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You searched for subject:(connectome). Showing records 1 – 30 of 63 total matches.

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University of Edinburgh

1. Blesa Cábez, Manuel. Effect of perinatal adversity on structural connectivity of the developing brain.

Degree: PhD, 2018, University of Edinburgh

 Globally, preterm birth (defined as birth at < 37 weeks of gestation) affects around 11% of deliveries and it is closely associated with cerebral palsy,… (more)

Subjects/Keywords: MRI; brain connectome; connectome analysis; tractography framework; neonatal brain; breastmilk exposure

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APA (6th Edition):

Blesa Cábez, M. (2018). Effect of perinatal adversity on structural connectivity of the developing brain. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/33229

Chicago Manual of Style (16th Edition):

Blesa Cábez, Manuel. “Effect of perinatal adversity on structural connectivity of the developing brain.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed June 20, 2019. http://hdl.handle.net/1842/33229.

MLA Handbook (7th Edition):

Blesa Cábez, Manuel. “Effect of perinatal adversity on structural connectivity of the developing brain.” 2018. Web. 20 Jun 2019.

Vancouver:

Blesa Cábez M. Effect of perinatal adversity on structural connectivity of the developing brain. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/1842/33229.

Council of Science Editors:

Blesa Cábez M. Effect of perinatal adversity on structural connectivity of the developing brain. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/33229


University of California – San Diego

2. Pipkin, Jason. Untangling the ganglion: connectomics in the medicinal leech.

Degree: Neurosciences, 2015, University of California – San Diego

 The behaviors generated by neural circuits are constrained by the connectivity pattern among the neurons involved. Determining this connectivity pattern for circuits involving more than… (more)

Subjects/Keywords: Neurosciences; connectome; leech; serial electron microscopy

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APA (6th Edition):

Pipkin, J. (2015). Untangling the ganglion: connectomics in the medicinal leech. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/0qh3k3w6

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):

Pipkin, Jason. “Untangling the ganglion: connectomics in the medicinal leech.” 2015. Thesis, University of California – San Diego. Accessed June 20, 2019. http://www.escholarship.org/uc/item/0qh3k3w6.

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

MLA Handbook (7th Edition):

Pipkin, Jason. “Untangling the ganglion: connectomics in the medicinal leech.” 2015. Web. 20 Jun 2019.

Vancouver:

Pipkin J. Untangling the ganglion: connectomics in the medicinal leech. [Internet] [Thesis]. University of California – San Diego; 2015. [cited 2019 Jun 20]. Available from: http://www.escholarship.org/uc/item/0qh3k3w6.

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

Council of Science Editors:

Pipkin J. Untangling the ganglion: connectomics in the medicinal leech. [Thesis]. University of California – San Diego; 2015. Available from: http://www.escholarship.org/uc/item/0qh3k3w6

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


University of Illinois – Chicago

3. Conte, Giorgio. Visualizing the Intrinsic Geometry of Dynamic Human Brain Connectomes.

Degree: 2016, University of Illinois – Chicago

 Understanding how brain regions are interconnected is an important topic within the domain of neuroimaging. The progresses in techniques not invasive such as fMRI (functional… (more)

Subjects/Keywords: connectome; visualization; intrinsic geometry; brain; virtual reality

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APA (6th Edition):

Conte, G. (2016). Visualizing the Intrinsic Geometry of Dynamic Human Brain Connectomes. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21335

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):

Conte, Giorgio. “Visualizing the Intrinsic Geometry of Dynamic Human Brain Connectomes.” 2016. Thesis, University of Illinois – Chicago. Accessed June 20, 2019. http://hdl.handle.net/10027/21335.

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

MLA Handbook (7th Edition):

Conte, Giorgio. “Visualizing the Intrinsic Geometry of Dynamic Human Brain Connectomes.” 2016. Web. 20 Jun 2019.

Vancouver:

Conte G. Visualizing the Intrinsic Geometry of Dynamic Human Brain Connectomes. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/10027/21335.

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

Council of Science Editors:

Conte G. Visualizing the Intrinsic Geometry of Dynamic Human Brain Connectomes. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/21335

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

4. Tran dong, Minh Ngoc Thien Kim. Connectome structurel des réseaux neuronaux des patients d’épisode dépressif caractérisé étudié en IRM de tenseur de diffusion et de tractographie : Neuronal Structural Connectome of Major Despression Episode Patients studied on Diffusion Tensor Imaging and Tractography.

Degree: Docteur es, Imagerie et physique médicale, 2018, Paris Saclay

Episode dépressif caractérisé (EDC) devient de plus en plus fréquent dans le monde entier. Les imageries fonctionnelles et volumétriques ont trouvé des activations anormales et… (more)

Subjects/Keywords: Connectome structurel; Dépression; Tenseur de diffusion; Structural connectome; Depression; Diffusion Tensor Imaging

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APA (6th Edition):

Tran dong, M. N. T. K. (2018). Connectome structurel des réseaux neuronaux des patients d’épisode dépressif caractérisé étudié en IRM de tenseur de diffusion et de tractographie : Neuronal Structural Connectome of Major Despression Episode Patients studied on Diffusion Tensor Imaging and Tractography. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2018SACLS082

Chicago Manual of Style (16th Edition):

Tran dong, Minh Ngoc Thien Kim. “Connectome structurel des réseaux neuronaux des patients d’épisode dépressif caractérisé étudié en IRM de tenseur de diffusion et de tractographie : Neuronal Structural Connectome of Major Despression Episode Patients studied on Diffusion Tensor Imaging and Tractography.” 2018. Doctoral Dissertation, Paris Saclay. Accessed June 20, 2019. http://www.theses.fr/2018SACLS082.

MLA Handbook (7th Edition):

Tran dong, Minh Ngoc Thien Kim. “Connectome structurel des réseaux neuronaux des patients d’épisode dépressif caractérisé étudié en IRM de tenseur de diffusion et de tractographie : Neuronal Structural Connectome of Major Despression Episode Patients studied on Diffusion Tensor Imaging and Tractography.” 2018. Web. 20 Jun 2019.

Vancouver:

Tran dong MNTK. Connectome structurel des réseaux neuronaux des patients d’épisode dépressif caractérisé étudié en IRM de tenseur de diffusion et de tractographie : Neuronal Structural Connectome of Major Despression Episode Patients studied on Diffusion Tensor Imaging and Tractography. [Internet] [Doctoral dissertation]. Paris Saclay; 2018. [cited 2019 Jun 20]. Available from: http://www.theses.fr/2018SACLS082.

