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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Vydáno v:	NeuroImage (Orlando, Fla.) Ročník 245; s. 118642
Hlavní autoři:	Olafson, Emily R., Jamison, Keith W., Sweeney, Elizabeth M., Liu, Hesheng, Wang, Danhong, Bruss, Joel E., Boes, Aaron D., Kuceyeski, Amy
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 15.12.2021 Elsevier Limited Elsevier
Témata:	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
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Abstract	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.
AbstractList	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. 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.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.
ArticleNumber	118642
Author	Sweeney, Elizabeth M. Jamison, Keith W. Liu, Hesheng Boes, Aaron D. Bruss, Joel E. Wang, Danhong Olafson, Emily R. Kuceyeski, Amy
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BackLink	https://www.ncbi.nlm.nih.gov/pubmed/34637901$$D View this record in MEDLINE/PubMed
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Keywords	fMRI Stroke Connectome Remapping Motor recovery Graph matching
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Snippet	Motor recovery following ischemic stroke is contingent on the ability of surviving brain networks to compensate for damaged tissue. In rodent models, sensory...
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SubjectTerms	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
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Title	Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection
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