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Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders

Abstract:

The study of human brain networks with in vivo neuroimaging has given rise to the field of connectomics, furthered by advances in network science and graph theory informing our understanding of the topology and function of the healthy brain. Here our focus is on the disruption in neuropsychiatric disorders (pathoconnectomics) and how whole-brain computational models can help generate and predict the dynamical interactions and consequences of brain networks over many timescales. We review meth...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuron.2014.08.034

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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
Publisher:
Elsevier Publisher's website
Journal:
Neuron Journal website
Publication date:
2014-12-03
DOI:
ISSN:
1097-4199 and 0896-6273
Pmid:
25475184
Source identifiers:
493500
Language:
English
Keywords:
Pubs id:
pubs:493500
UUID:
uuid:883e10c9-af80-491c-94b3-c070f14a24e9
Local pid:
pubs:493500
Deposit date:
2016-12-20

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