A predictive approach to identify clinical state, emotional valence and pharmacologic effect in human task-based fMRI data
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. Here, we apply a cross-validated predictive model to classify clinical state, emotional valence...
| Main Authors: | , , , , , |
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| Format: | Conference item |
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Elsevier
2018
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| _version_ | 1797084559800532992 |
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| author | Barron, D Salehi, M Browning, M Harmer, C Constable, T Duff, E |
| author_facet | Barron, D Salehi, M Browning, M Harmer, C Constable, T Duff, E |
| author_sort | Barron, D |
| collection | OXFORD |
| description | 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. Here, we apply a cross-validated predictive model to classify clinical state, emotional valence, and pharmacologic effect across eight task-based fMRI studies (n=306) of the effect of antidepressant administration on emotional face processing. |
| first_indexed | 2024-03-07T01:56:50Z |
| format | Conference item |
| id | oxford-uuid:9bfbc41e-4722-4f3d-ada1-137e06b9a2e2 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T01:56:50Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:9bfbc41e-4722-4f3d-ada1-137e06b9a2e22022-03-27T00:33:02ZA predictive approach to identify clinical state, emotional valence and pharmacologic effect in human task-based fMRI dataConference itemhttp://purl.org/coar/resource_type/c_5794uuid:9bfbc41e-4722-4f3d-ada1-137e06b9a2e2Symplectic Elements at OxfordElsevier2018Barron, DSalehi, MBrowning, MHarmer, CConstable, TDuff, EClinically 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. Here, we apply a cross-validated predictive model to classify clinical state, emotional valence, and pharmacologic effect across eight task-based fMRI studies (n=306) of the effect of antidepressant administration on emotional face processing. |
| spellingShingle | Barron, D Salehi, M Browning, M Harmer, C Constable, T Duff, E A predictive approach to identify clinical state, emotional valence and pharmacologic effect in human task-based fMRI data |
| title | A predictive approach to identify clinical state, emotional valence and pharmacologic effect in human task-based fMRI data |
| title_full | A predictive approach to identify clinical state, emotional valence and pharmacologic effect in human task-based fMRI data |
| title_fullStr | A predictive approach to identify clinical state, emotional valence and pharmacologic effect in human task-based fMRI data |
| title_full_unstemmed | A predictive approach to identify clinical state, emotional valence and pharmacologic effect in human task-based fMRI data |
| title_short | A predictive approach to identify clinical state, emotional valence and pharmacologic effect in human task-based fMRI data |
| title_sort | predictive approach to identify clinical state emotional valence and pharmacologic effect in human task based fmri data |
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