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

Johnston, S. J., Boehm, S. G., Healy, D. and Linden, David Edmund Johannes 2010. Neurofeedback: A promising tool for the self-regulation of emotion networks. NeuroImage 49 (1) , pp. 1066-1072. 10.1016/j.neuroimage.2009.07.056

Full text not available from this repository.

Abstract

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Medicine Neuroscience and Mental Health Research Institute (NMHRI)
Uncontrolled Keywords:	Emotion; Neurofeedback; Functional magnetic resonance imaging; Insula; Amygdala; Striatum
Publisher:	Elsevier
Last Modified:	04 Jun 2017 08:34
URI:	http://orca.cf.ac.uk/id/eprint/80526

Citation Data

Cited 162 times in Scopus. View in Scopus. Powered By Scopus® Data

Cited 92 times in Web of Science. View in Web of Science.

Actions (repository staff only)

Edit Item