Network analysis detects changes in the contralesional hemisphere following stroke

Crofts, JJ ORCID: https://orcid.org/0000-0001-7751-9984, Higham, DJ, Bosnell, R, Jbabdi, S, Matthews, PM, Behrens, TEJ and Johansen-Berg, H, 2011. Network analysis detects changes in the contralesional hemisphere following stroke. NeuroImage, 54 (1), pp. 161-169. ISSN 1053-8119

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Abstract

Changes in brain structure occur in remote regions following focal damage such as stroke. Such changes could disrupt processing of information across widely distributed brain networks. We used diffusion MRI tractography to assess connectivity between brain regions in 9 chronic stroke patients and 18 age-matched controls. We applied complex network analysis to calculate 'communicability', a measure of the ease with which information can travel across a network. Clustering individuals based on communicability separated patient and control groups, not only in the lesioned hemisphere but also in the contralesional hemisphere, despite the absence of gross structural pathology in the latter. In our highly selected patient group, lesions were localised to the left basal ganglia/internal capsule. We found reduced communicability in patients in regions surrounding the lesions in the affected hemisphere. In addition, communicability was reduced in homologous locations in the contralesional hemisphere for a subset of these regions. We interpret this as evidence for secondary degeneration of fibre pathways which occurs in remote regions interconnected, directly or indirectly, with the area of primary damage. We also identified regions with increased communicability in patients that could represent adaptive, plastic changes post-stroke. Network analysis provides new and powerful tools for understanding subtle changes in interactions across widely distributed brain networks following stroke.

Item Type:	Journal article
Publication Title:	NeuroImage
Creators:	Crofts, J.J., Higham, D.J., Bosnell, R., Jbabdi, S., Matthews, P.M., Behrens, T.E.J. and Johansen-Berg, H.
Publisher:	Elsevier
Date:	2011
Volume:	54
Number:	1
ISSN:	1053-8119
Identifiers:	Number Type 10.1016/j.neuroimage.2010.08.032 DOI
Rights:	Copyright © 2011 Elsevier B.V.
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:59
Last Modified:	09 Jun 2017 13:46
URI:	https://irep.ntu.ac.uk/id/eprint/21149

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