A Bioresorbable Neural Interface for On‐Demand Thermal Pain Block

ABSTRACT Conventional strategies for the management of acute pain have significant limitations. Pharmaceutical approaches carry risks for addiction and misuse. Standard implantable devices require secondary surgeries for removal and physical tethers to external systems for power and control. Recent work on bioresorbable electrical stimulators overcomes certain of these drawbacks, but existing versions still depend on transcutaneous leads. Here, we introduce a platform that employs thermal mechanisms for nerve block to bypass some of these limitations. The system integrates both a Joule heating element and a resistive temperature sensor in a soft cuff structure as a nerve interface, in which most of the materials are bioresorbable over a clinically relevant timeframe. This design enables precise control of nerve temperature within a safe range (≤45°C) for effective nerve block through a feedback‐guided strategy that continuously monitors temperature and adjusts current in real time. Options for wireless power delivery eliminate the need for external interfaces. Small animal model studies confirm the reversible and non‐invasive operation of this system. The results demonstrate effective suppression of compound nerve action potentials in response to thermal stimulation, with recovery of nerve conduction upon cooling. These findings highlight the potential of this platform as a safe and effective solution to acute pain management.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-12-18
DOI
https://doi.org/10.1002/adfm.202530035
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

A Bioresorbable Neural Interface for On‐Demand Thermal Pain Block

Hak‐Young Ahn, Jaehee Lee, Geumbee Lee, Seung Gi Seo et al.
Advanced Functional Materials
Neuroscience and Neural Engineering
article

A Bioresorbable Neural Interface for On‐Demand Thermal Pain Block

Hak‐Young Ahn, Jaehee Lee, Geumbee Lee, Seung Gi Seo, John A. Rogers, Matthew R. MacEwan, Jahyun Koo, Yung Hyun Choi, Sang Min Won, Wilson Z. Ray, Minho Seong, Yameng Xu, Taehoon Kim, Yan Yan, Jeonghwan Park, Tae‐Yeon Kim, Minsu Park, Young‐Eun Lee, Yulin Zhou, Raudel Avila, Jong Uk Kim, Elena Aprea, Ritika Raj Menghani, Nadir Muzaffar
article en

Abstract

ABSTRACT Conventional strategies for the management of acute pain have significant limitations. Pharmaceutical approaches carry risks for addiction and misuse. Standard implantable devices require secondary surgeries for removal and physical tethers to external systems for power and control. Recent work on bioresorbable electrical stimulators overcomes certain of these drawbacks, but existing versions still depend on transcutaneous leads. Here, we introduce a platform that employs thermal mechanisms for nerve block to bypass some of these limitations. The system integrates both a Joule heating element and a resistive temperature sensor in a soft cuff structure as a nerve interface, in which most of the materials are bioresorbable over a clinically relevant timeframe. This design enables precise control of nerve temperature within a safe range (≤45°C) for effective nerve block through a feedback‐guided strategy that continuously monitors temperature and adjusts current in real time. Options for wireless power delivery eliminate the need for external interfaces. Small animal model studies confirm the reversible and non‐invasive operation of this system. The results demonstrate effective suppression of compound nerve action potentials in response to thermal stimulation, with recovery of nerve conduction upon cooling. These findings highlight the potential of this platform as a safe and effective solution to acute pain management.

Advanced Functional MaterialsVol. 36(13)
Northwestern University (US), Yonsei University (KR), Washington University in St. Louis (US), Kyungpook National University (KR), Department of Public (IN), Rice University (US), Sungkyunkwan University (KR), Dankook University (KR), Pukyong National University (KR), Delft University of Technology (NL)
Openalex Percentile: Top 56%
Neuroscience and Neural Engineering
DOIOpen Access PDFOpenAlex
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