Pain Control by Co-adaptive Learning in a Brain-Machine Interface

• Published in: Current biology Vol. 30; no. 20; pp. 3935 - 3944.e7
• Main Authors: Zhang, Suyi, Yoshida, Wako, Mano, Hiroaki, Yanagisawa, Takufumi, Mancini, Flavia, Shibata, Kazuhisa, Kawato, Mitsuo, Seymour, Ben
• Format: Journal Article
• Language: English
• Published: England Elsevier Inc 19.10.2020; Cell Press
• Subjects: adaptive control; Brain Mapping - methods; Brain-Computer Interfaces; brain-machine interface; Cerebral Cortex - physiology; Electroencephalography - methods; endogenous pain modulation; fMRI; Gyrus Cinguli - physiology; insula; Learning - physiology; Magnetic Resonance Imaging; Neural Pathways - physiology; Neurofeedback - methods; PAG; pain; Pain - pathology; Pain Management - methods; Periaqueductal Gray - physiology; pgACC; real-time decoding; uncertainty; pgACC; fMRI; pain; PAG; adaptive control; real-time decoding; endogenous pain modulation; insula; uncertainty; brain-machine interface

Innovation in the field of brain-machine interfacing offers a new approach to managing human pain. In principle, it should be possible to use brain activity to directly control a therapeutic intervention in an interactive, closed-loop manner. But this raises the question as to whether the brain acti...