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

Real-time functional magnetic resonance imaging (fMRI) affords the opportunity to explore the feasibility of self-regulation of functional brain networks through neurofeedback. We localised emotion networks individually in thirteen participants using fMRI and trained them to upregulate target areas,...

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Bibliographic Details
Published in:NeuroImage (Orlando, Fla.) Fla.), 2010-01, Vol.49 (1), p.1066-1072
Main Authors: Johnston, S.J., Boehm, S.G., Healy, D., Goebel, R., Linden, D.E.J.
Format: Article
Language:English
Subjects:
Adult
Amygdala
Amygdala - physiology
Biofeedback, Psychology - physiology
Brain
Brain - physiology
Cerebral Cortex - physiology
Data Interpretation, Statistical
Emotion
Emotions - physiology
Feedback
Female
Functional Laterality - physiology
Functional magnetic resonance imaging
Humans
Imagination - physiology
Insula
Learning - physiology
Likert scale
Magnetic Resonance Imaging
Male
Middle Aged
Neostriatum - physiology
Nerve Net - physiology
Neurofeedback
NMR
Nuclear magnetic resonance
Prefrontal Cortex - physiology
Psychometrics
Striatum
Young Adult
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Summary:Real-time functional magnetic resonance imaging (fMRI) affords the opportunity to explore the feasibility of self-regulation of functional brain networks through neurofeedback. We localised emotion networks individually in thirteen participants using fMRI and trained them to upregulate target areas, including the insula and amygdala. Participants achieved a high degree of control of these networks after a brief training period. We observed activation increases during periods of upregulation of emotion networks in the precuneus and medial prefrontal cortex and, with increasing training success, in the ventral striatum. These findings demonstrate the feasibility of fMRI-based neurofeedback of emotion networks and suggest a possible development into a therapeutic tool.
ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2009.07.056