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Intentional binding for noninvasive BCI control.

Tristan Venot¹, Arthur Desbois¹, Marie Constance Corsi¹

¹Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013 Paris, France.

Journal of Neural Engineering

|July 12, 2024

Summary

This summary is machine-generated.

Timing motor imagery in brain-computer interfaces (BCIs) significantly impacts accuracy. Performing hand grasping motor imagery after robot reaching enhances BCI performance and brain activity for better neurorehabilitation.

Keywords:

EEG brain networks functional connectivity hybrid BCI motor imagery robotic arm

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Area of Science:

Neuroscience
Biomedical Engineering
Human-Computer Interaction

Background:

Noninvasive brain-computer interfaces (BCIs) offer a way to interact with the environment by bypassing physical movement.
Improving BCI efficiency and accuracy is crucial for clinical applications and neurorehabilitation.
Hybrid BCIs integrating multimodal feedback, like robotic prostheses and eye-gaze, aim to enhance user experience and performance.

Purpose of the Study:

To investigate how the timing of mental imagery commands affects the performance of a hybrid EEG-based BCI.
To understand the impact of motor imagery timing on brain activity and BCI accuracy during a reach-and-grasp task.
To optimize the integration of mental imagery in BCIs for improved human-robot interaction.

Main Methods:

A hybrid electroencephalography (EEG)-based BCI was developed for a reach-and-grasp task using a robotic arm.
Healthy volunteers participated in BCI training, performing hand grasping motor imagery at different time points relative to the robot's movement.
Brain activity and BCI accuracy were monitored to analyze the effects of motor imagery timing.

Main Results:

The timing of hand grasping motor imagery significantly influenced BCI accuracy and brain dynamics.
BCI accuracy improved most when motor imagery was performed immediately after the robot's reaching phase.
This timing enhanced intentional binding, strengthened motor-related brain activity, and facilitated sensorimotor integration.

Conclusions:

The timing of motor imagery is a critical factor in optimizing hybrid BCI performance.
Intentional binding plays a role in enhancing BCI accuracy by strengthening neural processing.
These findings can inform the design of more effective brain-machine interfaces for various applications.