Stroke training assessment using fNIRS-informed EEG source localization strategy



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We investigate the feasibility of assessing cortical organization and activity in a portable, low-cost, and noninvasive manner by using concurrent electroencephalography (EEG) and functional near infrared spectroscopy (fNIRS) recording and integrative analysis. The concurrent use of the two imaging modalities allows us to detect and monitor the electrical and hemodynamic activity in the brain. Expanding on previous research focused on the use of the EEG-fNIRS techniques, we propose a method for the evaluation and monitoring of abnormal cortical activity and reorganization often experienced by stroke patients. By combining the high spatial resolution of fNIRS with the high temporal resolution of EEG, we achieve a higher degree of spatiotemporal resolution than with either imaging technique alone, enabling an improved understanding of the dynamics of brain activity. We examine the efficacy of various noise and artifact reduction techniques paired with different filters in order to determine an optimized preprocessing pathway for the integrated modalities. The ultimate goal of this research is to facilitate the optimization of post-stroke rehabilitation protocols and expand our understanding of the underlying mechanism for post-stroke functional recovery.