Council of Science Editors:

Tran dong MNTK. Connectome structurel des réseaux neuronaux des patients d’épisode dépressif caractérisé étudié en IRM de tenseur de diffusion et de tractographie : Neuronal Structural Connectome of Major Despression Episode Patients studied on Diffusion Tensor Imaging and Tractography. [Doctoral Dissertation]. Paris Saclay; 2018. Available from: http://www.theses.fr/2018SACLS082

5. Kocevar, Gabriel. Développement de méthodes d’IRM avancées pour l’étude longitudinale de la Sclérose en Plaques : Development of Advanced MRI Techniques for the Longitudinal Study of Multiple Sclerosis.

Degree: Docteur es, Recherche clinique. Innovation technologique. Santé publique, 2017, Lyon

Bien qu'outil de référence pour le diagnostic et le suivi de la SEP, l'IRM conventionnelle ne reste que modérément corrélée à l'état clinique du patient.… (more)

Subjects/Keywords: Sclérose en plaques; IRM; IRM de diffusion; Connectome; Spectroscopie RMN; Multiple sclerosis; MRI; Diffusion MRI; Connectome; MR Spectroscopy; 537.535

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APA (6th Edition):

Kocevar, G. (2017). Développement de méthodes d’IRM avancées pour l’étude longitudinale de la Sclérose en Plaques : Development of Advanced MRI Techniques for the Longitudinal Study of Multiple Sclerosis. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2017LYSE1057

Chicago Manual of Style (16th Edition):

Kocevar, Gabriel. “Développement de méthodes d’IRM avancées pour l’étude longitudinale de la Sclérose en Plaques : Development of Advanced MRI Techniques for the Longitudinal Study of Multiple Sclerosis.” 2017. Doctoral Dissertation, Lyon. Accessed June 20, 2019. http://www.theses.fr/2017LYSE1057.

MLA Handbook (7th Edition):

Kocevar, Gabriel. “Développement de méthodes d’IRM avancées pour l’étude longitudinale de la Sclérose en Plaques : Development of Advanced MRI Techniques for the Longitudinal Study of Multiple Sclerosis.” 2017. Web. 20 Jun 2019.

Vancouver:

Kocevar G. Développement de méthodes d’IRM avancées pour l’étude longitudinale de la Sclérose en Plaques : Development of Advanced MRI Techniques for the Longitudinal Study of Multiple Sclerosis. [Internet] [Doctoral dissertation]. Lyon; 2017. [cited 2019 Jun 20]. Available from: http://www.theses.fr/2017LYSE1057.

Council of Science Editors:

Kocevar G. Développement de méthodes d’IRM avancées pour l’étude longitudinale de la Sclérose en Plaques : Development of Advanced MRI Techniques for the Longitudinal Study of Multiple Sclerosis. [Doctoral Dissertation]. Lyon; 2017. Available from: http://www.theses.fr/2017LYSE1057

6. Fillinger, Clémentine. Identification du connectome de l'aire 24 du cortex cingulaire antérieur dans le contexte du développement de phénotypes de type anxio-dépressif chez la souris : implication de la voie amygdalo-cingulaire : Identification of the anterior cingulate cortex area 24 in the context of anxiodepressive-like phenotypes development in the mouse : implication of the amygdalo-cingulate pathway.

Degree: Docteur es, Neurosciences, 2017, Université de Strasbourg

Le cortex cingulaire antérieur (CCA) est une région préfrontale située au centre d’un réseau permettant l’échange d’informations cognitives, motrices, limbiques et viscérales, la plaçant ainsi… (more)

Subjects/Keywords: Cortex cingulaire antérieur; Connectome; Traçage; Anxiété; Dépression; Anterior cingulate cortex; Connectome; Tract-tracing; Anxiety; Depression; 573.8; 612.8; 616.8

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APA (6th Edition):

Fillinger, C. (2017). Identification du connectome de l'aire 24 du cortex cingulaire antérieur dans le contexte du développement de phénotypes de type anxio-dépressif chez la souris : implication de la voie amygdalo-cingulaire : Identification of the anterior cingulate cortex area 24 in the context of anxiodepressive-like phenotypes development in the mouse : implication of the amygdalo-cingulate pathway. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2017STRAJ029

Chicago Manual of Style (16th Edition):

Fillinger, Clémentine. “Identification du connectome de l'aire 24 du cortex cingulaire antérieur dans le contexte du développement de phénotypes de type anxio-dépressif chez la souris : implication de la voie amygdalo-cingulaire : Identification of the anterior cingulate cortex area 24 in the context of anxiodepressive-like phenotypes development in the mouse : implication of the amygdalo-cingulate pathway.” 2017. Doctoral Dissertation, Université de Strasbourg. Accessed June 20, 2019. http://www.theses.fr/2017STRAJ029.

MLA Handbook (7th Edition):

Fillinger, Clémentine. “Identification du connectome de l'aire 24 du cortex cingulaire antérieur dans le contexte du développement de phénotypes de type anxio-dépressif chez la souris : implication de la voie amygdalo-cingulaire : Identification of the anterior cingulate cortex area 24 in the context of anxiodepressive-like phenotypes development in the mouse : implication of the amygdalo-cingulate pathway.” 2017. Web. 20 Jun 2019.

Vancouver:

Fillinger C. Identification du connectome de l'aire 24 du cortex cingulaire antérieur dans le contexte du développement de phénotypes de type anxio-dépressif chez la souris : implication de la voie amygdalo-cingulaire : Identification of the anterior cingulate cortex area 24 in the context of anxiodepressive-like phenotypes development in the mouse : implication of the amygdalo-cingulate pathway. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2017. [cited 2019 Jun 20]. Available from: http://www.theses.fr/2017STRAJ029.

Council of Science Editors:

Fillinger C. Identification du connectome de l'aire 24 du cortex cingulaire antérieur dans le contexte du développement de phénotypes de type anxio-dépressif chez la souris : implication de la voie amygdalo-cingulaire : Identification of the anterior cingulate cortex area 24 in the context of anxiodepressive-like phenotypes development in the mouse : implication of the amygdalo-cingulate pathway. [Doctoral Dissertation]. Université de Strasbourg; 2017. Available from: http://www.theses.fr/2017STRAJ029

7. Moreau, Tristan. Vers l'émergence d'un connectome sémantique cérébral humain par le biais de l'IRM et de la tractographie : Toward the emergence of a semantic human connectome using MRI and tractography.

