 2018. Available from: https://digitalrepository.unm.edu/psy_etds/259


UCLA

19. Brown, Jesse Aaron. Multimodality MRI-based Brain Network Analysis: Applications to Genetic Risk for Alzheimer's Disease.

Degree: Neuroscience, 2013, UCLA

 Whole-brain structural and functional connectivity networks can be assessed using diffusion-weighted MRI (DW-MRI) and functional MRI (fMRI), respectively. When the brain is parcellated into its… (more)

Subjects/Keywords: Neurosciences; Alzheimer's Disease; APOE; functional connectivity; graph theory; hippocampus; structural connectivity

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APA (6th Edition):

Brown, J. A. (2013). Multimodality MRI-based Brain Network Analysis: Applications to Genetic Risk for Alzheimer's Disease. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/26x0r545

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):

Brown, Jesse Aaron. “Multimodality MRI-based Brain Network Analysis: Applications to Genetic Risk for Alzheimer's Disease.” 2013. Thesis, UCLA. Accessed March 31, 2020. http://www.escholarship.org/uc/item/26x0r545.

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

MLA Handbook (7th Edition):

Brown, Jesse Aaron. “Multimodality MRI-based Brain Network Analysis: Applications to Genetic Risk for Alzheimer's Disease.” 2013. Web. 31 Mar 2020.

Vancouver:

Brown JA. Multimodality MRI-based Brain Network Analysis: Applications to Genetic Risk for Alzheimer's Disease. [Internet] [Thesis]. UCLA; 2013. [cited 2020 Mar 31]. Available from: http://www.escholarship.org/uc/item/26x0r545.

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

Council of Science Editors:

Brown JA. Multimodality MRI-based Brain Network Analysis: Applications to Genetic Risk for Alzheimer's Disease. [Thesis]. UCLA; 2013. Available from: http://www.escholarship.org/uc/item/26x0r545

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


University of New South Wales

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

Degree: Psychiatry, 2017, University of New South Wales

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Perry, Alistair. “Brain networks in healthy ageing and psychiatric conditions.” 2017. Doctoral Dissertation, University of New South Wales. Accessed March 31, 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. 31 Mar 2020.

Vancouver:

Perry A. Brain networks in healthy ageing and psychiatric conditions. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Mar 31]. 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


Washington University in St. Louis

21. Sun, Haoxin. On Control Systems of the Brain: A Study of Their Connections, Activations, and Interactions.

Degree: PhD, Biomedical Engineering, 2016, Washington University in St. Louis

  Implementation of daily functions in humans crucially relies on both the bottom-up moment-to- moment processing of relevant input and output information as well as… (more)

Subjects/Keywords: fMRI; Functional Connectivity; Functional Systems; Graph Theory; Task Activation; Task Background Connectivity; Engineering

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APA (6th Edition):

Sun, H. (2016). On Control Systems of the Brain: A Study of Their Connections, Activations, and Interactions. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/210

Chicago Manual of Style (16th Edition):

Sun, Haoxin. “On Control Systems of the Brain: A Study of Their Connections, Activations, and Interactions.” 2016. Doctoral Dissertation, Washington University in St. Louis. Accessed March 31, 2020. https://openscholarship.wustl.edu/eng_etds/210.

MLA Handbook (7th Edition):

Sun, Haoxin. “On Control Systems of the Brain: A Study of Their Connections, Activations, and Interactions.” 2016. Web. 31 Mar 2020.

Vancouver:

Sun H. On Control Systems of the Brain: A Study of Their Connections, Activations, and Interactions. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2016. [cited 2020 Mar 31]. Available from: https://openscholarship.wustl.edu/eng_etds/210.

Council of Science Editors:

Sun H. On Control Systems of the Brain: A Study of Their Connections, Activations, and Interactions. [Doctoral Dissertation]. Washington University in St. Louis; 2016. Available from: https://openscholarship.wustl.edu/eng_etds/210


University of Toronto

22. Cheng, Joshua. Functional Connectivity Within the Dynamic Pain Connectome Underlying Inter-Subject Differences in Acute and Chronic Pain.

Degree: PhD, 2018, University of Toronto

 Pain is an individual experience. Given an identical noxious stimulus, some individuals perceive a high level of pain, whereas others perceive minimal pain. Even when… (more)

Subjects/Keywords: Chronic Pain; Dynamic Functional Connectivity; Functional Connectivity; Individual Differences; Machine Learning; Neuroimaging; 0317

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APA (6th Edition):

Cheng, J. (2018). Functional Connectivity Within the Dynamic Pain Connectome Underlying Inter-Subject Differences in Acute and Chronic Pain. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/91798

Chicago Manual of Style (16th Edition):

Cheng, Joshua. “Functional Connectivity Within the Dynamic Pain Connectome Underlying Inter-Subject Differences in Acute and Chronic Pain.” 2018. Doctoral Dissertation, University of Toronto. Accessed March 31, 2020. http://hdl.handle.net/1807/91798.

