Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode
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- Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode
- Simeral, J. D.; Kim, Sung-Phil; Black, M. J.; Donoghue, J. P.; Hochberg, L. R.
- BRAIN-COMPUTER INTERFACE; LOCAL-FIELD POTENTIALS; PRIMARY MOTOR CORTEX; LOCKED-IN SYNDROME; ELECTRODE-ARRAY; CEREBRAL-CORTEX; CORTICAL CONTROL; FITTS LAW; NEUROPROSTHETIC DEVICES; MOVEMENT TRAJECTORIES
- Issue Date
- IOP PUBLISHING LTD
- JOURNAL OF NEURAL ENGINEERING, v.8, no.2, pp.1 - 24
- The ongoing pilot clinical trial of the BrainGate neural interface system aims in part to assess the feasibility of using neural activity obtained from a small-scale, chronically implanted, intracortical microelectrode array to provide control signals for a neural prosthesis system. Critical questions include how long implanted microelectrodes will record useful neural signals, how reliably those signals can be acquired and decoded, and how effectively they can be used to control various assistive technologies such as computers and robotic assistive devices, or to enable functional electrical stimulation of paralyzed muscles. Here we examined these questions by assessing neural cursor control and BrainGate system characteristics on five consecutive days 1000 days after implant of a 4 x 4 mm array of 100 microelectrodes in the motor cortex of a human with longstanding tetraplegia subsequent to a brainstem stroke. On each of five prospectively-selected days we performed time-amplitude sorting of neuronal spiking activity, trained a population-based Kalman velocity decoding filter combined with a linear discriminant click state classifier, and then assessed closed-loop point-and-click cursor control. The participant performed both an eight-target center-out task and a random target Fitts metric task which was adapted from a human-computer interaction ISO standard used to quantify performance of computer input devices. The neural interface system was further characterized by daily measurement of electrode impedances, unit waveforms and local field potentials. Across the five days, spiking signals were obtained from 41 of 96 electrodes and were successfully decoded to provide neural cursor point-and-click control with a mean task performance of 91.3% +/- 0.1% (mean +/- s.d.) correct target acquisition. Results across five consecutive days demonstrate that a neural interface system based on an intracortical microelectrode array can provide repeatable, accurate point-and-click control of a computer interface to an individual with tetraplegia 1000 days after implantation of this sensor.
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