Journal Article

FZJ-2022-00608

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dynamic connectivity predicts acute motor impairment and recovery post-stroke

Bonkhoff, A. K. ; Rehme, A. K. ; Hensel, L. ; Tscherpel, C. ; Volz, L. J. ; Espinoza, F. A. ; Gazula, H. ; Vergara, V. M. ; Fink, G. R.FZJ* ; Calhoun, V. D. ; Rost, N. S. ; Grefkes, C. (Corresponding author)FZJ*

2021
Guarantors of Brain [Großbritannien]

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Please use a persistent id in citations: http://hdl.handle.net/2128/30286  doi:10.1093/braincomms/fcab227

Abstract: Thorough assessment of cerebral dysfunction after acute lesions is paramount to optimize predicting clinical outcomes. We herebuilt random forest classifier-based prediction models of acute motor impairment and recovery post-stroke. Predictions relied onstructural and resting-state fMRI data from 54 stroke patients scanned within the first days of symptom onset. Functional connectivitywas estimated via static and dynamic approaches. Motor performance was phenotyped in the acute phase and 6 months later.A model based on the time spent in specific dynamic connectivity configurations achieved the best discrimination between patientswith and without motor impairments (out-of-sample area under the curve, 95% confidence interval: 0.6760.01). In contrast,patients with moderate-to-severe impairments could be differentiated from patients with mild deficits using a model based on thevariability of dynamic connectivity (0.8360.01). Here, the variability of the connectivity between ipsilesional sensorimotor cortexand putamen discriminated the most between patients. Finally, motor recovery was best predicted by the time spent in specific connectivityconfigurations (0.8960.01) in combination with the initial impairment. Here, better recovery was linked to a shortertime spent in a functionally integrated configuration. Dynamic connectivity-derived parameters constitute potent predictors of acuteimpairment and recovery, which, in the future, might inform personalized therapy regimens to promote stroke recovery.

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Contributing Institute(s):

1. Kognitive Neurowissenschaften (INM-3)

Research Program(s):

1. 5252 - Brain Dysfunction and Plasticity (POF4-525) (POF4-525)

Appears in the scientific report 2021

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