Degree: Docteur es, Traitement du signal et télécommunications, 2015, Rennes 1

Le cerveau humain est constitué d'un grand nombre de neurones inter-connectés formant des faisceaux de fibres de matière blanche permettant de transmettre des influx nerveux… (more)

Subjects/Keywords: Connectome; Tractographie; Ontologie; Parcellisation; Neuro-Informatique; Partage de données; Clustering; Irm; Connectome; Tractography; Ontology; Parcellation; Neuroinformatic; Data sharing; Clustering; Mri

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APA (6th Edition):

Moreau, T. (2015). Vers l'émergence d'un connectome sémantique cérébral humain par le biais de l'IRM et de la tractographie : Toward the emergence of a semantic human connectome using MRI and tractography. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2015REN1S052

Chicago Manual of Style (16th Edition):

Moreau, Tristan. “Vers l'émergence d'un connectome sémantique cérébral humain par le biais de l'IRM et de la tractographie : Toward the emergence of a semantic human connectome using MRI and tractography.” 2015. Doctoral Dissertation, Rennes 1. Accessed June 20, 2019. http://www.theses.fr/2015REN1S052.

MLA Handbook (7th Edition):

Moreau, Tristan. “Vers l'émergence d'un connectome sémantique cérébral humain par le biais de l'IRM et de la tractographie : Toward the emergence of a semantic human connectome using MRI and tractography.” 2015. Web. 20 Jun 2019.

Vancouver:

Moreau T. Vers l'émergence d'un connectome sémantique cérébral humain par le biais de l'IRM et de la tractographie : Toward the emergence of a semantic human connectome using MRI and tractography. [Internet] [Doctoral dissertation]. Rennes 1; 2015. [cited 2019 Jun 20]. Available from: http://www.theses.fr/2015REN1S052.

Council of Science Editors:

Moreau T. Vers l'émergence d'un connectome sémantique cérébral humain par le biais de l'IRM et de la tractographie : Toward the emergence of a semantic human connectome using MRI and tractography. [Doctoral Dissertation]. Rennes 1; 2015. Available from: http://www.theses.fr/2015REN1S052


Université Paris-Sud – Paris XI

8. Lefranc, Sandrine. Parcellisation de la surface corticale basée sur la connectivité : vers une exploration multimodale : Connectivity-based structural parcellation : toward multimodal analysis.

Degree: Docteur es, Physique, 2015, Université Paris-Sud – Paris XI

L’IRM de diffusion est une modalité d’imagerie médicale qui suscite un intérêt croissant dans larecherche en neuro-imagerie. Elle permet de caractériser in vivo l’organisation neuronale… (more)

Subjects/Keywords: Connectome; Clustering; Connectivité structurelle; Images du tenseur de diffusion; Connectome; Clustering; Structural connectivity; Diffusion tensor imaging

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APA (6th Edition):

Lefranc, S. (2015). Parcellisation de la surface corticale basée sur la connectivité : vers une exploration multimodale : Connectivity-based structural parcellation : toward multimodal analysis. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2015PA112149

Chicago Manual of Style (16th Edition):

Lefranc, Sandrine. “Parcellisation de la surface corticale basée sur la connectivité : vers une exploration multimodale : Connectivity-based structural parcellation : toward multimodal analysis.” 2015. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed June 20, 2019. http://www.theses.fr/2015PA112149.

MLA Handbook (7th Edition):

Lefranc, Sandrine. “Parcellisation de la surface corticale basée sur la connectivité : vers une exploration multimodale : Connectivity-based structural parcellation : toward multimodal analysis.” 2015. Web. 20 Jun 2019.

Vancouver:

Lefranc S. Parcellisation de la surface corticale basée sur la connectivité : vers une exploration multimodale : Connectivity-based structural parcellation : toward multimodal analysis. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2015. [cited 2019 Jun 20]. Available from: http://www.theses.fr/2015PA112149.

Council of Science Editors:

Lefranc S. Parcellisation de la surface corticale basée sur la connectivité : vers une exploration multimodale : Connectivity-based structural parcellation : toward multimodal analysis. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2015. Available from: http://www.theses.fr/2015PA112149


University of Utah

9. Seyedhosseini, Mojtaba. Scene labeling with supervised contextual models.

Degree: PhD, Electrical & Computer Engineering, 2014, University of Utah

 Scene labeling is the problem of assigning an object label to each pixel of a given image. It is the primary step towards image understanding… (more)

Subjects/Keywords: Computer vision; Connectome; Contextual model; Machine learning; Scene labeling

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APA (6th Edition):

Seyedhosseini, M. (2014). Scene labeling with supervised contextual models. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3190/rec/2135

Chicago Manual of Style (16th Edition):

Seyedhosseini, Mojtaba. “Scene labeling with supervised contextual models.” 2014. Doctoral Dissertation, University of Utah. Accessed June 20, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3190/rec/2135.

MLA Handbook (7th Edition):

Seyedhosseini, Mojtaba. “Scene labeling with supervised contextual models.” 2014. Web. 20 Jun 2019.

Vancouver:

Seyedhosseini M. Scene labeling with supervised contextual models. [Internet] [Doctoral dissertation]. University of Utah; 2014. [cited 2019 Jun 20]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3190/rec/2135.

Council of Science Editors:

Seyedhosseini M. Scene labeling with supervised contextual models. [Doctoral Dissertation]. University of Utah; 2014. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3190/rec/2135


Universiteit Utrecht

10. Collin, G. The Connectomic Blueprint of Schizophrenia.

Degree: 2015, Universiteit Utrecht

 The foundation for the studies comprising this thesis is the notion that schizophrenia's symptoms stem from faulty integration of neural information due to disruptions in… (more)

Subjects/Keywords: Schizophrenia; Connectome; Brain Network; Familial risk; Diffusion Imaging; White matter

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APA (6th Edition):

Collin, G. (2015). The Connectomic Blueprint of Schizophrenia. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/321058

Chicago Manual of Style (16th Edition):

Collin, G. “The Connectomic Blueprint of Schizophrenia.” 2015. Doctoral Dissertation, Universiteit Utrecht. Accessed June 20, 2019. http://dspace.library.uu.nl:8080/handle/1874/321058.

MLA Handbook (7th Edition):

Collin, G. “The Connectomic Blueprint of Schizophrenia.” 2015. Web. 20 Jun 2019.

Vancouver:

Collin G. The Connectomic Blueprint of Schizophrenia. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2019 Jun 20]. Available from: http://dspace.library.uu.nl:8080/handle/1874/321058.

