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Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants

Abstract:

Background: Clinically approved antidepressants modulate the brain's emotional valence circuits, suggesting that the response of these circuits could serve as a biomarker for screening candidate antidepressant drugs. However, it is necessary that these modulations can be reliably detected. Here, we apply a cross-validated predictive model to classify emotional valence and pharmacologic effect across eleven task-based fMRI datasets (n = 306) exploring the effect of antidepressant administratio...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.nicl.2018.08.016

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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
ORCID:
0000-0001-9108-3144
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Institution:
University of Oxford
Division:
Medical Sciences
Department:
Psychiatry
Role:
Author
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Funding agency for:
Browning, M
Grant:
MR/N008103/1
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Funding agency for:
Duff, E
Grant:
319456
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Funding agency for:
Duff, E
Grant:
319456
Publisher:
Elsevier Publisher's website
Journal:
NeuroImage: Clinical Journal website
Volume:
20
Pages:
407-414
Publication date:
2018-08-11
Acceptance date:
2018-08-09
DOI:
EISSN:
2213-1582
Pmid:
30128279
Language:
English
Keywords:
Pubs id:
pubs:909956
UUID:
uuid:64254bf3-023f-40c2-9b5e-b8a3d8dd77fd
Local pid:
pubs:909956
Deposit date:
2018-08-28

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