Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection

Motor recovery following ischemic stroke is contingent on the ability of surviving brain networks to compensate for damaged tissue. In rodent models, sensory and motor cortical representations have been shown to remap onto intact tissue around the lesion site, but remapping to more distal sites (e.g...

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Published in:NeuroImage (Orlando, Fla.) Vol. 245; p. 118642
Main Authors: Olafson, Emily R., Jamison, Keith W., Sweeney, Elizabeth M., Liu, Hesheng, Wang, Danhong, Bruss, Joel E., Boes, Aaron D., Kuceyeski, Amy
Format: Journal Article
Language:English
Published: United States Elsevier Inc 15.12.2021
Elsevier Limited
Elsevier
Subjects:
Adaptation
Adult
Aged
Animal models
Bias
Brain
Case-Control Studies
Cerebellum
Connectome
Connectome - methods
Data processing
Female
fMRI
Graph matching
Humans
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
Ischemia
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Middle Aged
Motor Cortex - diagnostic imaging
Motor Cortex - physiopathology
Motor recovery
Neural networks
Recovery of Function
Remapping
Stroke
Stroke - diagnostic imaging
Stroke - physiopathology
Structure-function relationships
Time series
fMRI
Stroke
Connectome
Remapping
Motor recovery
Graph matching
ISSN:1053-8119, 1095-9572, 1095-9572
Online Access:Get full text
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Summary:Motor recovery following ischemic stroke is contingent on the ability of surviving brain networks to compensate for damaged tissue. In rodent models, sensory and motor cortical representations have been shown to remap onto intact tissue around the lesion site, but remapping to more distal sites (e.g. in the contralesional hemisphere) has also been observed. Resting state functional connectivity (FC) analysis has been employed to study compensatory network adaptations in humans, but mechanisms and time course of motor recovery are not well understood. Here, we examine longitudinal FC in 23 first-episode ischemic pontine stroke patients and utilize a graph matching approach to identify patterns of functional connectivity reorganization during recovery. We quantified functional reorganization between several intervals ranging from 1 week to 6 months following stroke, and demonstrated that the areas that undergo functional reorganization most frequently are in cerebellar/subcortical networks. Brain regions with more structural and functional connectome disruption due to the stroke also had more remapping over time. Finally, we show that functional reorganization is correlated with the extent of motor recovery in the early to late subacute phases, and furthermore, individuals with greater baseline motor impairment demonstrate more extensive early subacute functional reorganization (from one to two weeks post-stroke) and this reorganization correlates with better motor recovery at 6 months. Taken together, these results suggest that our graph matching approach can quantify recovery-relevant, whole-brain functional connectivity network reorganization after stroke.
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ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2021.118642