Real-Time Functional MRI in the Treatment of Mental Health Disorders

  • Vincent Taschereau-Dumouchel
  • , Cody A. Cushing
  • , Hakwan Lau

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations

Abstract

Multiple mental disorders have been associated with dysregulation of precise brain processes. However, few therapeutic approaches can correct such specific patterns of brain activity. Since the late 1960s and early 1970s, many researchers have hoped that this feat could be achieved by closed-loop brain imaging approaches, such as neurofeedback, that aim to modulate brain activity directly. However, neurofeedback never gained mainstream acceptance in mental health, in part due to methodological considerations. In this review, we argue that, when contemporary methodological guidelines are followed, neurofeedback is one of the few intervention methods in psychology that can be assessed in double-blind placebo-controlled trials. Furthermore, using new advances in machine learning and statistics, it is now possible to target very precise patterns of brain activity for therapeutic purposes. We review the recent literature in functional magnetic resonance imaging neurofeedback and discuss current and future applications to mental health.

Original languageEnglish
Pages (from-to)125-134
Number of pages10
JournalAnnual Review of Clinical Psychology
Volume18
DOIs
StatePublished - 2022
Externally publishedYes

Keywords

  • decoded neurofeedback
  • functional magnetic resonance imaging
  • machine learning
  • neurofeedback
  • real-time brain imaging

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