Clinical safety assessment of implanted brain-computer interfaces: current evidence and a pathway to standardization

Implanted brain-computer interfaces are beginning to move beyond short laboratory sessions into long-term and home use. The evidence used to judge clinical safety remains fragmented. This review examines penetrating intracortical, cortical-surface (including subpial) and cerebral-venous systems, with stimulation considered as an additional exposure. Published studies report perioperative neurological and wound complications, vascular patency, stimulation-related effects, changes in devices and materials, and loss of functions on which participants may depend. Comparison across architectures remains difficult because cohorts are small and sometimes overlap, exposure denominators vary, long-term surveillance is incomplete, and retrieval data are limited. Chronic safety cannot be inferred from one test. Clinical review, problem-directed imaging, device interrogation and participant-level outcomes capture different parts of the safety record and need to be read together over time. We use this evidence to set out a lifecycle framework spanning the preimplant baseline, implantation, recovery, chronic use, new findings and end-of-use. It combines a small common dataset with architecture-specific modules and an event-triggered route for confirmation, attribution, escalation and outcome recording. Before this approach can inform formal guidance, it requires prospective multicentre testing, independent adjudication, input from participants and caregivers, registry follow-up and periodic revision. The near-term task is to make safety evidence comparable and clinically useful without treating any implanted BCI architecture as generally safe.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2026-10-28
DOI
https://doi.org/10.3389/fnins.2026.1994636
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Clinical safety assessment of implanted brain-computer interfaces: current evidence and a pathway to standardization

Wen-Jun Tu, Baozhou Xing, Li Zhang
3 links
Frontiers in Neuroscience
Neuroscience and Neural Engineering
article

Clinical safety assessment of implanted brain-computer interfaces: current evidence and a pathway to standardization

Wen-Jun Tu, Baozhou Xing, Li Zhang
article en

Abstract

Implanted brain-computer interfaces are beginning to move beyond short laboratory sessions into long-term and home use. The evidence used to judge clinical safety remains fragmented. This review examines penetrating intracortical, cortical-surface (including subpial) and cerebral-venous systems, with stimulation considered as an additional exposure. Published studies report perioperative neurological and wound complications, vascular patency, stimulation-related effects, changes in devices and materials, and loss of functions on which participants may depend. Comparison across architectures remains difficult because cohorts are small and sometimes overlap, exposure denominators vary, long-term surveillance is incomplete, and retrieval data are limited. Chronic safety cannot be inferred from one test. Clinical review, problem-directed imaging, device interrogation and participant-level outcomes capture different parts of the safety record and need to be read together over time. We use this evidence to set out a lifecycle framework spanning the preimplant baseline, implantation, recovery, chronic use, new findings and end-of-use. It combines a small common dataset with architecture-specific modules and an event-triggered route for confirmation, attribution, escalation and outcome recording. Before this approach can inform formal guidance, it requires prospective multicentre testing, independent adjudication, input from participants and caregivers, registry follow-up and periodic revision. The near-term task is to make safety evidence comparable and clinically useful without treating any implanted BCI architecture as generally safe.

Frontiers in NeuroscienceVol. 20
Peking University (CN), Aerospace Center Hospital (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 20%
Neuroscience and Neural Engineering
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Clinical safety assessment of implanted brain-computer interfaces: current evidence and a pathway to standardization — Wen-Jun Tu, Baozhou Xing, et al. · Frontiers in Neuroscience (2026) | TGRS Research Map | TGRS