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Journal Article

Citation

Muller AM, Virji-Babul N. ASN Neuro 2018; 10: e1759091417753802.

Affiliation

Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.

Copyright

(Copyright © 2018, SAGE Publishing)

DOI

10.1177/1759091417753802

PMID

29357675

Abstract

Sports-related concussion in youth is a major public health issue. Evaluating the diffuse and often subtle changes in structure and function that occur in the brain, particularly in this population, remains a significant challenge. The goal of this pilot study was to evaluate the relationship between the intrinsic dynamics of the brain using resting-state functional magnetic resonance imaging (rs-fMRI) and relate these findings to structural brain correlates from diffusion tensor imaging in a group of adolescents with sports-related concussions ( nā€‰=ā€‰6) and a group of healthy adolescent athletes ( nā€‰=ā€‰6). We analyzed rs-fMRI data using a sliding windows approach and related the functional findings to structural brain correlates by applying graph theory analysis to the diffusion tensor imaging data. Within the resting-state condition, we extracted three separate brain states in both groups. Our analysis revealed that the brain dynamics in healthy adolescents was characterized by a dynamic pattern, shifting equally between three brain states; however, in adolescents with concussion, the pattern was more static with a longer time spent in one brain state. Importantly, this lack of dynamic flexibility in the concussed group was associated with increased nodal strength in the left middle frontal gyrus, suggesting reorganization in a region related to attention. This preliminary report shows that both the intrinsic brain dynamics and structural organization are altered in networks related to attention in adolescents with concussion. This first report in adolescents will be used to inform future studies in a larger cohort.


Language: en

Keywords

adolescents; attention; concussion; intrinsic dynamics; multimodal magnetic resonance imaging; networks; rich club

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