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Brain regulation of emotional conflict predicts antidepressant treatment response for depression

Author

Listed:
  • Gregory A. Fonzo

    (The University of Texas at Austin)

  • Amit Etkin

    (Stanford University
    Stanford University
    Sierra Pacific Mental Illness Research, Education and Clinical Center in the Veterans Affairs Palo Alto Healthcare System)

  • Yu Zhang

    (Stanford University
    Stanford University
    Sierra Pacific Mental Illness Research, Education and Clinical Center in the Veterans Affairs Palo Alto Healthcare System)

  • Wei Wu

    (Stanford University
    Stanford University
    Sierra Pacific Mental Illness Research, Education and Clinical Center in the Veterans Affairs Palo Alto Healthcare System)

  • Crystal Cooper

    (University of Texas Southwestern Medical Center)

  • Cherise Chin-Fatt

    (University of Texas Southwestern Medical Center)

  • Manish K. Jha

    (University of Texas Southwestern Medical Center)

  • Joseph Trombello

    (University of Texas Southwestern Medical Center)

  • Thilo Deckersbach

    (Massachusetts General Hospital)

  • Phil Adams

    (College of Physicians and Surgeons of Columbia University)

  • Melvin McInnis

    (University of Michigan)

  • Patrick J. McGrath

    (College of Physicians and Surgeons of Columbia University)

  • Myrna M. Weissman

    (College of Physicians and Surgeons of Columbia University)

  • Maurizio Fava

    (Massachusetts General Hospital)

  • Madhukar H. Trivedi

    (University of Texas Southwestern Medical Center)

Abstract

The efficacy of antidepressant treatment for depression is controversial due to the only modest superiority demonstrated over placebo. However, neurobiological heterogeneity within depression may limit overall antidepressant efficacy. We sought to identify a neurobiological phenotype responsive to antidepressant treatment by testing pretreatment brain activation during response to, and regulation of, emotional conflict as a moderator of the clinical benefit of the antidepressant sertraline versus placebo. Using neuroimaging data from a large randomized controlled trial, we found widespread moderation of clinical benefits by brain activity during regulation of emotional conflict, in which greater downregulation of conflict-responsive regions predicted better sertraline outcomes. Treatment-predictive machine learning using brain metrics outperformed a model trained on clinical and demographic variables. Our findings demonstrate that antidepressant response is predicted by brain activity underlying a key self-regulatory emotional capacity. Leveraging brain-based measures in psychiatry will forge a path toward better treatment personalization, refined mechanistic insights and improved outcomes.

Suggested Citation

  • Gregory A. Fonzo & Amit Etkin & Yu Zhang & Wei Wu & Crystal Cooper & Cherise Chin-Fatt & Manish K. Jha & Joseph Trombello & Thilo Deckersbach & Phil Adams & Melvin McInnis & Patrick J. McGrath & Myrna, 2019. "Brain regulation of emotional conflict predicts antidepressant treatment response for depression," Nature Human Behaviour, Nature, vol. 3(12), pages 1319-1331, December.
  • Handle: RePEc:nat:nathum:v:3:y:2019:i:12:d:10.1038_s41562-019-0732-1
    DOI: 10.1038/s41562-019-0732-1
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