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Stable between-subject statistical inference from unstable within-subject functional connectivity estimates

Abstract:

Spatial or temporal aspects of neural organization are known to be important indices of how cognition is organized. However, measurements and estimations are often noisy and many of the algorithms used are probabilistic, which in combination have been argued to limit studies exploring the neural basis of specific aspects of cognition. Focusing on static and dynamic functional connectivity estimations, we propose to leverage this variability to improve statistical efficiency in relating these ...

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

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Publisher copy:
10.1002/hbm.24442

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
Winkler, A More by this author
Karapanagiotidis, T More by this author
Smallwood, J More by this author
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Funding agency for:
Vidaurre, D
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Funding agency for:
Woolrich, M
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Funding agency for:
Woolrich, M
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Funding agency for:
Nichols, TEP
Publisher:
John Wiley and Sons, Inc. Publisher's website
Journal:
Human Brain Mapping Journal website
Volume:
40
Issue:
4
Pages:
1234-1243
Publication date:
2018-10-25
Acceptance date:
2018-10-17
DOI:
EISSN:
1097-0193
ISSN:
1065-9471
Pubs id:
pubs:929166
URN:
uri:b99a6541-119b-4d1e-b0bd-50b1f2a4769d
UUID:
uuid:b99a6541-119b-4d1e-b0bd-50b1f2a4769d
Local pid:
pubs:929166

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