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Journal article

Insights into brain architectures from the homological scaffolds of functional connectivity networks

Abstract:: In recent years, the application of network analysis to neuroimaging data has provided useful insights about the brain’s functional and structural organization in both health and disease. This has proven a significant paradigm shift from the study of individual brain regions in isolation. Graph-based models of the brain consist of vertices, which represent distinct brain areas, and edges which encode the presence (or absence) of a structural or functional relationship between each pair of ver...
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APA Style

Lord, L., Expert, P., Fernandes, H., Petri, G., Van Hartevelt, T., Vaccarino, F., Deco, G., Turkheimer, F., & Kringelbach, M. (2016). Insights into brain architectures from the homological scaffolds of functional connectivity networks. Frontiers in Systems Neuroscience.

MLA Style

Lord, L., et al. “Insights into Brain Architectures from the Homological Scaffolds of Functional Connectivity Networks.” Frontiers in Systems Neuroscience, 2016.

Chicago Style

Lord, L, P Expert, H Fernandes, G Petri, T Van Hartevelt, F Vaccarino, G Deco, F Turkheimer, and M Kringelbach. 2016. “Insights into Brain Architectures from the Homological Scaffolds of Functional Connectivity Networks.” Frontiers in Systems Neuroscience.
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Files:: Lord_2016_fnsys_Insigh...

(Version of record, pdf, 2.5MB)

Publisher copy:: 10.3389/fnsys.2016.00085

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+ Lord, L More by this author

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+ Expert, P More by this author

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+ Fernandes, H More by this author

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+ Petri, G More by this author

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+ Van Hartevelt, T More by this author

Institution:

University of Oxford

Division:

MSD

Department:

Psychiatry

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Bibliographic Details

Journal:: Frontiers in Systems Neuroscience
Publication date:: 2016-11-08
Acceptance date:: 2016-10-20
DOI:: 10.3389/fnsys.2016.00085
ISSN:: 1662-5137

Item Description

Pubs id:: pubs:655583
UUID:: uuid:036abb83-b61c-41a3-b473-8ff438f1107d
Local pid:: pubs:655583
Source identifiers:: 655583
Deposit date:: 2016-11-15

Terms of use

Copyright date:: 2016

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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