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Journal article

Optimising network modelling methods for fMRI

Abstract:

A major goal of neuroimaging studies is to develop predictive models to analyze the relationship between whole brain functional connectivity patterns and behavioural traits. However, there is no single widely-accepted standard pipeline for analyzing functional connectivity. The common procedure for designing functional connectivity based predictive models entails three main steps: parcellating the brain, estimating the interaction between defined parcels, and lastly, using these integrated as...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuroimage.2020.116604

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More from this funder
Name:
Wellcome Trust
Grant:
203139/Z/16/Z
203141/Z/16/Z
106183/Z/14/Z
More from this funder
Name:
Novo Nordisk A/S
Grant:
cms
More from this funder
Name:
Medical Research Council
Grant:
MC_PC_17215
Publisher:
Elsevier
Journal:
NeuroImage More from this journal
Volume:
211
Article number:
116604
Publication date:
2020-02-13
Acceptance date:
2020-02-01
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Pmid:
32062083
Language:
English
Keywords:
Pubs id:
1088350
Local pid:
pubs:1088350
Deposit date:
2020-02-26

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