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

Created on 30 Oct 2026

Authors

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

Published in

Advanced healthcare materials. Oct 29, 2026. Epub Oct 29, 2026.

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.

PMID:
42958811
Bibliographic data and abstract were imported from PubMed on 30 Oct 2026.

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