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Modelling subject variability in the spatial and temporal characteristics of functional modes

Abstract:

Recent work has highlighted the scale and ubiquity of subject variability in observations from functional MRI data (fMRI). Furthermore, it is highly likely that errors in the estimation of either the spatial presentation of, or the coupling between, functional regions can confound cross-subject analyses, making accurate and unbiased representations of functional data essential for interpreting any downstream analyses. Here, we extend the framework of probabilistic functional modes (PFMs) (Har...

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Publication status:
Published
Peer review status:
Peer reviewed

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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
ORCID:
0000-0001-8364-6509
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More from this funder
Name:
Wellcome Trust
Grant:
106183/Z/14/Z
098369/Z/12/Z
More from this funder
Name:
Medical Research Council
Grant:
RG94383/RG89702
Publisher:
Elsevier
Journal:
NeuroImage More from this journal
Volume:
222
Article number:
117226
Publication date:
2020-08-06
Acceptance date:
2020-07-30
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Pmid:
32771617
Language:
English
Keywords:
Pubs id:
1126249
Local pid:
pubs:1126249
Deposit date:
2020-09-01

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