Spinal cord-computer interfaces for neurorehabilitation: Technical challenges and clinical perspectives

Abstract Objective: This Perspective aims to clarify the clinical and engineering scope of spinal cord-computer interfaces (SCCIs) in neurorehabilitation, distinguishing them from adjacent brain-computer interface, neuromodulation, and assistive-technology approaches while identifying the key barriers to translation. Approach: We synthesize evidence from epidural electrical stimulation, spinal bioelectronics, neural decoding, actuator control, brain-spine interfaces, and activity-dependent rehabilitation to define SCCIs as closed-loop or potentially closed-loop spinal interfaces. We then organize the major translational barriers into five interdependent domains: implantation strategy, long-term interface stability, spinal signal integration, actuator coupling, and activity-dependent circuit reconstruction. Main results: Our synthesis identifies five barriers that currently limit SCCI translation: surgical targeting and localization, chronic interface degradation, heterogeneous spinal pathophysiology, real-time decoding and actuator compatibility, and incomplete understanding of activity-dependent circuit remodeling. Although targeted spinal stimulation and hybrid brain-spine systems have shown functional benefits in selected populations, these advances remain difficult to generalize without adaptive, patient-specific system architectures. Significance: By distinguishing SCCIs from adjacent neurotechnology paradigms and linking engineering barriers to clinical decision points, this framework may support consistent terminology, calibrated translational claims, and the development of adaptive, patient-specific closed-loop strategies for restoring native motor control.

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Publication Details

Journal
Journal of Neural Engineering
Published
2026-11-11
DOI
https://doi.org/10.1088/1741-2552/aec0d0
Primary Topic
Spinal Cord Injury Research
Type
article
Field-Weighted Citation Impact
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article

Spinal cord-computer interfaces for neurorehabilitation: Technical challenges and clinical perspectives

Minfei Wu, Zhonghan Wang, Yang Wang, Bo Chao et al.
Journal of Neural Engineering
Spinal Cord Injury Research
article

Spinal cord-computer interfaces for neurorehabilitation: Technical challenges and clinical perspectives

Minfei Wu, Zhonghan Wang, Yang Wang, Bo Chao, Hengshuo Chen
article en

Abstract

Abstract Objective: This Perspective aims to clarify the clinical and engineering scope of spinal cord-computer interfaces (SCCIs) in neurorehabilitation, distinguishing them from adjacent brain-computer interface, neuromodulation, and assistive-technology approaches while identifying the key barriers to translation. Approach: We synthesize evidence from epidural electrical stimulation, spinal bioelectronics, neural decoding, actuator control, brain-spine interfaces, and activity-dependent rehabilitation to define SCCIs as closed-loop or potentially closed-loop spinal interfaces. We then organize the major translational barriers into five interdependent domains: implantation strategy, long-term interface stability, spinal signal integration, actuator coupling, and activity-dependent circuit reconstruction. Main results: Our synthesis identifies five barriers that currently limit SCCI translation: surgical targeting and localization, chronic interface degradation, heterogeneous spinal pathophysiology, real-time decoding and actuator compatibility, and incomplete understanding of activity-dependent circuit remodeling. Although targeted spinal stimulation and hybrid brain-spine systems have shown functional benefits in selected populations, these advances remain difficult to generalize without adaptive, patient-specific system architectures. Significance: By distinguishing SCCIs from adjacent neurotechnology paradigms and linking engineering barriers to clinical decision points, this framework may support consistent terminology, calibrated translational claims, and the development of adaptive, patient-specific closed-loop strategies for restoring native motor control.

Journal of Neural Engineering
Jilin University (CN), Second Affiliated Hospital of Jilin University (CN)
Spinal Cord Injury Research
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