ERD Full-Process Longitudinal Trend and Pre-Post Motor Recovery Under BCI-Controlled Sixth-Finger Neurofeedback Intervention in Stroke Patients: An Exploratory Single-Arm Study
Aug 2026· IEEE transactions on neural systems and rehabilitation engineering· Vol 34, pp. 3802-3812· 0 citations· 46 references
Medicine
Abstract
Motor imagery-based brain-computer interface (MI-BCI) is used in stroke rehabilitation to match brain activity with contingent feedback to establish closed-loop pathways and provide a measure of neuroplasticity changes in patients. However, most studies assessed neural function only at pre- and post-train, thereby longitudinal trends of neural patterns and mechanisms during full-process of intervention remain unclear. Fourteen stroke patients were recruited to receive a total of 8-session (2-week) MI-BCI-controlled “sixth-finger” intervention. Resting-state electroencephalography (EEG) and clinical scales, including the Fugl-Meyer Assessment (FMA-UE) and Barthel Index (BI), were evaluated pre- and post-train. Furthermore, MI tasks EEG signals throughout the full-process of intervention were tracked to reflect the longitudinal continuous trends of neural activity. EEG longitudinal trend shows two phases over full-process of intervention: event-related desynchronization (ERD) gradually increased in the first week of training, weakened and focused on the contralateral sensorimotor area in the second week, and showed a significant correlation over sessions. And resting-state functional connectivity increased after intervention. Motor function improved significantly from pre- to post-train by clinical metrics, with + 7.9 in FMA-UE and + 7.1 in BI. More than half of patients (9/14) reached the minimally clinically important difference (MCID) of 6.6 points change for FMA-UE after therapy. Meanwhile, the improvement of motor function is associated with the enhancement of resting-state functional connectivity. This work reveals longitudinal trend of neural patterns over full-process of intervention and its correlation with motor recovery, providing crucial evidence for understanding the mechanisms of neuroplasticity in stroke rehabilitation.
With respect to stroke staging, BCI-mediated rehabilitation interventions conferred superior efficacy for motor function recovery in patients with subacute stroke, a finding plausibly attributable to the temporal course of post-stroke neural remodeling.
Huanhuan Zhang, Runzhi Xian, Yuchi Zhang et al.· Journal of NeuroEngineering...· 0 citations
Motor imagery-based brain-computer interface (MI-BCI) applications in stroke rehabilitation aim to match brain activity with real-time feedback, thereby establishing closed-loop neural pathways and providing a basis for evaluating patients’ neuroplasticity changes. Thus, constructing EEG datasets under MI paradigms is...
Background: Motor imagery neurofeedback (MI-NF) engages sensorimotor brain networks and has shown potential for motor recovery after stroke. While laboratory-based studies have demonstrated neural and behavioral effects, evidence on real-world MI-NF training and its impact on brain activity and connectivity in stroke s...
J. Decker, L. Bergmann, S. Rosemann et al.· medRxiv· 0 citations
Abstract The brain operates through large-scale, distributed networks, which are disrupted after stroke. Cortico-cortical paired associative stimulation (ccPAS) is a novel neuromodulation technique designed to induce spike-timing-dependent plasticity in specific pathways. However, its effects on large-scale resting-sta...
Xiang-Xin Xing, Jia-Jia Wu, Jie Ma et al.· Brain Communications· 0 citations
To recover lower-limb motor function is a primary goal for rehabilitation after anterior cruciate ligament (ACL) reconstruction. Although quantitative testing and questionnaire evaluation provide a lot of valuable information, functional magnetic resonance imaging (fMRI) provides a powerful method to preliminarily expl...
Chongwen Zuo, Yi Yin, Chong Zhang et al.· BMC Neurology· 0 citations
BackgroundStroke in the middle cerebral artery (MCA) often leads to persistent upper limb disability. While clinical scales such as the Fugl-Meyer Assessment for the Upper Extremity (FM-UE) track motor recovery, high-density EEG provides insight into cortical motor-activation patterns. Event-related desynchronization/s...
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