Council of Science Editors:

Collin G. The Connectomic Blueprint of Schizophrenia. [Doctoral Dissertation]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/321058


University of Toronto

11. Kucyi, Aaron. Intrinsic Organization and Function of Human Brain Networks Supporting the Spontaneous Dynamics of Attention and Pain.

Degree: PhD, 2014, University of Toronto

 The intrinsic dynamics of human brain activity enable us to flexibly shift our attention between the external environment and cognition unrelated to immediate sensation. The… (more)

Subjects/Keywords: attention; brain dynamics; connectome; functional connectivity; mind wandering; pain; 0317

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APA (6th Edition):

Kucyi, A. (2014). Intrinsic Organization and Function of Human Brain Networks Supporting the Spontaneous Dynamics of Attention and Pain. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/68324

Chicago Manual of Style (16th Edition):

Kucyi, Aaron. “Intrinsic Organization and Function of Human Brain Networks Supporting the Spontaneous Dynamics of Attention and Pain.” 2014. Doctoral Dissertation, University of Toronto. Accessed June 20, 2019. http://hdl.handle.net/1807/68324.

MLA Handbook (7th Edition):

Kucyi, Aaron. “Intrinsic Organization and Function of Human Brain Networks Supporting the Spontaneous Dynamics of Attention and Pain.” 2014. Web. 20 Jun 2019.

Vancouver:

Kucyi A. Intrinsic Organization and Function of Human Brain Networks Supporting the Spontaneous Dynamics of Attention and Pain. [Internet] [Doctoral dissertation]. University of Toronto; 2014. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/1807/68324.

Council of Science Editors:

Kucyi A. Intrinsic Organization and Function of Human Brain Networks Supporting the Spontaneous Dynamics of Attention and Pain. [Doctoral Dissertation]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68324

12. -7451-5937. Reconstructing the connectome from an ensemble of measurements.

Degree: Neuroscience, 2016, University of Texas – Austin

 While connectomics paradigms have been undergoing rapid development in the experimental community, the problem of analyzing the resulting data has remained largely unaddressed. Recently, the… (more)

Subjects/Keywords: Connectome; Matrix completion

…connections in the brain [49], and 'connectome', a complete description of the… …vernacular in parallel. The later paper by Sporns [122] defined the connectome at 3… …the connectome at the level of brain regions and pathways; the mesoscale, at the level of… …synapses. In the pursuit of the microscopic connectome, techniques with a nanometer level of… …x5B;16, 53], and the connectome of the C. Elegans, which is comprised of only 302… 

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APA (6th Edition):

-7451-5937. (2016). Reconstructing the connectome from an ensemble of measurements. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/38169

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

Chicago Manual of Style (16th Edition):

-7451-5937. “Reconstructing the connectome from an ensemble of measurements.” 2016. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/38169.

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

MLA Handbook (7th Edition):

-7451-5937. “Reconstructing the connectome from an ensemble of measurements.” 2016. Web. 20 Jun 2019.

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

Vancouver:

-7451-5937. Reconstructing the connectome from an ensemble of measurements. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/38169.

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

Council of Science Editors:

-7451-5937. Reconstructing the connectome from an ensemble of measurements. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/38169

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


University of California – San Francisco

13. Nguyen, Alex. Applying Deep Leaming Models on the Brain Connectome for Improving Cognitive Predictions of Parkinson's Disease.

Degree: Biomedical Imaging, 2018, University of California – San Francisco

 Parkinson’s disease (PD) is one of the most prevalent progressive, neurodegenerative disorders that affects motor and cognitive function. It is characterized by tremors, rigidity and… (more)

Subjects/Keywords: Biomedical engineering; autoencoder; connectome; deep learning; network diffusion model; Parkinson's Disease

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APA (6th Edition):

Nguyen, A. (2018). Applying Deep Leaming Models on the Brain Connectome for Improving Cognitive Predictions of Parkinson's Disease. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/5nz489rk

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):

Nguyen, Alex. “Applying Deep Leaming Models on the Brain Connectome for Improving Cognitive Predictions of Parkinson's Disease.” 2018. Thesis, University of California – San Francisco. Accessed June 20, 2019. http://www.escholarship.org/uc/item/5nz489rk.

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

MLA Handbook (7th Edition):

Nguyen, Alex. “Applying Deep Leaming Models on the Brain Connectome for Improving Cognitive Predictions of Parkinson's Disease.” 2018. Web. 20 Jun 2019.

Vancouver:

Nguyen A. Applying Deep Leaming Models on the Brain Connectome for Improving Cognitive Predictions of Parkinson's Disease. [Internet] [Thesis]. University of California – San Francisco; 2018. [cited 2019 Jun 20]. Available from: http://www.escholarship.org/uc/item/5nz489rk.

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

Council of Science Editors:

Nguyen A. Applying Deep Leaming Models on the Brain Connectome for Improving Cognitive Predictions of Parkinson's Disease. [Thesis]. University of California – San Francisco; 2018. Available from: http://www.escholarship.org/uc/item/5nz489rk

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


EPFL

14. Gigandet, Xavier. Global brain connectivity analysis by diffusion MR tractography: algorithms, validation and applications.

Degree: 2009, EPFL

 The human cerebral cortex consists of approximately 1010 neurons that are organized into a complex network of local circuits and long-range connections. During the past… (more)

Subjects/Keywords: diffusion MRI; tractography; neuroanatomy; cerebral cortex; brain networks; human connectome; IRM de diffusion; tractographie; neuro-anatomie; cortex cérébral; réseaux du cerveau; connectome humain

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APA (6th Edition):

Gigandet, X. (2009). Global brain connectivity analysis by diffusion MR tractography: algorithms, validation and applications. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/140995

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):

Gigandet, Xavier. “Global brain connectivity analysis by diffusion MR tractography: algorithms, validation and applications.” 2009. Thesis, EPFL. Accessed June 20, 2019. http://infoscience.epfl.ch/record/140995.

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

MLA Handbook (7th Edition):

Gigandet, Xavier. “Global brain connectivity analysis by diffusion MR tractography: algorithms, validation and applications.” 2009. Web. 20 Jun 2019.

Vancouver:

Gigandet X. Global brain connectivity analysis by diffusion MR tractography: algorithms, validation and applications. [Internet] [Thesis]. EPFL; 2009. [cited 2019 Jun 20]. Available from: http://infoscience.epfl.ch/record/140995.

