Brain-machine interface via real-time fMRI: preliminary study on thought-controlled robotic arm.
Real-time functional MRI (rtfMRI) has been used as a basis for brain-computer interface (BCI) due to its ability to characterize region-specific brain activity in real-time. As an extension of BCI, we present an rtfMRI-based brain-machine interface (BMI) whereby 2-dimensional movement of a robotic arm was controlled by the regulation (and concurrent detection) of regional cortical activations in the primary motor areas. To do so, the subjects were engaged in the right- and/or left-hand motor imagery tasks. The blood oxygenation level dependent (BOLD) signal originating from the corresponding hand motor areas was then translated into horizontal or vertical robotic arm movement. The movement was broadcasted visually back to the subject as a feedback. We demonstrated that real-time control of the robotic arm only through the subjects' thought processes was possible using the rtfMRI-based BMI trials.
Lee
Jong-Hwan
JH
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, USA.
Ryu
Jeongwon
J
Jolesz
Ferenc A
FA
Cho
Zang-Hee
ZH
Yoo
Seung-Schik
SS
D000328:Adult; D001132:Arm; D005246:Feedback; D005260:Female; D006225:Hand; D006801:Humans; D007092:Imagination / Q000502:physiology; D008279:Magnetic Resonance Imaging / Q000295:instrumentation*; D008297:Male; D009010:Monte Carlo Method; D009044:Motor Cortex / Q000502:physiology*; D009068:Movement; D012371:Robotics / Q000379:methods*; D013647:Task Performance and Analysis; D014584:User-Computer Interface