Peri‐Infarct Cortical Network Remapping During Stroke Recovery via a Soft Liquid Metal Neural Interface

Stroke causes substantial reorganization of neural activity and connectivity in the peri-infarct cortex during functional recovery. Tracking these changes at high resolution, however, remains difficult. Mechanical mismatch of conventional rigid neural probes is exacerbated in the fragile peri-infarct region, destabilizing the tissue-electrode interface and limiting long-term recording. Here, we present a fully soft, liquid metal-based multichannel neural interface that enables stable electrophysiological recording in freely moving mice. Using this platform, we performed longitudinal recordings before and after ischemic stroke, enabling within-animal comparisons. We applied complementary analyses of population-level latent dynamics and functional connectivity, capturing network-level coordination and pairwise interactions. Both analyses revealed acute suppression followed by partial recovery without restoration of the pre-stroke state. Instead, neural networks reorganized into a distinct and reproducible functional configuration. These findings establish soft liquid metal neural interfaces combined with population-level analysis as a useful approach for resolving neural reorganization during stroke recovery.

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Publication Details

Journal
Advanced Healthcare Materials
Published
2026-10-29
DOI
https://doi.org/10.1002/adhm.71933
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
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article

Peri‐Infarct Cortical Network Remapping During Stroke Recovery via a Soft Liquid Metal Neural Interface

Sanghoon Lee, Jang‐Ung Park, Inhea Jeong, Jakyoung Lee et al.
Advanced Healthcare Materials
Neuroscience and Neural Engineering
article

Peri‐Infarct Cortical Network Remapping During Stroke Recovery via a Soft Liquid Metal Neural Interface

Sanghoon Lee, Jang‐Ung Park, Inhea Jeong, Jakyoung Lee, Myoungjae Oh, Eunmin Kim, Yeon‐Mi Hong, Enji Kim
article en

Abstract

Stroke causes substantial reorganization of neural activity and connectivity in the peri-infarct cortex during functional recovery. Tracking these changes at high resolution, however, remains difficult. Mechanical mismatch of conventional rigid neural probes is exacerbated in the fragile peri-infarct region, destabilizing the tissue-electrode interface and limiting long-term recording. Here, we present a fully soft, liquid metal-based multichannel neural interface that enables stable electrophysiological recording in freely moving mice. Using this platform, we performed longitudinal recordings before and after ischemic stroke, enabling within-animal comparisons. We applied complementary analyses of population-level latent dynamics and functional connectivity, capturing network-level coordination and pairwise interactions. Both analyses revealed acute suppression followed by partial recovery without restoration of the pre-stroke state. Instead, neural networks reorganized into a distinct and reproducible functional configuration. These findings establish soft liquid metal neural interfaces combined with population-level analysis as a useful approach for resolving neural reorganization during stroke recovery.

Advanced Healthcare Materials
Yonsei University (KR), Institute for Basic Science (KR)
Openalex Percentile: Top 20%
Neuroscience and Neural Engineering
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