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

Council of Science Editors:

Gigandet X. Global brain connectivity analysis by diffusion MR tractography: algorithms, validation and applications. [Thesis]. EPFL; 2009. Available from: http://infoscience.epfl.ch/record/140995

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

15. Gamanut, Andrei Razvan. How does brain size influence the network properties of the cortex? : Quelle est la corrélation entre la taille du cerveau et les propriétés du réseau cortical ?.

Degree: Docteur es, Neurosciences, 2016, Lyon

Les entrées des projections de dLGN et FB des aires corticales à L1 du V1 de la souris sont discontinues. Elles correspondent à un motif… (more)

Subjects/Keywords: Souris; Macaque; Cortex; Connectome; Poids; Règle exponentielle de la distance; Couche 1; Modules; Mouse; Macaque; Cortex; Connectome; Weights; Exponential distance rule; Layer 1; Modules; 612.8

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APA (6th Edition):

Gamanut, A. R. (2016). How does brain size influence the network properties of the cortex? : Quelle est la corrélation entre la taille du cerveau et les propriétés du réseau cortical ?. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2016LYSE1324

Chicago Manual of Style (16th Edition):

Gamanut, Andrei Razvan. “How does brain size influence the network properties of the cortex? : Quelle est la corrélation entre la taille du cerveau et les propriétés du réseau cortical ?.” 2016. Doctoral Dissertation, Lyon. Accessed June 20, 2019. http://www.theses.fr/2016LYSE1324.

MLA Handbook (7th Edition):

Gamanut, Andrei Razvan. “How does brain size influence the network properties of the cortex? : Quelle est la corrélation entre la taille du cerveau et les propriétés du réseau cortical ?.” 2016. Web. 20 Jun 2019.

Vancouver:

Gamanut AR. How does brain size influence the network properties of the cortex? : Quelle est la corrélation entre la taille du cerveau et les propriétés du réseau cortical ?. [Internet] [Doctoral dissertation]. Lyon; 2016. [cited 2019 Jun 20]. Available from: http://www.theses.fr/2016LYSE1324.

Council of Science Editors:

Gamanut AR. How does brain size influence the network properties of the cortex? : Quelle est la corrélation entre la taille du cerveau et les propriétés du réseau cortical ?. [Doctoral Dissertation]. Lyon; 2016. Available from: http://www.theses.fr/2016LYSE1324

16. Teillac, Achille. Tractographie globale sous contraintes anatomiques : Global tractography constrained by anatomical priors.

Degree: Docteur es, Imagerie et physique médicale, 2017, Paris Saclay

 Ce travail vise au développement d’une méthode d’inférence des fibres de la substance blanche cérébrale fondée sur l’utilisation d’une approche globale de type « verres… (more)

Subjects/Keywords: Connectome structurel; IRM de diffusion; Méthodes de tractographie globale; IRM microscopique; Microstructure; Structural connectome; Diffusion-weighted MRI; Global fiber tracking; MR microscopy; Microstructure

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APA (6th Edition):

Teillac, A. (2017). Tractographie globale sous contraintes anatomiques : Global tractography constrained by anatomical priors. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2017SACLS357

Chicago Manual of Style (16th Edition):

Teillac, Achille. “Tractographie globale sous contraintes anatomiques : Global tractography constrained by anatomical priors.” 2017. Doctoral Dissertation, Paris Saclay. Accessed June 20, 2019. http://www.theses.fr/2017SACLS357.

MLA Handbook (7th Edition):

Teillac, Achille. “Tractographie globale sous contraintes anatomiques : Global tractography constrained by anatomical priors.” 2017. Web. 20 Jun 2019.

Vancouver:

Teillac A. Tractographie globale sous contraintes anatomiques : Global tractography constrained by anatomical priors. [Internet] [Doctoral dissertation]. Paris Saclay; 2017. [cited 2019 Jun 20]. Available from: http://www.theses.fr/2017SACLS357.

Council of Science Editors:

Teillac A. Tractographie globale sous contraintes anatomiques : Global tractography constrained by anatomical priors. [Doctoral Dissertation]. Paris Saclay; 2017. Available from: http://www.theses.fr/2017SACLS357

17. Nezzar, Hachemi. Etude in vivo du connectome des saccades oculomotrices chez l'Homme par imagerie structurelle : In vivo study of the connectome of eye saccades in humans by structural imaging.

Degree: Docteur es, Sciences de la vie et de la sante, 2016, Clermont-Ferrand 1

 Le système visuel humain est complexe par son organisation anatomique et par son fonctionnement incomplètement élucidé. Il est fonctionnellement divisé en deux systèmes. Le premier… (more)

Subjects/Keywords: Noyaux gris centraux; Saccade occulomotrice; Maladie de Parkinson; Tremblement essentiel; Tractographie; Connectome; Basal ganglia; Saccadic eye movement; Parkinson's disease; Essential tremor; Fiber tractography; Connectome; 619

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APA (6th Edition):

Nezzar, H. (2016). Etude in vivo du connectome des saccades oculomotrices chez l'Homme par imagerie structurelle : In vivo study of the connectome of eye saccades in humans by structural imaging. (Doctoral Dissertation). Clermont-Ferrand 1. Retrieved from http://www.theses.fr/2016CLF1MM15

Chicago Manual of Style (16th Edition):

Nezzar, Hachemi. “Etude in vivo du connectome des saccades oculomotrices chez l'Homme par imagerie structurelle : In vivo study of the connectome of eye saccades in humans by structural imaging.” 2016. Doctoral Dissertation, Clermont-Ferrand 1. Accessed June 20, 2019. http://www.theses.fr/2016CLF1MM15.

MLA Handbook (7th Edition):

Nezzar, Hachemi. “Etude in vivo du connectome des saccades oculomotrices chez l'Homme par imagerie structurelle : In vivo study of the connectome of eye saccades in humans by structural imaging.” 2016. Web. 20 Jun 2019.

Vancouver:

Nezzar H. Etude in vivo du connectome des saccades oculomotrices chez l'Homme par imagerie structurelle : In vivo study of the connectome of eye saccades in humans by structural imaging. [Internet] [Doctoral dissertation]. Clermont-Ferrand 1; 2016. [cited 2019 Jun 20]. Available from: http://www.theses.fr/2016CLF1MM15.

