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Author Notes:

E-mail: bdunlop@emory.edu

Subjects:

Keywords:

  • antidepressive agent
  • biological marker
  • depression
  • effect modifier
  • individualized medicine
  • magnetic resonance imaging
  • patient outcome assessment
  • positron-emission tomography
  • psychotherapy

Neuroimaging-based biomarkers for treatment selection in major depressive disorder.

Tools:

Journal Title:

Dialogues in Clinical Neuroscience

Volume:

Volume 16, Number 4

Publisher:

, Pages 479-490

Type of Work:

Article | Final Publisher PDF

Abstract:

The use of neuroimaging approaches to identify likely treatment outcomes in patients with major depressive disorder is developing rapidly. Emerging work suggests that resting state pretreatment metabolic activity in the fronto-insular cortex may distinguish between patients likely to respond to psychotherapy or medication and may function as a treatment-selection biomarker. In contrast, high metabolic activity in the subgenual anterior cingulate cortex may be predictive of poor outcomes to both medication and psychotherapy, suggesting that nonstandard treatments may be pursued earlier in the treatment course. Although these findings will require replication before clinical adoption, they provide preliminary support for the concept that brain states can be measured and applied to the selection of a specific treatment most likely to be beneficial for an individual patient.

Copyright information:

© 2014 AICH – Servier Research Group. All rights reserved

This is an Open Access work distributed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/).

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