期刊
JOURNAL OF NEUROPHYSIOLOGY
卷 120, 期 1, 页码 343-360出版社
AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00493.2017
关键词
amyotrophic lateral sclerosis; brain-computer interface; communication; local field potentials; long-term stability; people with locked-in syndrome
资金
- National Institutes of Health: National Institute on Deafness and Other Communication Disorders [R01DC009899]
- Rehabilitation Research and Development Service, Department of Veterans Affairs [B6453R, N9228C, B6459L]
- Massachusetts General Hospital Deane Institute for Integrated Research on Atrial Fibrillation and Stroke
- Joseph Martin Prize for Basic Research
- Executive Committee on Research of Massachusetts General Hospital
- Doris Duke Charitable Foundation
- Swiss National Science Foundation Ambizione program [PZOOP2_168103/1]
Restoring communication for people with locked-in syndrome remains a challenging clinical problem without a reliable solution. Recent studies have shown that people with paralysis can use brain-computer interfaces (BCIs) based on intracortical spiking activity to efficiently type messages. However, due to neuronal signal instability, most intracortical BCIs have required frequent calibration and continuous assistance of skilled engineers to maintain performance. Here, an individual with locked-in syndrome due to brain stem stroke and an individual with tetraplegia secondary to amyotrophic lateral sclerosis (ALS) used a simple communication BCI based on intracortical local field potentials (LFPs) for 76 and 138 days, respectively, without recalibration and without significant loss of performance. BCI spelling rates of 3.07 and 6.88 correct characters/minute allowed the participants to type messages and write emails. Our results indicate that people with locked-in syndrome could soon use a slow but reliable LFP-based BCI for everyday communication without ongoing intervention from a technician or caregiver. NEW & NOTEWORTHY This study demonstrates, for the first time, stable repeated use of an intracortical brain-computer interface by people with tetraplegia over up to four and a half months. The approach uses local field potentials (LFPs), signals that may be more stable than neuronal action potentials, to decode participants' commands. Throughout the several months of evaluation, the decoder remained unchanged; thus no technical interventions were required to maintain consistent brain-computer interface operation.
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