MLA Handbook (7th Edition):

Cheng, Joshua. “Functional Connectivity Within the Dynamic Pain Connectome Underlying Inter-Subject Differences in Acute and Chronic Pain.” 2018. Web. 31 Mar 2020.

Vancouver:

Cheng J. Functional Connectivity Within the Dynamic Pain Connectome Underlying Inter-Subject Differences in Acute and Chronic Pain. [Internet] [Doctoral dissertation]. University of Toronto; 2018. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/1807/91798.

Council of Science Editors:

Cheng J. Functional Connectivity Within the Dynamic Pain Connectome Underlying Inter-Subject Differences in Acute and Chronic Pain. [Doctoral Dissertation]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91798


University of New Mexico

23. Vakhtin, Andrei A. Relationship Between Structure and Functional Connectivity Within the Default Mode Network.

Degree: Psychology, 2017, University of New Mexico

  We proposed a novel measure of conceptualizing dynamic functional network connectivity (FNC) in the human brain using flexibility of functional connectivity (fFC), which captures… (more)

Subjects/Keywords: Default Mode Network; Functional Connectivity; Structural Connectivity; Functional Networks; fMRI; DTI; Cognitive Neuroscience; Psychology

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APA (6th Edition):

Vakhtin, A. A. (2017). Relationship Between Structure and Functional Connectivity Within the Default Mode Network. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/psy_etds/214

Chicago Manual of Style (16th Edition):

Vakhtin, Andrei A. “Relationship Between Structure and Functional Connectivity Within the Default Mode Network.” 2017. Doctoral Dissertation, University of New Mexico. Accessed March 31, 2020. https://digitalrepository.unm.edu/psy_etds/214.

MLA Handbook (7th Edition):

Vakhtin, Andrei A. “Relationship Between Structure and Functional Connectivity Within the Default Mode Network.” 2017. Web. 31 Mar 2020.

Vancouver:

Vakhtin AA. Relationship Between Structure and Functional Connectivity Within the Default Mode Network. [Internet] [Doctoral dissertation]. University of New Mexico; 2017. [cited 2020 Mar 31]. Available from: https://digitalrepository.unm.edu/psy_etds/214.

Council of Science Editors:

Vakhtin AA. Relationship Between Structure and Functional Connectivity Within the Default Mode Network. [Doctoral Dissertation]. University of New Mexico; 2017. Available from: https://digitalrepository.unm.edu/psy_etds/214


Washington University in St. Louis

24. Cohen, Alexander. Cortical Cartography: Mapping Functional Areas Across the Human Brain with Resting State Functional Connectivity MRI.

Degree: PhD, Biology and Biomedical Sciences: Neurosciences, 2011, Washington University in St. Louis

 Human behavior and cognition are largely supported by the cerebral cortex, a structure organized at many physical scales ranging from individual neurons up to distributed… (more)

Subjects/Keywords: Neurosciences; Cognitive Psychology; Cerebral Cortex, Functional Areas, Functional Connectivity, Human Brain

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APA (6th Edition):

Cohen, A. (2011). Cortical Cartography: Mapping Functional Areas Across the Human Brain with Resting State Functional Connectivity MRI. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/71

Chicago Manual of Style (16th Edition):

Cohen, Alexander. “Cortical Cartography: Mapping Functional Areas Across the Human Brain with Resting State Functional Connectivity MRI.” 2011. Doctoral Dissertation, Washington University in St. Louis. Accessed March 31, 2020. https://openscholarship.wustl.edu/etd/71.

MLA Handbook (7th Edition):

Cohen, Alexander. “Cortical Cartography: Mapping Functional Areas Across the Human Brain with Resting State Functional Connectivity MRI.” 2011. Web. 31 Mar 2020.

Vancouver:

Cohen A. Cortical Cartography: Mapping Functional Areas Across the Human Brain with Resting State Functional Connectivity MRI. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2011. [cited 2020 Mar 31]. Available from: https://openscholarship.wustl.edu/etd/71.

