Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases
Brain stimulation, a therapy increasingly used for neurological and psychiatric disease, traditionally is divided into invasive approaches, such as deep brain stimulation (DBS), and noninvasive approaches, such as transcranial magnetic stimulation. The relationship between these approaches is unknow...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 111; no. 41; p. 14650 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
14.10.2014
National Acad Sciences |
Series | PNAS Plus |
Subjects | |
Online Access | Get full text |
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Summary: | Brain stimulation, a therapy increasingly used for neurological and psychiatric disease, traditionally is divided into invasive approaches, such as deep brain stimulation (DBS), and noninvasive approaches, such as transcranial magnetic stimulation. The relationship between these approaches is unknown, therapeutic mechanisms remain unclear, and the ideal stimulation site for a given technique is often ambiguous, limiting optimization of the stimulation and its application in further disorders. In this article, we identify diseases treated with both types of stimulation, list the stimulation sites thought to be most effective in each disease, and test the hypothesis that these sites are different nodes within the same brain network as defined by resting-state functional-connectivity MRI. Sites where DBS was effective were functionally connected to sites where noninvasive brain stimulation was effective across diseases including depression, Parkinson's disease, obsessive-compulsive disorder, essential tremor, addiction, pain, minimally conscious states, and Alzheimer's disease. A lack of functional connectivity identified sites where stimulation was ineffective, and the sign of the correlation related to whether excitatory or inhibitory noninvasive stimulation was found clinically effective. These results suggest that resting-state functional connectivity may be useful for translating therapy between stimulation modalities, optimizing treatment, and identifying new stimulation targets. More broadly, this work supports a network perspective toward understanding and treating neuropsychiatric disease, highlighting the therapeutic potential of targeted brain network modulation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author contributions: M.D.F. and A.P.-L. designed research; M.D.F. performed research; M.D.F., R.L.B., H.L., and M.M.C. contributed new reagents/analytic tools; M.D.F. and H.L. analyzed data; and M.D.F., R.L.B., M.M.C., A.M.L., and A.P.-L. wrote the paper. Edited by Michael S. Gazzaniga, University of California, Santa Barbara, CA, and approved August 28, 2014 (received for review March 17, 2014) |
ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.1405003111 |