Council of Science Editors:

Nezzar H. Etude in vivo du connectome des saccades oculomotrices chez l'Homme par imagerie structurelle : In vivo study of the connectome of eye saccades in humans by structural imaging. [Doctoral Dissertation]. Clermont-Ferrand 1; 2016. Available from: http://www.theses.fr/2016CLF1MM15


University of Washington

18. Kunert, James Michael. Functionality, Robustness and Control of Nonlinear Network Dynamics: Modeling and Understanding the C. elegans Connectome.

Degree: PhD, 2016, University of Washington

 Networks of many nonlinearly-coupled dynamical components are ubiquitous in the physical sciences, but often difficult to characterize. However, their dynamics are often low-dimensional, being dominated… (more)

Subjects/Keywords: C. elegans; Computational Neuroscience; Connectome; Dimensionality Reduction; Networks; Nonlinear Dynamics; Physics; Neurosciences; Applied mathematics; physics

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APA (6th Edition):

Kunert, J. M. (2016). Functionality, Robustness and Control of Nonlinear Network Dynamics: Modeling and Understanding the C. elegans Connectome. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/36811

Chicago Manual of Style (16th Edition):

Kunert, James Michael. “Functionality, Robustness and Control of Nonlinear Network Dynamics: Modeling and Understanding the C. elegans Connectome.” 2016. Doctoral Dissertation, University of Washington. Accessed June 20, 2019. http://hdl.handle.net/1773/36811.

MLA Handbook (7th Edition):

Kunert, James Michael. “Functionality, Robustness and Control of Nonlinear Network Dynamics: Modeling and Understanding the C. elegans Connectome.” 2016. Web. 20 Jun 2019.

Vancouver:

Kunert JM. Functionality, Robustness and Control of Nonlinear Network Dynamics: Modeling and Understanding the C. elegans Connectome. [Internet] [Doctoral dissertation]. University of Washington; 2016. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/1773/36811.

Council of Science Editors:

Kunert JM. Functionality, Robustness and Control of Nonlinear Network Dynamics: Modeling and Understanding the C. elegans Connectome. [Doctoral Dissertation]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/36811


Macquarie University

19. Le, Sheng. Functional properties, neurochemistry and connectivity of medullary neural networks that control breathing and circulation.

Degree: 2016, Macquarie University

Empirical thesis.

Bibliography: pages 144-188.

1. Introduction  – 2. Recording, labelling and transfection of single neurons in deep brain structures  – 3. Somatostatin 2a receptors… (more)

Subjects/Keywords: Neurons  – Physiology; Neurons  – Ultrastructure; Medulla oblongata  – Physiology; connectome; autonomic neuroscience; respiration; cardiovascular control

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APA (6th Edition):

Le, S. (2016). Functional properties, neurochemistry and connectivity of medullary neural networks that control breathing and circulation. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/1254517

Chicago Manual of Style (16th Edition):

Le, Sheng. “Functional properties, neurochemistry and connectivity of medullary neural networks that control breathing and circulation.” 2016. Doctoral Dissertation, Macquarie University. Accessed June 20, 2019. http://hdl.handle.net/1959.14/1254517.

MLA Handbook (7th Edition):

Le, Sheng. “Functional properties, neurochemistry and connectivity of medullary neural networks that control breathing and circulation.” 2016. Web. 20 Jun 2019.

Vancouver:

Le S. Functional properties, neurochemistry and connectivity of medullary neural networks that control breathing and circulation. [Internet] [Doctoral dissertation]. Macquarie University; 2016. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/1959.14/1254517.

Council of Science Editors:

Le S. Functional properties, neurochemistry and connectivity of medullary neural networks that control breathing and circulation. [Doctoral Dissertation]. Macquarie University; 2016. Available from: http://hdl.handle.net/1959.14/1254517


Universitat Pompeu Fabra

20. Khandelwal, Avinash, 1987-. The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva.

Degree: Departament de Ciències Experimentals i de la Salut, 2017, Universitat Pompeu Fabra

 Las larvas de Drosophila ofrecen una oportunidad única para el mapeo anatómico y funcional de su sistema nervioso debido a propiedades como la simplicidad numérica… (more)

Subjects/Keywords: Chemotaxis; Antennal lobe; Drosophila; Electron Microscopy; Connectome; Quimiotaxis; Lóbulo antennal; Drosophila; Microscopia electronica; Conectoma; 616.8

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APA (6th Edition):

Khandelwal, Avinash, 1. (2017). The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/663806

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):

Khandelwal, Avinash, 1987-. “The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva.” 2017. Thesis, Universitat Pompeu Fabra. Accessed June 20, 2019. http://hdl.handle.net/10803/663806.

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

MLA Handbook (7th Edition):

Khandelwal, Avinash, 1987-. “The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva.” 2017. Web. 20 Jun 2019.

Vancouver:

Khandelwal, Avinash 1. The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva. [Internet] [Thesis]. Universitat Pompeu Fabra; 2017. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/10803/663806.

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

Council of Science Editors:

Khandelwal, Avinash 1. The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva. [Thesis]. Universitat Pompeu Fabra; 2017. Available from: http://hdl.handle.net/10803/663806

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


Texas A&M University

21. Lusher II, John David. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.

Degree: PhD, Electrical Engineering, 2018, Texas A&M University

 Brain connectivity networks help physicians better understand the neurological effects of certain diseases and make improved treatment options for patients. Voxel-to-Voxel Correlation Analysis (VVCA) of… (more)

Subjects/Keywords: Brain Functional Connectivity; fMRI; Seed-based Correlation Analysis; FPGA-based Parallel Computing; Human Connectome Project

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APA (6th Edition):

Lusher II, J. D. (2018). High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173805

Chicago Manual of Style (16th Edition):

Lusher II, John David. “High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.” 2018. Doctoral Dissertation, Texas A&M University. Accessed June 20, 2019. http://hdl.handle.net/1969.1/173805.

MLA Handbook (7th Edition):

Lusher II, John David. “High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.” 2018. Web. 20 Jun 2019.

Vancouver:

Lusher II JD. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/1969.1/173805.

Council of Science Editors:

Lusher II JD. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173805


Texas A&M University

22. Lusher II, John David. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.

Degree: PhD, Electrical Engineering, 2018, Texas A&M University

 Brain connectivity networks help physicians better understand the neurological effects of certain diseases and make improved treatment options for patients. Voxel-to-Voxel Correlation Analysis (VVCA) of… (more)

Subjects/Keywords: Brain Functional Connectivity; fMRI; Seed-based Correlation Analysis; FPGA-based Parallel Computing; Human Connectome Project

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APA (6th Edition):

Lusher II, J. D. (2018). High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173710

Chicago Manual of Style (16th Edition):

Lusher II, John David. “High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.” 2018. Doctoral Dissertation, Texas A&M University. Accessed June 20, 2019. http://hdl.handle.net/1969.1/173710.

