Cognet-Stroke: A Novel Brain Dysconnectivity Tool For Prediction Of Cognitive Deficits After Stroke
Jimenez-Marin, A.; Boulanger, S.; Tellaetxe-Elorriaga, I.; Escudero, I.; De Sousa, I. G.; Freijo, M. d. M.; Tejada, P. I.; Erramuzpe, A.; Cortes, J. M.
Show abstract
This study presents COGNET-STROKE, a novel meta-analytic brain functional decoding tool designed to predict cognitive deficits after stroke. The tool integrates Lesion Network Mapping with meta-analytic concept maps derived from Neurosynth, enabling the identification of the cognitive domains most affected by stroke-induced network disruptions. Validation analyses confirmed that identified patients with predicted motor and sensory impairment had significantly higher scores in their corresponding NIHSS-subscales, demonstrating predictability from lesion-induced dysconnectivity to behavioral impairment. COGNET-STROKE openly available at https://github.com/compneurobilbao/CogNet-stroke, offers a framework for individualized cognitive-deficit profiling, with implications for personalized rehabilitation strategies in stroke recovery.
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