TY - JOUR
T1 - Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis
AU - Pels, Elmar G M
AU - Aarnoutse, Erik J
AU - Leinders, Sacha
AU - Freudenburg, Zac V
AU - Branco, Mariana P
AU - van der Vijgh, Benny H
AU - Snijders, Tom J
AU - Denison, Timothy
AU - Vansteensel, Mariska J
AU - Ramsey, Nick F
N1 - Funding Information:
We thank the participant for her contribution and feedback. This study was supported by grants from the Netherlands (UGT7685, Economic Affairs SSM06011 and STW 12803, cosponsored by Medtronic), the European Union (ERC-Adv 320708) and the National Institute On Deafness And Other Communication Disorders of the National Institutes of Health under Award Number U01DC016686. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funding sources had no role in the design of the study, in the collection, analysis and interpretation of data, in the writing of the report and in the decision to submit the article for publication. T. Denison was an employee of Medtronic Inc, which co-sponsored the STW-grant. He is a shareholder of Medtronic and holds patents related to patient directed therapy control (8,380,314), a chopper-stabilized instrumentation amplifier (8,354,881), and a therapy control based on a patient movement state (8,121,694), all licensed to Medtronic. TD did not influence the clinical conclusions of this paper. E.G.M. Pels, E.J. Aarnoutse, S. Leinders, Z.V. Freudenburg, M.P. Branco, B.H. van der Vijgh, T.J. Snijders, M.J. Vansteensel and N.F. Ramsey report no disclosures.
Funding Information:
This study was supported by grants from the Netherlands ( UGT7685 , Economic Affairs SSM06011 and STW 12803 , cosponsored by Medtronic ), the European Union ( ERC-Adv 320708 ) and the National Institute On Deafness And Other Communication Disorders of the National Institutes of Health under Award Number U01DC016686 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funding sources had no role in the design of the study, in the collection, analysis and interpretation of data, in the writing of the report and in the decision to submit the article for publication.
Publisher Copyright:
© 2019 International Federation of Clinical Neurophysiology
PY - 2019/10
Y1 - 2019/10
N2 - 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.
AB - 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.
KW - Amyotrophic lateral sclerosis
KW - Brain-computer interface
KW - Communication
KW - Electrocorticography
KW - Implant
KW - Stability
KW - Amyotrophic lateral scleros
UR - http://www.scopus.com/inward/record.url?scp=85070239409&partnerID=8YFLogxK
U2 - 10.1016/j.clinph.2019.07.020
DO - 10.1016/j.clinph.2019.07.020
M3 - Article
C2 - 31401488
SN - 1388-2457
VL - 130
SP - 1798
EP - 1803
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
IS - 10
ER -