Amygdala Reactivity, Antidepressant Discontinuation, and Relapse.


Journal

JAMA psychiatry
ISSN: 2168-6238
Titre abrégé: JAMA Psychiatry
Pays: United States
ID NLM: 101589550

Informations de publication

Date de publication:
11 Sep 2024
Historique:
medline: 11 9 2024
pubmed: 11 9 2024
entrez: 11 9 2024
Statut: aheadofprint

Résumé

Antidepressant discontinuation substantially increases the risk of a depression relapse, but the neurobiological mechanisms through which this happens are not known. Amygdala reactivity to negative information is a marker of negative affective processes in depression that is reduced by antidepressant medication, but it is unknown whether amygdala reactivity is sensitive to antidepressant discontinuation or whether any change is related to the risk of relapse after antidepressant discontinuation. To investigate whether amygdala reactivity to negative facial emotions changes with antidepressant discontinuation and is associated with subsequent relapse. The Antidepressiva Absetzstudie (AIDA) study was a longitudinal, observational study in which adult patients with remitted major depressive disorder (MDD) and currently taking antidepressants underwent 2 task-based functional magnetic resonance imaging (fMRI) measurements of amygdala reactivity. Patients were randomized to discontinuing antidepressants either before or after the second fMRI measurement. Relapse was monitored over a 6-month follow-up period. Study recruitment took place from June 2015 to January 2018. Data were collected between July 1, 2015, and January 31, 2019, and statistical analyses were conducted between June 2021 and December 2023. The study took place in a university setting in Zurich, Switzerland, and Berlin, Germany. Of 123 recruited patients, 83 were included in analyses. Of 66 recruited healthy control individuals matched for age, sex, and education, 53 were included in analyses. Discontinuation of antidepressant medication. Task-based fMRI measurement of amygdala reactivity and MDD relapse within 6 months after discontinuation. Among patients with MDD, the mean (SD) age was 35.42 (11.41) years, and 62 (75%) were women. Among control individuals, the mean (SD) age was 33.57 (10.70) years, and 37 (70%) were women. Amygdala reactivity of patients with remitted MDD and taking medication did not initially differ from that of control individuals (t125.136 = 0.33; P = .74). An increase in amygdala reactivity after antidepressant discontinuation was associated with depression relapse (3-way interaction between group [12W (waited) vs 1W2 (discontinued)], time point [MA1 (first scan) vs MA2 (second scan)], and relapse: β, 18.9; 95% CI, 0.8-37.1; P = .04). Amygdala reactivity change was associated with shorter times to relapse (hazard ratio, 1.05; 95% CI, 1.01-1.09; P = .01) and predictive of relapse (leave-one-out cross-validation balanced accuracy, 67%; 95% posterior predictive interval, 53-80; P = .02). An increase in amygdala reactivity was associated with risk of relapse after antidepressant discontinuation and may represent a functional neuroimaging marker that could inform clinical decisions around antidepressant discontinuation.

Identifiants

pubmed: 39259548
pii: 2823590
doi: 10.1001/jamapsychiatry.2024.2136
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Tore Erdmann (T)

Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck Centre for Computational Psychiatry and Ageing Research, Queen Square Institute of Neurology, University College London, London, United Kingdom.

Isabel M Berwian (IM)

Princeton Neuroscience Institute & Psychology Department, Princeton University, Princeton, New Jersey.
Translational Neuromodeling Unit, University of Zurich and Swiss Federal Institute of Technology in Zurich, Zurich, Switzerland.

Klaas Enno Stephan (KE)

Translational Neuromodeling Unit, University of Zurich and Swiss Federal Institute of Technology in Zurich, Zurich, Switzerland.
Max Planck Institute for Metabolism Research, Cologne, Germany.

Erich Seifritz (E)

Department of Adult Psychiatry and Psychotherapy, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland.

Henrik Walter (H)

Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Quentin J M Huys (QJM)

Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck Centre for Computational Psychiatry and Ageing Research, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Translational Neuromodeling Unit, University of Zurich and Swiss Federal Institute of Technology in Zurich, Zurich, Switzerland.
Department of Adult Psychiatry and Psychotherapy, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland.

Classifications MeSH