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

D.E.J. Linden, I. Habes, S.J. Johnston, S. extern Linden, R. Tatineni, L. Subramanian, B. Sorger, D. Healy, R. Goebel

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Article numbere38115
JournalPLOS ONE
Volume7
DOIs
Publication statusPublished - 1 Jan 2012

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