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Discovering dynamic brain networks from big data in rest and task

Abstract:

Brain activity is a dynamic combination of the responses to sensory inputs and its own spontaneous processing. Consequently, such brain activity is continuously changing whether or not one is focusing on an externally imposed task. Previously, we have introduced an analysis method that allows us, using Hidden Markov Models (HMM), to model task or rest brain activity as a dynamic sequence of distinct brain networks, overcoming many of the limitations posed by sliding window approaches. Here, w...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1016/j.neuroimage.2017.06.077

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Department:
St Edmund Hall
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Author
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Department:
Oxford, MSD, Psychiatry
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Author
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Department:
Oxford, MSD, Psychiatry
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Author
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Department:
Oxford, MSD, Psychiatry
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Author
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Department:
Oxford, MSD, Clinical Neurosciences
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Author
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Funding agency for:
Vidaurre, D
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Funding agency for:
Woolrich, MW
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Funding agency for:
Woolrich, MW
Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
180
Issue:
B
Pages:
646-656
Publication date:
2017-06-28
Acceptance date:
2017-06-29
DOI:
ISSN:
1053-8119
Pubs id:
pubs:707823
URN:
uri:86678704-f293-4a95-a392-5922b259cdad
UUID:
uuid:86678704-f293-4a95-a392-5922b259cdad
Local pid:
pubs:707823
Language:
English
Keywords:

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