Communication Dans Un Congrès Année : 2025

Quantifying Inter-and Intra-Subject Variability of Sensorimotor Desynchronization Induced by Median Nerve Stimulation and Motor Imagery for BCI

Résumé

Motor Imagery-based Brain-Computer Interfaces (MI-BCIs) enable users to control external devices by interpreting sensorimotor activity recorded via ElectroEncephaloGraphy (EEG). Median Nerve Stimulation (MNS) has recently emerged as a promising alternative motor task for BCI applications. However, intra-and inter-subject EEG variability remains a major challenge, affecting BCI system reliability. While variability is a well-known issue, its precise sources and impact on different EEG patterns remain unclear, with a lack of formal and quantitative studies of BCI variability. Thus, this study quantifies intra-and inter-subject variability in MNSinduced sensorimotor desynchronization (ERD) and compares it with that of MI. Results show that MI elicits stronger ERD with lower intra-subject variability, suggesting more consistent activation patterns, while inter-subject variability is similar between tasks. Additionally, the variability of classification accuracies based on Riemannian geometry exhibits a similar trend. These findings provide insights into EEG variability and its implications for BCI design. Identifying stable neural patterns could improve MI-and MNS-based BCIs, particularly for applications such as intraoperative awareness monitoring.

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hal-05195827 , version 1 (01-08-2025)

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  • HAL Id : hal-05195827 , version 1

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Valérie Marissens Cueva, Fabien Lotte, Laurent Bougrain, Sébastien Rimbert. Quantifying Inter-and Intra-Subject Variability of Sensorimotor Desynchronization Induced by Median Nerve Stimulation and Motor Imagery for BCI. EMBS 2025 - 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jul 2025, Copenhague, Denmark. ⟨hal-05195827⟩
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