2026-07-07 テキサス大学オースチン校（UT Austin）
Credit: Huiliang “Evan” Wang
＜関連情報＞
- https://news.utexas.edu/2026/07/07/get-better-sleep-with-ultrasound-patch-that-boosts-rem-rest/
- https://www.nature.com/articles/s41467-026-73787-6
超音波による深部脳刺激とリアルタイムの電気生理学的モニタリングを可能にする、皮膚に貼付する生体接着パッチによるレム睡眠の改善 Skin-attached bioadhesive patch enabling ultrasound deep brain stimulation and real-time electrophysiological monitoring for REM sleep enhancement
Kai Wing Kevin Tang,Benjamin Baird,William D. Moscoso-Barrera,Mengxia Yu,Mengmeng Yao,Jinmo Jeong,Ilya Pyatnitskiy,Anakaren Romero Lozano,Jiachen Wang,Ju-Chun Hsieh,Tony Sungjin Chae,Daniel Song,Julieta Garcia,Rithvik Mittapalli,Adam Bush,Wynn Legon,Vincent Mysliwiec,Gregory A. Fonzo & Huiliang Wang
Nature Communications Published: 04 June 2026
DOI:https://doi.org/10.1038/s41467-026-73787-6
Abstract
Wearable bioelectronic interfaces capable of simultaneous neural sensing and targeted deep brain modulation remain limited by the lack of non-invasive technologies with sufficient spatial precision and mechanical stability for continuous operation. Here we report NEUSLeeP, a flexible skin-attached bioadhesive patch integrating electrophysiological sensing with transcranial focused ultrasound neuromodulation. The system incorporates a tunable concentric-ring ultrasound array, conformal hydrogel electrophysiological electrodes, and compliant interconnects within a soft substrate optimized for stable overnight operation. This integrated architecture enables spatially selective modulation and concurrent electrophysiological monitoring of deep brain structures, specifically the subthalamic nucleus during natural sleep. In a 28-participant study, NEUSLeeP demonstrated robust monitoring of sleep performance with precise-targeted neuromodulation of STN resulting in an increase in REM duration by 4.6% and reducing REM latency by 24%. This work establishes an ultrasound bioelectronic platform for non-invasive, spatiotemporally precise modulation and monitoring of deep neural circuits for neuroscience and bioelectronic medicine. ClinicalTrials.gov identifier: NCT07190287
