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Real-time self-regulation of emotion networks in patients with depression

Linden, David Edmund Johannes, Habes, Isabelle, Johnston, Stephen J., Linden, Stefanie, Tatineni, Ranjit, Subramanian, Leena, Sorger, Bettina, Healy, David Thomas and Goebel, Rainer 2012. Real-time self-regulation of emotion networks in patients with depression. PLoS ONE 7 (6) , e38115. 10.1371/journal.pone.0038115

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Abstract

Many patients show no or incomplete responses to current pharmacological or psychological therapies for depression. Here we explored the feasibility of a new brain self-regulation technique that integrates psychological and neurobiological approaches through neurofeedback with functional magnetic resonance imaging (fMRI). In a proof-of-concept study, eight patients with depression learned to upregulate brain areas involved in the generation of positive emotions (such as the ventrolateral prefrontal cortex (VLPFC) and insula) during four neurofeedback sessions. Their clinical symptoms, as assessed with the 17-item Hamilton Rating Scale for Depression (HDRS), improved significantly. A control group that underwent a training procedure with the same cognitive strategies but without neurofeedback did not improve clinically. Randomised blinded clinical trials are now needed to exclude possible placebo effects and to determine whether fMRI-based neurofeedback might become a useful adjunct to current therapies for depression.

Item Type: Article
Date Type: Publication
Status: Published
Schools: MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Psychology
Neuroscience and Mental Health Research Institute (NMHRI)
Medicine
Subjects: B Philosophy. Psychology. Religion > BF Psychology
R Medicine > RM Therapeutics. Pharmacology
Publisher: PLoS
ISSN: 1932-6203
Date of First Compliant Deposit: 30 March 2016
Last Modified: 04 Jun 2017 04:04
URI: http://orca.cf.ac.uk/id/eprint/32050

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Cited 80 times in Web of Science. View in Web of Science.

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