TY - JOUR
T1 - Real-Time Functional MRI in the Treatment of Mental Health Disorders
AU - Taschereau-Dumouchel, Vincent
AU - Cushing, Cody A.
AU - Lau, Hakwan
N1 - Publisher Copyright:
Copyright © 2022 by Annual Reviews. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - decoded neurofeedback
KW - functional magnetic resonance imaging
KW - machine learning
KW - neurofeedback
KW - real-time brain imaging
UR - https://www.scopus.com/pages/publications/85130000950
U2 - 10.1146/annurev-clinpsy-072220-014550
DO - 10.1146/annurev-clinpsy-072220-014550
M3 - Review article
C2 - 35061522
AN - SCOPUS:85130000950
SN - 1548-5943
VL - 18
SP - 125
EP - 134
JO - Annual Review of Clinical Psychology
JF - Annual Review of Clinical Psychology
ER -