The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse

Abstract The risk of relapsing into depression after stopping antidepressants is high, but no established predictors exist. Resting-state functional magnetic resonance imaging (rsfMRI) measures may help predict relapse and identify the mechanisms by which relapses occur. rsfMRI data were acquired fr...

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Autores principales: Isabel M. Berwian, Julia G. Wenzel, Leonie Kuehn, Inga Schnuerer, Lars Kasper, Ilya M. Veer, Erich Seifritz, Klaas E. Stephan, Henrik Walter, Quentin J. M. Huys
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Publicado: Nature Portfolio 2020
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spelling oai:doaj.org-article:ca941e685b1f456ba5afe95111594b482021-12-02T13:33:59ZThe relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse10.1038/s41598-020-79170-92045-2322https://doaj.org/article/ca941e685b1f456ba5afe95111594b482020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79170-9https://doaj.org/toc/2045-2322Abstract The risk of relapsing into depression after stopping antidepressants is high, but no established predictors exist. Resting-state functional magnetic resonance imaging (rsfMRI) measures may help predict relapse and identify the mechanisms by which relapses occur. rsfMRI data were acquired from healthy controls and from patients with remitted major depressive disorder on antidepressants. Patients were assessed a second time either before or after discontinuation of the antidepressant, and followed up for six months to assess relapse. A seed-based functional connectivity analysis was conducted focusing on the left subgenual anterior cingulate cortex and left posterior cingulate cortex. Seeds in the amygdala and dorsolateral prefrontal cortex were explored. 44 healthy controls (age: 33.8 (10.5), 73% female) and 84 patients (age: 34.23 (10.8), 80% female) were included in the analysis. 29 patients went on to relapse and 38 remained well. The seed-based analysis showed that discontinuation resulted in an increased functional connectivity between the right dorsolateral prefrontal cortex and the parietal cortex in non-relapsers. In an exploratory analysis, this functional connectivity predicted relapse risk with a balanced accuracy of 0.86. Further seed-based analyses, however, failed to reveal differences in functional connectivity between patients and controls, between relapsers and non-relapsers before discontinuation and changes due to discontinuation independent of relapse. In conclusion, changes in the connectivity between the dorsolateral prefrontal cortex and the posterior default mode network were associated with and predictive of relapse after open-label antidepressant discontinuation. This finding requires replication in a larger dataset.Isabel M. BerwianJulia G. WenzelLeonie KuehnInga SchnuererLars KasperIlya M. VeerErich SeifritzKlaas E. StephanHenrik WalterQuentin J. M. HuysNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Isabel M. Berwian
Julia G. Wenzel
Leonie Kuehn
Inga Schnuerer
Lars Kasper
Ilya M. Veer
Erich Seifritz
Klaas E. Stephan
Henrik Walter
Quentin J. M. Huys
The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse
description Abstract The risk of relapsing into depression after stopping antidepressants is high, but no established predictors exist. Resting-state functional magnetic resonance imaging (rsfMRI) measures may help predict relapse and identify the mechanisms by which relapses occur. rsfMRI data were acquired from healthy controls and from patients with remitted major depressive disorder on antidepressants. Patients were assessed a second time either before or after discontinuation of the antidepressant, and followed up for six months to assess relapse. A seed-based functional connectivity analysis was conducted focusing on the left subgenual anterior cingulate cortex and left posterior cingulate cortex. Seeds in the amygdala and dorsolateral prefrontal cortex were explored. 44 healthy controls (age: 33.8 (10.5), 73% female) and 84 patients (age: 34.23 (10.8), 80% female) were included in the analysis. 29 patients went on to relapse and 38 remained well. The seed-based analysis showed that discontinuation resulted in an increased functional connectivity between the right dorsolateral prefrontal cortex and the parietal cortex in non-relapsers. In an exploratory analysis, this functional connectivity predicted relapse risk with a balanced accuracy of 0.86. Further seed-based analyses, however, failed to reveal differences in functional connectivity between patients and controls, between relapsers and non-relapsers before discontinuation and changes due to discontinuation independent of relapse. In conclusion, changes in the connectivity between the dorsolateral prefrontal cortex and the posterior default mode network were associated with and predictive of relapse after open-label antidepressant discontinuation. This finding requires replication in a larger dataset.
format article
author Isabel M. Berwian
Julia G. Wenzel
Leonie Kuehn
Inga Schnuerer
Lars Kasper
Ilya M. Veer
Erich Seifritz
Klaas E. Stephan
Henrik Walter
Quentin J. M. Huys
author_facet Isabel M. Berwian
Julia G. Wenzel
Leonie Kuehn
Inga Schnuerer
Lars Kasper
Ilya M. Veer
Erich Seifritz
Klaas E. Stephan
Henrik Walter
Quentin J. M. Huys
author_sort Isabel M. Berwian
title The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse
title_short The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse
title_full The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse
title_fullStr The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse
title_full_unstemmed The relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse
title_sort relationship between resting-state functional connectivity, antidepressant discontinuation and depression relapse
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/ca941e685b1f456ba5afe95111594b48
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