Council of Science Editors:

Cohen A. Cortical Cartography: Mapping Functional Areas Across the Human Brain with Resting State Functional Connectivity MRI. [Doctoral Dissertation]. Washington University in St. Louis; 2011. Available from: https://openscholarship.wustl.edu/etd/71


University of Oxford

25. 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 March 31, 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. 31 Mar 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 Mar 31]. 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


Boston University

26. Mongerson, Chandler Rebecca Lee. Probing resting-state functional connectivity in the infant brain: methods and potentiality.

Degree: MS, Medical Sciences, 2017, Boston University

 Early brain development is characterized by rapid growth and perpetual reconfiguration, driven by a dynamic milieu of heterogeneous processes. Moreover, potent postnatal brain plasticity engenders… (more)

Subjects/Keywords: Neurosciences; Functional connectivity; Functional magnetic resonance imaging; Infant; Neurodevelopment; Resting-state networks

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APA (6th Edition):

Mongerson, C. R. L. (2017). Probing resting-state functional connectivity in the infant brain: methods and potentiality. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/23837

Chicago Manual of Style (16th Edition):

Mongerson, Chandler Rebecca Lee. “Probing resting-state functional connectivity in the infant brain: methods and potentiality.” 2017. Masters Thesis, Boston University. Accessed March 31, 2020. http://hdl.handle.net/2144/23837.

MLA Handbook (7th Edition):

Mongerson, Chandler Rebecca Lee. “Probing resting-state functional connectivity in the infant brain: methods and potentiality.” 2017. Web. 31 Mar 2020.

Vancouver:

Mongerson CRL. Probing resting-state functional connectivity in the infant brain: methods and potentiality. [Internet] [Masters thesis]. Boston University; 2017. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/2144/23837.

Council of Science Editors:

Mongerson CRL. Probing resting-state functional connectivity in the infant brain: methods and potentiality. [Masters Thesis]. Boston University; 2017. Available from: http://hdl.handle.net/2144/23837


University of Toronto

27. Kwinta, Jonathan Branden. Vascular Modulation of Resting-state fMRI Functional Connectivity.

Degree: 2016, University of Toronto

Widely used in resting-state fMRI functional connectivity measurement (fcMRI), the BOLD signal is an indirect measure of neuronal activity, inherently modulated by vascular physiology. Notably,… (more)

Subjects/Keywords: Cerebrovascular reactivity; fMRI; Functional connectivity; Functional MRI; Magnetic resonance imaging; Resting-state; 0574

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APA (6th Edition):

Kwinta, J. B. (2016). Vascular Modulation of Resting-state fMRI Functional Connectivity. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/71674

Chicago Manual of Style (16th Edition):

Kwinta, Jonathan Branden. “Vascular Modulation of Resting-state fMRI Functional Connectivity.” 2016. Masters Thesis, University of Toronto. Accessed March 31, 2020. http://hdl.handle.net/1807/71674.

MLA Handbook (7th Edition):

Kwinta, Jonathan Branden. “Vascular Modulation of Resting-state fMRI Functional Connectivity.” 2016. Web. 31 Mar 2020.

Vancouver:

Kwinta JB. Vascular Modulation of Resting-state fMRI Functional Connectivity. [Internet] [Masters thesis]. University of Toronto; 2016. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/1807/71674.

Council of Science Editors:

Kwinta JB. Vascular Modulation of Resting-state fMRI Functional Connectivity. [Masters Thesis]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/71674


University of Toronto

28. Easson, Amanda Kathleen. Characterizing Resting-State Brain Dynamics in Individuals with and without Autism Spectrum Disorder.

Degree: PhD, 2019, University of Toronto

 Autism spectrum disorder (ASD) is a neurodevelopmental disorder that is characterized by impairments in social communication as well as restricted, repetitive and stereotyped behaviours. ASD… (more)

Subjects/Keywords: Autism spectrum disorder; Functional connectivity; Functional magnetic resonance imaging; Multivariate statistics; Resting-state; 0317

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APA (6th Edition):

Easson, A. K. (2019). Characterizing Resting-State Brain Dynamics in Individuals with and without Autism Spectrum Disorder. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/97441

Chicago Manual of Style (16th Edition):

Easson, Amanda Kathleen. “Characterizing Resting-State Brain Dynamics in Individuals with and without Autism Spectrum Disorder.” 2019. Doctoral Dissertation, University of Toronto. Accessed March 31, 2020. http://hdl.handle.net/1807/97441.

MLA Handbook (7th Edition):

Easson, Amanda Kathleen. “Characterizing Resting-State Brain Dynamics in Individuals with and without Autism Spectrum Disorder.” 2019. Web. 31 Mar 2020.

