AANS Online Scientific Session: Stereotactic & Functional-Restoration of volitional hand grasp in cervical quadriplegia with a brain computer interface that decodes continuously

Restoration of volitional hand grasp in cervical quadriplegia with a brain computer interface that decodes continuously

Video Transcription

Video Summary

The video features Benjamin Meschida-Crasso, a Technical Research Associate at MIT and Massachusetts General Hospital, presenting his work on a brain-computer interface (BCI) for cervical quadriplegia. The BCI aims to decode hand-grasp intent in patients with complete cervical quadriplegia. The system uses a chronically implanted electrocorticography (ECoG) device with two channels, and the decoding algorithm is based on frequency information in the ECoG data. The results show that the decoder can generalize well to the test set with an AUC of 0.73. Adaptive decoding was explored but did not significantly improve performance. The ultimate goal is to bring the BCI into the patient's home for real-time use.

Asset Subtitle

Benyamin Meschede-Krasa

Keywords

brain-computer interface

cervical quadriplegia

electrocorticography

decoding algorithm

real-time use