IEEE journal of biomedical and health informatics · 2026
Altered Sensorimotor Lateralization and Cross-modal Consistency in Stroke: A Simultaneous EEG-fNIRS Study.
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Wei Sihong, Chen Mingfang, Huang Lianchi, Wu Qiong, Wen Bin, Wang Song, Ye Jilun, Zhang Xu, Song Hujie, Qiao Jin, Xu Jin
Аннотация
Stroke often leads to motor impairment and is associated with disruptions in sensorimotor pathways and altered cortical lateralization. Although understanding these changes is essential for interpreting post-stroke neural reorganization, it remains unclear whether they are consistently reflected at both neural and hemodynamic levels. This study aimed to investigate cross-modal consistency using simultaneous electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS). EEG and fNIRS signals were recorded from stroke patients and age-matched healthy controls during unilateral handgrip tasks. Event-related desynchronization (ERD) and oxygenated hemoglobin (HbO) responses were used to compute the lateralization index (LI), and a cross-modal lateralization consistency index (cmLCI) was proposed to quantify EEG-fNIRS correspondence. Results showed that, in stroke patients, HbO responses exhibited significantly greater contralateral than ipsilateral activation during both affected- and unaffected-hand movements (p < 0.001), whereas LI showed no significant differences between patients and healthy controls. In the beta band, ERD was significantly lower in the contralateral than ipsilateral hemisphere during affected-hand movement (p = 0.002), with a reduced LI compared with the unaffected-hand condition (p < 0.001). Furthermore, cmLCI in the alpha and beta bands was significantly reduced in the affected-hand condition (p < 0.01). Importantly, beta-band cmLCI during affected-hand movement was positively correlated with Fugl-Meyer scores (R² = 0.32, p = 0.018). These findings reveal altered sensorimotor lateralization electrophysiological-hemodynamic and consistency reduced after stroke. The proposed cmLCI captures these alterations and is associated with clinical motor impairment, supporting its potential as a multimodal indicator of post-stroke cortical reorganization and motor impairment.