Evaluation of multimodal EEG-fNIRS neurofeedback for motor imagery - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Evaluation of multimodal EEG-fNIRS neurofeedback for motor imagery

Résumé

Neurofeedback (NF) enables self-regulation of brain activity through real-time feedback extracted from brain activity measures. Recently, the association of several neuroimaging methods to characterize brain activity has led to growing interest in NF. The integration of various portable recording techniques, such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), respectively based on electrical and hemodynamics activity, could enhance the characterization of brain signals and subsequently improve NF performance. Such multimodal NF could benefit post-stroke motor rehabilitation. Nevertheless, their concomitant use in NF to discriminate specific features of brain activity has not been exhaustively studied. The objective of this study is to evaluate benefits of combining EEG and fNIRS for NF. Thirty right-handed participants are undergoing three randomized NF sessions: EEG-only, fNIRS-only, and EEG-fNIRS. EEG (Actichamp, Brain Products) and fNIRS (NIRScout, NIRx) channels are positioned above the primary sensorimotor cortex. A NF score is computed from the right primary motor cortex signal along 3 different sessions (EEG-only, fNIRS-only, EEG-fNIRS). The participants are presented with a visual representation of a ball along a one-dimension gauge, that moves up by imagining left-hand movements. The association between the score of NF, the neuroimaging modalities and the motor imagery strategy is then analyzed. Data collection is currently ongoing. We hypothesize that presenting the participants with a visual NF representing a score based on both EEG and fNIRS signals will result in higher control of the NF gauge, translating in higher NF scores. Moreover, we expect that multimodal feedback compared to unimodal feedback will enhance task-specific brain activity in both EEG and fNIRS modalities. This study investigates the benefits of combined EEG-fNIRS to provide multimodal NF. With potentially increased neuroplasticity, such system could find applications in clinical contexts, particularly in motor and brain rehabilitation, such as in post-stroke units.
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Dates et versions

hal-04834285 , version 1 (12-12-2024)
hal-04834285 , version 2 (17-12-2024)

Identifiants

  • HAL Id : hal-04834285 , version 2

Citer

Camille O Muller, Thomas Prampart, Elise Bannier, Isabelle Corouge, Pierre Maurel. Evaluation of multimodal EEG-fNIRS neurofeedback for motor imagery. rtFIN 2024 - Real-Time Functional Imaging and Neurofeedback meeting, Nov 2024, Heidelberg, Germany. ⟨hal-04834285v2⟩
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