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Transregional Neural Prostheses: Applications and Computational Tools
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DOI：10.1109/tnsre.2026.3717163.png)
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Abstract
En 中文
Transregional neural prostheses represent an emerging frontier in neural rehabilitation, integrating advances in clinical translation, neuroscience, and engineering. Damage to communication pathways within the interconnected nervous system often results in diverse disabilities. Recent progress in high-density neural interfaces and computational algorithms now makes it possible to bypass damaged circuits and restore lost behavioral functions through transregional prostheses. Moving beyond replacing sensory or motor functions with external devices, transregional neural prostheses offer the potential to re-establish endogenous causal communication of neural circuits, which can support limb control, improve higher-order cognitive functions, and promote long-term rehabilitation through dynamic, active intervention. This review surveys current applications of transregional prostheses under a unified computational framework to provide a systematic view. We then summarize advances in computational predictive models that approximate transregional communication and stimulation models for stimulation parameter optimization. Finally, we outline future directions for transregional neural prostheses from perspectives of neural engineering innovations, neuroscience research, and clinical considerations.
Keywords:
Brain-machine interface
computational models
neural stimulation
transregional neural prostheses
Journal
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5.2
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448
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1.6W
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