Sense-It: Towards new types of BCI-based sensorimotor neurofeedback for motor rehabilitation
Year: 2025
Type: conference-paper
Abstract: Combined with conventional rehabilitation of the upper limbs, kinesthetic motor imagery (KMI) is a promising direction in post-stroke neurorehabilitation. Unfortunately, KMI is a complex mental task for people, as it provides no feedback, making it impossible to self-assess, correct, and improve their performance and, consequently, their rehabilitation. To overcome this difficulty, we have designed Sense-IT, a deformable interface coupled with a gamified BCI that provides tangible multisensory feedback (visual and kinesthetic) to allow for a supportive and differentiable rehabilitation program according to patients’ needs and preferences. This original double-blind and mixed study (N=36) compares the effects of three feedback modalities (visual, kinesthetic via Sense-IT, bimodal) on the user experience and motor area stimulation. Although neurophysiological results did not reveal significant differences in contralateral motor cortex activation across the three feedback modalities, subjective measures highlighted the added value of tangible and multimodal feedback. Participants reported that the kinesthetic feedback provided by Sense-IT enhanced their engagement and task comprehension. Overall, these findings support the relevance of combining visual and kinesthetic neurofeedback to improve user experience and emphasize the importance of delivering reliable and meaningful feedback in BCI-based motor rehabilitation.
Language: English
Subfield: Rehabilitation
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4416618386