Literature DB >> 35908116

Real-time fMRI neurofeedback compared to cognitive behavioral therapy in a pilot study for the treatment of mild and moderate depression.

Mikhail Ye Mel'nikov1, Dmitriy D Bezmaternykh1, Andrey A Savelov2, Evgeniy D Petrovskiy2, Lyudmila I Kozlova1, Kira A Natarova3, Tatiana D Larina4, Tatiana M Andamova1, Mikhail Zvyagintsev5, Mark B Shtark1, Klaus Mathiak6.   

Abstract

Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback was found to reduce depressive symptoms. However, no direct comparison of drug-free patients with an active psychotherapy control group is available. The present study compared rt-fMRI neurofeedback with cognitive behavioral therapy, as the standard treatment in patients declining anti-depressants. Twenty adult, drug-free patients with mild or moderate depression were non-randomly assigned either to a course of eight half-hour sessions of neurofeedback targeting the left medial prefrontal cortex (N = 12) or to a 16-session course of cognitive behavioral therapy (N = 8). Montgomery-Asberg Depression Rating Scale was introduced at baseline, mid-treatment, and end-treatment points. In each group, 8 patients each remained in the study to a mid-treatment evaluation and 6 patients each to the study end-point. ANOVA revealed a depression reduction with a significant effect of Time (F(3,6) = 19.0, p < 0.001, η2 = 0.76). A trend to greater improvement in the cognitive behavioral therapy group compared to neurofeedback emerged (Group × Time; p = 0.078). Percent signal change in the region of interest between up- and down-regulation conditions was significantly correlated with session number (Pearson's r = 0.85, p < 0.001) indicating a learning effect. As limitations, small sample size could lead to insufficient power and non-random allocation to selection bias. Both neurofeedback and cognitive behavioral therapy improved mild and moderate depression. Neurofeedback was not superior to cognitive behavioral therapy. Noteworthy, the neurofeedback training course was associated with continuous improvement in the self-regulation skill, without plateau. This study delivers data to plan clinical trials comparing neurofeedback with cognitive behavioral interventions.
© 2022. The Author(s).

Entities:  

Keywords:  Cognitive behavioral therapy; Depression; Learning curves; Medial prefrontal cortex; Real-time functional magnetic resonance imaging neurofeedback (rt-fMRI NFB)

Year:  2022        PMID: 35908116     DOI: 10.1007/s00406-022-01462-0

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.760


  40 in total

1.  What does the prefrontal cortex "do" in affect: perspectives on frontal EEG asymmetry research.

Authors:  Richard J Davidson
Journal:  Biol Psychol       Date:  2004-10       Impact factor: 3.251

2.  Upregulation of emotion areas through neurofeedback with a focus on positive mood.

Authors:  Stephen Johnston; D E J Linden; D Healy; R Goebel; I Habes; S G Boehm
Journal:  Cogn Affect Behav Neurosci       Date:  2011-03       Impact factor: 3.282

3.  Attitudes and Preferences towards Self-help Treatments for Depression in Comparison to Psychotherapy and Antidepressant Medication.

Authors:  Katie Hanson; Thomas L Webb; Paschal Sheeran; Graham Turpin
Journal:  Behav Cogn Psychother       Date:  2015-02-20

4.  Is alpha wave neurofeedback effective with randomized clinical trials in depression? A pilot study.

Authors:  Sung Won Choi; Sang Eun Chi; Sun Yong Chung; Jong Woo Kim; Chang Yil Ahn; Hyun Taek Kim
Journal:  Neuropsychobiology       Date:  2010-11-09       Impact factor: 2.328

Review 5.  Emotional valence modulates brain functional abnormalities in depression: evidence from a meta-analysis of fMRI studies.

Authors:  Nynke A Groenewold; Esther M Opmeer; Peter de Jonge; André Aleman; Sergi G Costafreda
Journal:  Neurosci Biobehav Rev       Date:  2012-12-01       Impact factor: 8.989

6.  Neurofeedback: A promising tool for the self-regulation of emotion networks.

Authors:  S J Johnston; S G Boehm; D Healy; R Goebel; D E J Linden
Journal:  Neuroimage       Date:  2009-07-29       Impact factor: 6.556

7.  A Guide to Literature Informed Decisions in the Design of Real Time fMRI Neurofeedback Studies: A Systematic Review.

Authors:  Samantha J Fede; Sarah F Dean; Thushini Manuweera; Reza Momenan
Journal:  Front Hum Neurosci       Date:  2020-02-25       Impact factor: 3.169

8.  Functional and clinical outcomes of FMRI-based neurofeedback training in patients with alcohol dependence: a pilot study.

Authors:  Susanne Karch; Daniela Krause; Marco Paolini; Daniel Keeser; Kevin Lehnert; Julia Konrad; Dinah Haller; Boris-Stephan Rauchmann; Maximilian Maywald; Hessel Engelbregt; Kristina Adorjan; Gabriele Koller; Paul Reidler; Temmuz Karali; Nadja Tschentscher; Birgit Ertl-Wagner; Oliver Pogarell
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2021-10-07       Impact factor: 5.760

Review 9.  Functional Contribution of the Medial Prefrontal Circuitry in Major Depressive Disorder and Stress-Induced Depressive-Like Behaviors.

Authors:  Thibault P Bittar; Benoit Labonté
Journal:  Front Behav Neurosci       Date:  2021-06-21       Impact factor: 3.558

10.  The SyBil-AA real-time fMRI neurofeedback study: protocol of a single-blind randomized controlled trial in alcohol use disorder.

Authors:  Martin Fungisai Gerchen; Martina Kirsch; Nathalie Bahs; Patrick Halli; Sarah Gerhardt; Axel Schäfer; Wolfgang H Sommer; Falk Kiefer; Peter Kirsch
Journal:  BMC Psychiatry       Date:  2018-01-17       Impact factor: 3.630

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