Evidence map›Paper›PMID 42243115›Full record

Trial reportNature communications2026

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 and 9 more

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07190287 (Evaluation of a Wearable EEG-tFUS System for REM Sleep Modulation in Healthy Adults and Individuals With Subclinical Sleep Disturbances), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07190287 nacompletednot on this map

Evaluation of a Wearable EEG-tFUS System for REM Sleep Modulation in Healthy Adults and Individuals With Subclinical Sleep Disturbances

TypeinterventionalSponsorUniversity of Texas at AustinRan2025 to 2025Enrolled52ConditionsSleep Disturbance, Stress, Psychological, REM Sleep MeasurementArmsNEUSleeP system (FUS-EEG wearable device), BrainSonix Pulsar 1002
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Kai Wing Kevin Tang *Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0003-0671-8702
Benjamin Baird *Department of Psychology, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-8541-0508
William D Moscoso-Barrera *Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Mengxia Yu *Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Mengmeng YaoDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0003-2257-4526
Jinmo JeongDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-6088-2856
Ilya PyatnitskiyDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Anakaren Romero LozanoDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-5481-8527
Jiachen WangDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Ju-Chun HsiehDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-5598-5917
Tony Sungjin ChaeDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Daniel SongDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Julieta GarciaDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Rithvik MittapalliDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Adam BushDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA.
Wynn LegonFralin Biomedical Research Institute, Virginia Polytechnic Institute, Blacksburg, VA, USA.
Vincent MysliwiecDepartment of Psychiatry and Behavioral Sciences, The University of Texas Health Science at San Antonio, San Antonio, TX, USA. mysliwiec@uthscsa.edu.
Gregory A FonzoDepartment of Psychiatry and Behavioral Sciences, Dell Medical School, The University of Texas at Austin, Austin, TX, USA. gfonzo@austin.utexas.edu.ORCID 0000-0002-0213-1034
Huiliang WangDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA. evanwang@utexas.edu.ORCID 0000-0003-4063-270X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Deep Brain StimulationSleep, REMElectrophysiological PhenomenaHumansSkinWearable Electronic Devices

Identifiers

PMID42243115
PMCPMC13294382

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.