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Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity

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A Methodological Framework for the Efficient Characterization of Peripheral Nerve Stimulation Parameters.

Rachel S Jakes^1,2,3, Benjamin J Alexander^1,3, Vlad I Marcu^1,2,3

¹Case Western Reserve University, Department of Biomedical Engineering.

Medrxiv : the Preprint Server for Health Sciences

|July 15, 2025

Summary

This summary is machine-generated.

This study introduces an efficient method using strength-duration curves to map peripheral nerve stimulation parameters. This approach enhances precise neural activation for motor and sensory restoration, improving control and reducing fatigue.

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Area of Science:

Biomedical Engineering
Neuroscience
Rehabilitation Technology

Background:

Peripheral nerve stimulation (PNS) requires precise control of pulse amplitude (PA) and pulse width (PW) for effective neural activation.
Simultaneous modulation of PA and PW is challenging due to the time needed for mapping the 2D parameter space.
Developing efficient methods to characterize the PA-PW space is crucial for optimizing PNS applications.

Purpose of the Study:

To propose and clinically validate an efficient method for characterizing the PA-PW space in PNS.
To explore distinct neural activation patterns and potential applications within the 2D PA-PW space.
To enhance selectivity and resolution in motor and sensory PNS.

Main Methods:

Utilized cuff electrodes for PNS in participants with spinal cord injury and upper limb loss.
Mapped strength-duration (SD) curves to motor activation and perceptual intensity contours across varying PA and PW.
Employed finite element modeling for nerve activation simulations and axon population analysis.

Main Results:

SD curves accurately fit motor activation and perceptual intensity data (median R² = 0.996 and 0.984).
Reliable SD curve estimation requires only two sufficiently spaced points.
High PA stimulation preferentially recruited large-diameter axons, distinct from high PW stimulation.

Conclusions:

SD curves provide an efficient method for defining the 2D stimulation region in clinical PNS.
The proposed characterization method can improve selectivity, reduce fatigue, and enhance motor control.
This approach enables unique percept generation and broader clinical applications of PNS.