MLA Handbook (7th Edition):

Lusher II, John David. “High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data.” 2018. Web. 20 Jun 2019.

Vancouver:

Lusher II JD. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/1969.1/173710.

Council of Science Editors:

Lusher II JD. High-Performance Correlation and Mapping Engine for Rapid Generating Brain Connectivity Networks from Big fMRI Data. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173710


University of Cambridge

23. Váša, František. Characterising disease-related and developmental changes in correlation-derived structural and functional brain networks.

Degree: PhD, 2018, University of Cambridge

 Human structural and functional brain architecture is increasingly studied by applying the mathematical framework of complex networks to data from magnetic resonance imaging. Connections (edges)… (more)

Subjects/Keywords: neuroimaging; connectome; brain; network; MRI; adolescence; development; schizophrenia; graph theory; magnetic resonance imaging; correlation

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APA (6th Edition):

Váša, F. (2018). Characterising disease-related and developmental changes in correlation-derived structural and functional brain networks. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/277816 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753326

Chicago Manual of Style (16th Edition):

Váša, František. “Characterising disease-related and developmental changes in correlation-derived structural and functional brain networks.” 2018. Doctoral Dissertation, University of Cambridge. Accessed June 20, 2019. https://www.repository.cam.ac.uk/handle/1810/277816 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753326.

MLA Handbook (7th Edition):

Váša, František. “Characterising disease-related and developmental changes in correlation-derived structural and functional brain networks.” 2018. Web. 20 Jun 2019.

Vancouver:

Váša F. Characterising disease-related and developmental changes in correlation-derived structural and functional brain networks. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2019 Jun 20]. Available from: https://www.repository.cam.ac.uk/handle/1810/277816 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753326.

Council of Science Editors:

Váša F. Characterising disease-related and developmental changes in correlation-derived structural and functional brain networks. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/277816 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753326


University of Minnesota

24. Wang, Hui. Multi-contrast optical coherence tomography for brain imaging and mapping.

Degree: PhD, Biomedical Engineering, 2014, University of Minnesota

 Although our knowledge of neuronal function and regional activity has been tremendously enriched in the past decades, coordination of these neurons to form the complex… (more)

Subjects/Keywords: Connectome; High-resolution; Human brain; Large-scale; Light polarization; Neuroimaging; Biomedical engineering

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APA (6th Edition):

Wang, H. (2014). Multi-contrast optical coherence tomography for brain imaging and mapping. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/167660

Chicago Manual of Style (16th Edition):

Wang, Hui. “Multi-contrast optical coherence tomography for brain imaging and mapping.” 2014. Doctoral Dissertation, University of Minnesota. Accessed June 20, 2019. http://hdl.handle.net/11299/167660.

MLA Handbook (7th Edition):

Wang, Hui. “Multi-contrast optical coherence tomography for brain imaging and mapping.” 2014. Web. 20 Jun 2019.

Vancouver:

Wang H. Multi-contrast optical coherence tomography for brain imaging and mapping. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11299/167660.

Council of Science Editors:

Wang H. Multi-contrast optical coherence tomography for brain imaging and mapping. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/167660


Wayne State University

25. Broadbent, Brandy. Raman Spectroscopy Applications In Brain Tumors & Preliminary Look Into Fractal Scaffold For Gbm Model.

Degree: PhD, Biomedical Engineering, 2018, Wayne State University

  Raman spectroscopy is experiencing a resurgence of interest due to the ubiquitous use of lasers, ever growing computing power, and machine learning. Brain tumor… (more)

Subjects/Keywords: Machine Learning; Micro-connectome; Micro-fabrication; Raman mapping; Raman Spectrometry; Support Vector Machine

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APA (6th Edition):

Broadbent, B. (2018). Raman Spectroscopy Applications In Brain Tumors & Preliminary Look Into Fractal Scaffold For Gbm Model. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/2015

Chicago Manual of Style (16th Edition):

Broadbent, Brandy. “Raman Spectroscopy Applications In Brain Tumors & Preliminary Look Into Fractal Scaffold For Gbm Model.” 2018. Doctoral Dissertation, Wayne State University. Accessed June 20, 2019. https://digitalcommons.wayne.edu/oa_dissertations/2015.

MLA Handbook (7th Edition):

Broadbent, Brandy. “Raman Spectroscopy Applications In Brain Tumors & Preliminary Look Into Fractal Scaffold For Gbm Model.” 2018. Web. 20 Jun 2019.

Vancouver:

Broadbent B. Raman Spectroscopy Applications In Brain Tumors & Preliminary Look Into Fractal Scaffold For Gbm Model. [Internet] [Doctoral dissertation]. Wayne State University; 2018. [cited 2019 Jun 20]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/2015.

Council of Science Editors:

Broadbent B. Raman Spectroscopy Applications In Brain Tumors & Preliminary Look Into Fractal Scaffold For Gbm Model. [Doctoral Dissertation]. Wayne State University; 2018. Available from: https://digitalcommons.wayne.edu/oa_dissertations/2015


University of Southern California

26. Chang, Yu-Teng. Network structures: graph theory, statistics, and neuroscience applications.

Degree: PhD, Electrical Engineering, 2012, University of Southern California

 Network modeling and graph theory have been widely studied and applied in a variety of modern research areas. The detection of network structures in these… (more)

Subjects/Keywords: brain connectome; graph theory; modularity; network structures; random matrix theory; statistical significance

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APA (6th Edition):

Chang, Y. (2012). Network structures: graph theory, statistics, and neuroscience applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/39102/rec/4361

Chicago Manual of Style (16th Edition):

Chang, Yu-Teng. “Network structures: graph theory, statistics, and neuroscience applications.” 2012. Doctoral Dissertation, University of Southern California. Accessed June 20, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/39102/rec/4361.

MLA Handbook (7th Edition):

Chang, Yu-Teng. “Network structures: graph theory, statistics, and neuroscience applications.” 2012. Web. 20 Jun 2019.

Vancouver:

Chang Y. Network structures: graph theory, statistics, and neuroscience applications. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Jun 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/39102/rec/4361.

Council of Science Editors:

Chang Y. Network structures: graph theory, statistics, and neuroscience applications. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/39102/rec/4361


University of California – San Francisco

27. Zhu, Alan. Evaluation of Structural Connectome Models and Network Diffusion in Predicting Cortical Atrophy in Alzheimer’s Disease Spectrum.

