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The sensitivity of ECG contamination to surgical implantation site in brain computer interfaces

WJ. Neumann, M. Memarian Sorkhabi, M. Benjaber, LK. Feldmann, A. Saryyeva, JK. Krauss, MF. Contarino, T. Sieger, R. Jech, G. Tinkhauser, C. Pollo, C. Palmisano, IU. Isaias, DD. Cummins, SJ. Little, PA. Starr, V. Kokkinos, S. Gerd-Helge, T....

. 2021 ; 14 (5) : 1301-1306. [pub] 20210821

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc22003788

Grantová podpora
MC_UU_12024/1 Medical Research Council - United Kingdom

BACKGROUND: Brain sensing devices are approved today for Parkinson's, essential tremor, and epilepsy therapies. Clinical decisions for implants are often influenced by the premise that patients will benefit from using sensing technology. However, artifacts, such as ECG contamination, can render such treatments unreliable. Therefore, clinicians need to understand how surgical decisions may affect artifact probability. OBJECTIVES: Investigate neural signal contamination with ECG activity in sensing enabled neurostimulation systems, and in particular clinical choices such as implant location that impact signal fidelity. METHODS: Electric field modeling and empirical signals from 85 patients were used to investigate the relationship between implant location and ECG contamination. RESULTS: The impact on neural recordings depends on the difference between ECG signal and noise floor of the electrophysiological recording. Empirically, we demonstrate that severe ECG contamination was more than 3.2x higher in left-sided subclavicular implants (48.3%), when compared to right-sided implants (15.3%). Cranial implants did not show ECG contamination. CONCLUSIONS: Given the relative frequency of corrupted neural signals, we conclude that implant location will impact the ability of brain sensing devices to be used for "closed-loop" algorithms. Clinical adjustments such as implant location can significantly affect signal integrity and need consideration.

Citace poskytuje Crossref.org

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$a BACKGROUND: Brain sensing devices are approved today for Parkinson's, essential tremor, and epilepsy therapies. Clinical decisions for implants are often influenced by the premise that patients will benefit from using sensing technology. However, artifacts, such as ECG contamination, can render such treatments unreliable. Therefore, clinicians need to understand how surgical decisions may affect artifact probability. OBJECTIVES: Investigate neural signal contamination with ECG activity in sensing enabled neurostimulation systems, and in particular clinical choices such as implant location that impact signal fidelity. METHODS: Electric field modeling and empirical signals from 85 patients were used to investigate the relationship between implant location and ECG contamination. RESULTS: The impact on neural recordings depends on the difference between ECG signal and noise floor of the electrophysiological recording. Empirically, we demonstrate that severe ECG contamination was more than 3.2x higher in left-sided subclavicular implants (48.3%), when compared to right-sided implants (15.3%). Cranial implants did not show ECG contamination. CONCLUSIONS: Given the relative frequency of corrupted neural signals, we conclude that implant location will impact the ability of brain sensing devices to be used for "closed-loop" algorithms. Clinical adjustments such as implant location can significantly affect signal integrity and need consideration.
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$a Memarian Sorkhabi, Majid $u MRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
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$a Tinkhauser, Gerd $u Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland
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$a Pollo, Claudio $u Department of Neurosurgery, Bern University Hospital and University of Bern, Bern, Switzerland
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$a Palmisano, Chiara $u Department of Neurology, University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany
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$a Starr, Philip A $u Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, 94143, USA
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$a Kokkinos, Vasileios $u Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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$a Gerd-Helge, Schneider $u Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Chariteplatz 1, 10117, Berlin, Germany
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$a Herrington, Todd $u Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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$a Richardson, R Mark $u Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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