Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interface

• Main Authors: Mansour, Salem, Giles, Joshua, Ang, Kai Keng, Nair, Krishnan P. S., Phua, Kok Soon, Arvaneh, Mahnaz
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Brain-Computer Interfaces; Stroke Rehabilitation
• Online Access: https://hdl.handle.net/10356/171289
• Institution: Nanyang Technological University

Brain-computer interfaces (BCIs) have recently been shown to be clinically effective as a novel method of stroke rehabilitation. In many BCI-based studies, the activation of the ipsilesional hemisphere was considered a key factor required for motor recovery after stroke. However, emerging evidence s...