Degree: Biomedical Imaging, 2016, University of California – San Francisco

 Alzheimer’s Disease (AD) is one of the most common forms of dementia, yet the exact mechanisms by which it operates and progresses through the brain… (more)

Subjects/Keywords: Neurosciences; Biomedical engineering; Mathematics; ADNI; Alzheimer's Disease; Connectome; Diffusion-Weighted MRI; Grey Matter; Neuroimaging

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

APA (6th Edition):

Zhu, A. (2016). Evaluation of Structural Connectome Models and Network Diffusion in Predicting Cortical Atrophy in Alzheimer’s Disease Spectrum. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/1bp6673j

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):

Zhu, Alan. “Evaluation of Structural Connectome Models and Network Diffusion in Predicting Cortical Atrophy in Alzheimer’s Disease Spectrum.” 2016. Thesis, University of California – San Francisco. Accessed June 20, 2019. http://www.escholarship.org/uc/item/1bp6673j.

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

MLA Handbook (7th Edition):

Zhu, Alan. “Evaluation of Structural Connectome Models and Network Diffusion in Predicting Cortical Atrophy in Alzheimer’s Disease Spectrum.” 2016. Web. 20 Jun 2019.

Vancouver:

Zhu A. Evaluation of Structural Connectome Models and Network Diffusion in Predicting Cortical Atrophy in Alzheimer’s Disease Spectrum. [Internet] [Thesis]. University of California – San Francisco; 2016. [cited 2019 Jun 20]. Available from: http://www.escholarship.org/uc/item/1bp6673j.

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

Council of Science Editors:

Zhu A. Evaluation of Structural Connectome Models and Network Diffusion in Predicting Cortical Atrophy in Alzheimer’s Disease Spectrum. [Thesis]. University of California – San Francisco; 2016. Available from: http://www.escholarship.org/uc/item/1bp6673j

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


University of California – San Francisco

28. Yeh, Joy. Changes in Structural Networks after Radiation Therapy in Patients with Brain Tumors.

Degree: Biomedical Imaging, 2016, University of California – San Francisco

 Introduction - Radiation therapy (RT) received by brain tumor patients after tumor resection can affect brain connectivity in various degrees. Structural connectivity changes in brain… (more)

Subjects/Keywords: Medical imaging; Medicine; Neurosciences; glioma; MRI; radiation; structural connectome; tumor; white matter

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

APA (6th Edition):

Yeh, J. (2016). Changes in Structural Networks after Radiation Therapy in Patients with Brain Tumors. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/3zh3p4xz

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):

Yeh, Joy. “Changes in Structural Networks after Radiation Therapy in Patients with Brain Tumors.” 2016. Thesis, University of California – San Francisco. Accessed June 20, 2019. http://www.escholarship.org/uc/item/3zh3p4xz.

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

MLA Handbook (7th Edition):

Yeh, Joy. “Changes in Structural Networks after Radiation Therapy in Patients with Brain Tumors.” 2016. Web. 20 Jun 2019.

Vancouver:

Yeh J. Changes in Structural Networks after Radiation Therapy in Patients with Brain Tumors. [Internet] [Thesis]. University of California – San Francisco; 2016. [cited 2019 Jun 20]. Available from: http://www.escholarship.org/uc/item/3zh3p4xz.

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

Council of Science Editors:

Yeh J. Changes in Structural Networks after Radiation Therapy in Patients with Brain Tumors. [Thesis]. University of California – San Francisco; 2016. Available from: http://www.escholarship.org/uc/item/3zh3p4xz

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


University of Cambridge

29. Johnson, Amy. The Environment and Child Development: A Multivariate Approach .

Degree: 2019, University of Cambridge

 The environment that a child grows up in has a profound effect on their child development. For example, key outcomes such as academic ability or… (more)

Subjects/Keywords: Child Development; Neuroscience; Cognition; Cognitive; Partial Least Squares; PLS; Multiple Imputation; Poverty; Socioeconomic Status; SES; MRI; Magnetic Resonance Imaging; MEG; Magnetoencephalography; Connectome; Functional Connectome; Structural Connectome; Academic; Behaviour; Woodcock-Johnson; BRIEF; SDQ; Working Memory; Fluid Intelligence; Verbal Intelligence; Phonological; Diffusion Tensor Imaging; Resting State

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

APA (6th Edition):

Johnson, A. (2019). The Environment and Child Development: A Multivariate Approach . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/292061

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):

Johnson, Amy. “The Environment and Child Development: A Multivariate Approach .” 2019. Thesis, University of Cambridge. Accessed June 20, 2019. https://www.repository.cam.ac.uk/handle/1810/292061.

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

MLA Handbook (7th Edition):

Johnson, Amy. “The Environment and Child Development: A Multivariate Approach .” 2019. Web. 20 Jun 2019.

Vancouver:

Johnson A. The Environment and Child Development: A Multivariate Approach . [Internet] [Thesis]. University of Cambridge; 2019. [cited 2019 Jun 20]. Available from: https://www.repository.cam.ac.uk/handle/1810/292061.

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

Council of Science Editors:

Johnson A. The Environment and Child Development: A Multivariate Approach . [Thesis]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/292061

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


Universiteit Utrecht

30. Reus, M.A. de. An eccentric perspective on brain networks.

Degree: 2015, Universiteit Utrecht

 The adult human brain comprises an estimated number of 80-100 billion neurons. These neurons do not operate independently, but are interconnected to each other through… (more)

Subjects/Keywords: brain; connectome; network; graph theory; diffusion MRI; tractography; edge-centric; rich club; link communities; Laplacian spectrum

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

APA (6th Edition):

Reus, M. A. d. (2015). An eccentric perspective on brain networks. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/320973

Chicago Manual of Style (16th Edition):

Reus, M A de. “An eccentric perspective on brain networks.” 2015. Doctoral Dissertation, Universiteit Utrecht. Accessed June 20, 2019. http://dspace.library.uu.nl:8080/handle/1874/320973.

MLA Handbook (7th Edition):

Reus, M A de. “An eccentric perspective on brain networks.” 2015. Web. 20 Jun 2019.

Vancouver:

Reus MAd. An eccentric perspective on brain networks. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2019 Jun 20]. Available from: http://dspace.library.uu.nl:8080/handle/1874/320973.

Council of Science Editors:

Reus MAd. An eccentric perspective on brain networks. [Doctoral Dissertation]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/320973

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