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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
Version:
Accepted Manuscript

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Publisher copy:
10.1016/j.neuron.2014.08.034

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Department:
Oxford, MSD, Psychiatry
Publisher:
Elsevier Publisher's website
Journal:
Neuron Journal website
Publication date:
2014-12-03
DOI:
ISSN:
0896-6273 and 1097-4199
Pubs id:
pubs:493500
URN:
uri:883e10c9-af80-491c-94b3-c070f14a24e9
UUID:
uuid:883e10c9-af80-491c-94b3-c070f14a24e9
Local pid:
pubs:493500
Language:
English
Keywords:

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