Identifiable patterns of trait, state, and experience in chronic stroke recovery

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 Identifiable patterns of trait, state, and experience in chronic stroke recovery

Neurorehabilitation and Neural Repair (NNR) , Volume 35(2) , Pgs. 158-168.

NARIC Accession Number: J85576.  What's this?
ISSN: 1545-9683.
Author(s): Duncan, E. Susan ; Shereen, A. Duke ; Gentimis, Thanos ; Small, Steven L..
Publication Year: 2021.
Number of Pages: 11.

Abstract: 

Study investigated the stability of the brain’s functional connectivity across tasks and sessions in individuals with chronic stroke using a supervised machine learning approach. Twelve individuals with chronic stroke underwent functional magnetic resonance imaging (fMRI) seven times over 18 weeks. The middle 6 weeks consisted of intensive aphasia therapy. fMRI data were collected during rest and performance of 2 tasks. Functional connectivity metrics were calculated for each imaging run, then applied a support vector machine to classify data based on participant, task, and time point (pre- or posttherapy). Permutation testing established statistical significance. Whole-brain functional connectivity matrices could be classified at levels significantly greater than chance based on participant (87.1 percent accuracy), task (68.1 percent accuracy), and time point (72.1 percent accuracy). All significant effects were reproduced using only the contralesional right hemisphere; the left hemisphere revealed significant effects for participant and task, but not time point. Resting-state data could also be used to classify task-based data according to subject (66.0 percent). While the strongest posttherapy changes occurred among regions outside putative language networks, connections with traditional language-associated regions were significantly more positively correlated with behavioral outcome measures, and other regions had more negative correlations and intrahemispheric connections. The findings suggest the profound importance of considering interindividual variability when interpreting mechanisms of recovery in studies of functional connectivity in stroke.
Descriptor Terms: APHASIA, BRAIN, IMAGING, STROKE.


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Citation: Duncan, E. Susan , Shereen, A. Duke , Gentimis, Thanos , Small, Steven L.. (2021). Identifiable patterns of trait, state, and experience in chronic stroke recovery.  Neurorehabilitation and Neural Repair (NNR) , 35(2), Pgs. 158-168. Retrieved 3/19/2021, from REHABDATA database.


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Neurorehabilitation and Neural Repair (NNR).