Imaging human brain networks to improve the clinical efficacy of non-invasive brain stimulation

Sale, Martin V., Mattingley, Jason B., Zalesky, Andrew and Cocchi, Luca (2015) Imaging human brain networks to improve the clinical efficacy of non-invasive brain stimulation. Neuroscience and Biobehavioral Reviews, 57 187-198. doi:10.1016/j.neubiorev.2015.09.010

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Author Sale, Martin V.
Mattingley, Jason B.
Zalesky, Andrew
Cocchi, Luca
Title Imaging human brain networks to improve the clinical efficacy of non-invasive brain stimulation
Journal name Neuroscience and Biobehavioral Reviews   Check publisher's open access policy
ISSN 0149-7634
1873-7528
Publication date 2015-10-01
Sub-type Article (original research)
DOI 10.1016/j.neubiorev.2015.09.010
Open Access Status File (Author Post-print)
Volume 57
Start page 187
End page 198
Total pages 12
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Collection year 2016
Language eng
Formatted abstract
The flexible integration of segregated neural processes is essential to healthy brain function. Advances in neuroimaging techniques have revealed that psychiatric and neurological disorders are characterized by anomalies in the dynamic integration of widespread neural populations. Re-establishing optimal neural activity is an important component of the treatment of such disorders. Non-invasive brain stimulation is emerging as a viable tool to selectively restore both local and widespread neural activity in patients affected by psychiatric and neurological disorders. Importantly, the different forms of non-invasive brain stimulation affect neural activity in distinct ways, which has important ramifications for their clinical efficacy. In this review, we discuss how non-invasive brain stimulation techniques influence widespread neural integration across brain regions. We suggest that the efficacy of such techniques in the treatment of psychiatric and neurological conditions is contingent on applying the appropriate stimulation paradigm to restore specific aspects of altered neural integration.
Keyword Connectomics
Connectivity
Depression
EEG
fMRI
Schizophrenia
Stroke
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2016 Collection
School of Psychology Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 13 times in Scopus Article | Citations
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Created: Tue, 03 Nov 2015, 01:09:24 EST by Susan Day on behalf of Queensland Brain Institute