Literature DB >> 33587957

Neurofeedback training in major depressive disorder: A systematic review of clinical efficacy, study quality and reporting practices.

Lucas R Trambaiolli1, Simon H Kohl2, David E J Linden3, David M A Mehler4.   

Abstract

Major depressive disorder (MDD) is the leading cause of disability worldwide. Neurofeedback training has been suggested as a potential additional treatment option for MDD patients not reaching remission from standard care (i.e., psychopharmacology and psychotherapy). Here we systematically reviewed neurofeedback studies employing electroencephalography, or functional magnetic resonance-based protocols in depressive patients. Of 585 initially screened studies, 24 were included in our final sample (N = 480 patients in experimental and N = 194 in the control groups completing the primary endpoint). We evaluated the clinical efficacy across studies and attempted to group studies according to the control condition categories currently used in the field that affect clinical outcomes in group comparisons. In most studies, MDD patients showed symptom improvement superior to the control group(s). However, most articles did not comply with the most stringent study quality and reporting practices. We conclude with recommendations on best practices for experimental designs and reporting standards for neurofeedback training.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biofeedback; Electroencephalography; Functional magnetic resonance imaging; Major depressive disorder; Neurofeedback; Neuroimaging; Real-time fMRI; Self-regulation

Mesh:

Year:  2021        PMID: 33587957     DOI: 10.1016/j.neubiorev.2021.02.015

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  7 in total

1.  Opportunity Cost or Opportunity Lost: An Empirical Assessment of Ethical Concerns and Attitudes of EEG Neurofeedback Users.

Authors:  Louiza Kalokairinou; Rebekah Choi; Ashwini Nagappan; Anna Wexler
Journal:  Neuroethics       Date:  2022-09-23       Impact factor: 1.427

Review 2.  Neurofeedback and neural self-regulation: a new perspective based on allostasis.

Authors:  Arash Mirifar; Andreas Keil; Felix Ehrlenspiel
Journal:  Rev Neurosci       Date:  2022-02-07       Impact factor: 4.703

3.  How standardized are "standard protocols"? Variations in protocol and performance evaluation for slow cortical potential neurofeedback: A systematic review.

Authors:  John Hasslinger; Micaela Meregalli; Sven Bölte
Journal:  Front Hum Neurosci       Date:  2022-09-02       Impact factor: 3.473

4.  Excess significance and power miscalculations in neurofeedback research.

Authors:  Robert T Thibault; Hugo Pedder
Journal:  Neuroimage Clin       Date:  2022-04-26       Impact factor: 4.891

5.  Multimodal resting-state connectivity predicts affective neurofeedback performance.

Authors:  Lucas R Trambaiolli; Raymundo Cassani; Claudinei E Biazoli; André M Cravo; João R Sato; Tiago H Falk
Journal:  Front Hum Neurosci       Date:  2022-09-08       Impact factor: 3.473

Review 6.  Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment.

Authors:  Lucas R Trambaiolli; Raymundo Cassani; David M A Mehler; Tiago H Falk
Journal:  Front Aging Neurosci       Date:  2021-06-09       Impact factor: 5.750

7.  A Novel Cognition-Guided Neurofeedback BCI Dataset on Nicotine Addiction.

Authors:  Junjie Bu; Chang Liu; Huixing Gou; Hefan Gan; Yan Cheng; Mengyuan Liu; Rui Ni; Zhen Liang; Guanbao Cui; Ginger Qinghong Zeng; Xiaochu Zhang
Journal:  Front Neurosci       Date:  2021-07-06       Impact factor: 4.677

  7 in total

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