ArticlemedRxiv : the preprint server for health sciences2025
A Methodological Framework for the Efficient Characterization of Peripheral Nerve Stimulation Parameters.
Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03898804 (An Early Feasibility Study to Assess the Effects of the "Reconnecting the Hand and Arm to the Brain), which is not on this map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
An Early Feasibility Study to Assess the Effects of the "Reconnecting the Hand and Arm to the Brain (ReHAB)" System
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5 authors.
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Abstract
Objective: Restoring movement and somatosensation with peripheral nerve stimulation (PNS) requires precise neural activation. Pulse amplitude (PA) and pulse width (PW) modulate neural response differently, offering potential for improved selectivity. However, simultaneously modulating both parameters is rare due to the time required to map the two-dimensional space. This paper proposes and clinically validates an efficient method to characterize multiple intensities in the PA-PW space for motor and perceptual sensory applications. We also explore distinct activation patterns and potential applications of stimulation within the two-dimensional space. Approach: We used cuff electrodes implanted in one participant with a spinal cord injury to generate equal muscle activation contours and two participants with upper limb loss to generate perceptual intensity contours across multiple intensities in the PA-PW space. Strength-duration (SD) curves were mapped to the contours using varying sample point subsets and assessed for fit. Finite element modeling of the human nerve and activation simulations evaluated differences in recruited axon populations across the PA-PW space. Main results: SD curves accurately fit all levels of motor activation and perceptual sensory intensity (median Significance: This work supports the use of SD curves to efficiently define a two-dimensional stimulation region for clinical motor and sensory PNS. Applying the proposed characterization method could enhance selectivity and resolution, reducing fatigue, improving fine motor control, and enabling unique percept generation. (ClinicalTrials.gov ID NCT03898804).
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