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Bypass neural interfaces for paralysis: clinical translation, challenges and future directions
Marcus Jun Rui Lee1, Ashton Kai Shun Tan2, Yu Tung Lo3
1Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Journal of Neuroengineering and Rehabilitation
|July 21, 2026
Summary
Neural bypass interfaces restore movement in paralysis by linking brain signals around injury sites. Future systems may use the spinal cord and sensory feedback for adaptive control and neurorestoration.
Area of Science:
- Bioelectronic Medicine
- Neuroprosthetics
- Neurorestoration
Background:
- Advances in neural recording, decoding, and stimulation enable systems to restore communication across disrupted neural pathways.
- Neural bypass interfaces circumvent nervous system injuries to restore volitional movement in paralysis.
- These interfaces represent a distinct category of bioelectronic medicine.
Purpose of the Study:
- To define neural bypass interfaces as an emerging class of bioelectronic medicine.
- To outline design considerations and trace the evolution of neural bypasses.
- To examine clinical translation challenges and future directions for neural bypass technology.
Main Methods:
- Review of neurophysiological and systems-level considerations for bypass design.
- Analysis of the evolution of neural bypasses from research to clinical application.
- Identification of challenges in signal stability, stimulation, decoding, closed-loop integration, and implant viability.
Main Results:
- Neural bypass interfaces are emerging as a distinct bioelectronic medicine category.
- Key challenges include signal stability, stimulation performance, decoding robustness, and long-term implant viability.
- Emerging directions include using the spinal cord for neural intent and developing bidirectional bypasses with sensory feedback.
Conclusions:
- Neural bypass interfaces offer a promising approach to restoring movement in paralysis.
- Future developments may integrate sensory feedback and utilize spinal cord signals for enhanced control.
- These technologies have the potential to redefine neurorestorative therapies and drive biological recovery.