Vancouver:

Easson AK. Characterizing Resting-State Brain Dynamics in Individuals with and without Autism Spectrum Disorder. [Internet] [Doctoral dissertation]. University of Toronto; 2019. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/1807/97441.

Council of Science Editors:

Easson AK. Characterizing Resting-State Brain Dynamics in Individuals with and without Autism Spectrum Disorder. [Doctoral Dissertation]. University of Toronto; 2019. Available from: http://hdl.handle.net/1807/97441

29. Awade, Marcelo. Padrões de movimentação de uma espécie de ave em paisagens fragmentadas e seus efeitos para a conectividade funcional: uma abordagem hierárquica.

Degree: Mestrado, Ecologia: Ecossistemas Terrestres e Aquáticos, 2009, University of São Paulo

Um dos maiores impactos antrópicos aos ecossistemas terrestres é a fragmentação do habitat. Este processo afeta fortemente os padrões de movimentação das espécies, implicando em… (more)

Subjects/Keywords: Conectividade funcional; Conservação; Conservation; Ecological modelling; Functional connectivity; Modelagem ecológica

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APA (6th Edition):

Awade, M. (2009). Padrões de movimentação de uma espécie de ave em paisagens fragmentadas e seus efeitos para a conectividade funcional: uma abordagem hierárquica. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/41/41134/tde-11122009-135213/ ;

Chicago Manual of Style (16th Edition):

Awade, Marcelo. “Padrões de movimentação de uma espécie de ave em paisagens fragmentadas e seus efeitos para a conectividade funcional: uma abordagem hierárquica.” 2009. Masters Thesis, University of São Paulo. Accessed March 31, 2020. http://www.teses.usp.br/teses/disponiveis/41/41134/tde-11122009-135213/ ;.

MLA Handbook (7th Edition):

Awade, Marcelo. “Padrões de movimentação de uma espécie de ave em paisagens fragmentadas e seus efeitos para a conectividade funcional: uma abordagem hierárquica.” 2009. Web. 31 Mar 2020.

Vancouver:

Awade M. Padrões de movimentação de uma espécie de ave em paisagens fragmentadas e seus efeitos para a conectividade funcional: uma abordagem hierárquica. [Internet] [Masters thesis]. University of São Paulo; 2009. [cited 2020 Mar 31]. Available from: http://www.teses.usp.br/teses/disponiveis/41/41134/tde-11122009-135213/ ;.

Council of Science Editors:

Awade M. Padrões de movimentação de uma espécie de ave em paisagens fragmentadas e seus efeitos para a conectividade funcional: uma abordagem hierárquica. [Masters Thesis]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/41/41134/tde-11122009-135213/ ;


Dalhousie University

30. Gionfriddo, Alicia. Quantifying the patterns of functional connectivity within the brain during imagined and overt movement of a functional task in non-disabled systems.

Degree: MS, School of Physiotherapy, 2014, Dalhousie University

 This project was aimed at quantifying functional connectivity within the brain during motor imagery (MI) and the actual performance of a motor task, and comparing… (more)

Subjects/Keywords: functional connectivity; graph theory; motor imagery; neurorehabilittion; electroencephalography; source reconstruction

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APA (6th Edition):

Gionfriddo, A. (2014). Quantifying the patterns of functional connectivity within the brain during imagined and overt movement of a functional task in non-disabled systems. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/53975

Chicago Manual of Style (16th Edition):

Gionfriddo, Alicia. “Quantifying the patterns of functional connectivity within the brain during imagined and overt movement of a functional task in non-disabled systems.” 2014. Masters Thesis, Dalhousie University. Accessed March 31, 2020. http://hdl.handle.net/10222/53975.

MLA Handbook (7th Edition):

Gionfriddo, Alicia. “Quantifying the patterns of functional connectivity within the brain during imagined and overt movement of a functional task in non-disabled systems.” 2014. Web. 31 Mar 2020.

Vancouver:

Gionfriddo A. Quantifying the patterns of functional connectivity within the brain during imagined and overt movement of a functional task in non-disabled systems. [Internet] [Masters thesis]. Dalhousie University; 2014. [cited 2020 Mar 31]. Available from: http://hdl.handle.net/10222/53975.

Council of Science Editors:

Gionfriddo A. Quantifying the patterns of functional connectivity within the brain during imagined and overt movement of a functional task in non-disabled systems. [Masters Thesis]. Dalhousie University; 2014. Available from: http://hdl.handle.net/10222/53975

[1] [2] [3] [4] [5] … [13]

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