COGNET-STROKE: A NOVEL BRAIN DYSCONNECTIVITY TOOL FOR PREDICTION OF COGNITIVE DEFICITS AFTER STROKE

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.