Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis.
Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis.
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慢性植入脑机接口在晚期肌萎缩侧索硬化症中的稳定性。
DOI：
10.1016/j.clinph.2019.07.020
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Ramsey,NickF
中科院分区：
文献类型：
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作者：
Pels,ElmarGM;Aarnoutse,ErikJ;Leinders,Sacha;Freudenburg,ZacV;Branco,MarianaP;vanderVijgh,BennyH;Snijders,TomJ;Denison,Timothy;Vansteensel,MariskaJ;Ramsey,NickF
我们研究了一个完全植入的基于皮层电图（ECoG）的脑机接口（BCI）的长期功能稳定性和家庭使用，用于晚期肌萎缩侧索硬化症（ALS）患者的交流。在患有晚期ALS的个体中植入该系统后，对计算机接口装置进行36个月的评估。此外，还评估了电极阻抗和BCI控制精度。主要措施包括使用频率的系统进行通信，用户和系统的性能，和电信号characteristics.ResultsUser性能高一致超过三年。用于控制信号的高频带功率在运动皮层中缓慢下降，但对信号的控制不受时间的影响。阻抗增加，直到第5个月，然后保持不变。家庭使用的频率稳步增加，表明通过该系统的user.ConclusionsThe植入式脑机接口被证明是强大的在一个人与晚期ALS，稳定的性能和控制信号超过36 months.SignificanceThese研究结果是相关的未来植入式脑机接口沿着与其他脑传感技术，如响应神经刺激。
ObjectiveWe investigated the long-term functional stability and home use of a fully implanted electrocorticography (ECoG)-based brain-computer interface (BCI) for communication by an individual with late-stage Amyotrophic Lateral Sclerosis (ALS).MethodsData recorded from the cortical surface of the motor and prefrontal cortex with an implanted brain-computer interface device was evaluated for 36 months after implantation of the system in an individual with late-stage ALS. In addition, electrode impedance and BCI control accuracy were assessed. Key measures included frequency of use of the system for communication, user and system performance, and electrical signal characteristics.ResultsUser performance was high consistently over the three years. Power in the high frequency band, used for the control signal, declined slowly in the motor cortex, but control over the signal remained unaffected by time. Impedance increased until month 5, and then remained constant. Frequency of home use increased steadily, indicating adoption of the system by the user.ConclusionsThe implanted brain-computer interface proves to be robust in an individual with late-stage ALS, given stable performance and control signal for over 36 months.SignificanceThese findings are relevant for the future of implantable brain-computer interfaces along with other brain-sensing technologies, such as responsive neurostimulation.