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Stability of a Chronic Implanted Brain-computer Interface in Late-stage Amyotrophic Lateral Sclerosis

Overview
Publisher Elsevier
Specialties Neurology
Psychiatry
Date 2019 Aug 12
PMID 31401488
Citations 31
Authors
Affiliations
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Abstract

Objective: We 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).

Methods: Data 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.

Results: User 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.

Conclusions: The 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.

Significance: These findings are relevant for the future of implantable brain-computer interfaces along with other brain-sensing technologies, such as responsive neurostimulation.

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References
1.
Morrell M . Responsive cortical stimulation for the treatment of medically intractable partial epilepsy. Neurology. 2011; 77(13):1295-304. DOI: 10.1212/WNL.0b013e3182302056. View

2.
Sun F, Desai S, Tcheng T, Morrell M . Changes in the electrocorticogram after implantation of intracranial electrodes in humans: The implant effect. Clin Neurophysiol. 2017; 129(3):676-686. DOI: 10.1016/j.clinph.2017.10.036. View

3.
Ryapolova-Webb E, Afshar P, Stanslaski S, Denison T, de Hemptinne C, Bankiewicz K . Chronic cortical and electromyographic recordings from a fully implantable device: preclinical experience in a nonhuman primate. J Neural Eng. 2014; 11(1):016009. DOI: 10.1088/1741-2560/11/1/016009. View

4.
Bullara L, AGNEW W, YUEN T, Jacques S, PUDENZ R . Evaluation of electrode array material for neural prostheses. Neurosurgery. 1979; 5(6):681-6. DOI: 10.1227/00006123-197912000-00006. View

5.
Swann N, de Hemptinne C, Miocinovic S, Qasim S, Ostrem J, Galifianakis N . Chronic multisite brain recordings from a totally implantable bidirectional neural interface: experience in 5 patients with Parkinson's disease. J Neurosurg. 2017; 128(2):605-616. PMC: 5641233. DOI: 10.3171/2016.11.JNS161162. View