Evidence map›Paper›PMID 42418597›Full record

ArticleScience advances2026

A soft wearable near-infrared spectroscopy system for detecting brain water dynamics linked to glymphatic activity during sleep.

Seunghyeb Ban, Junwoo Kwon, Ikhwan Shin, Youngjin Kwon, Kang-Min Choi, Yunuo Huang, Chang-Ho Yun, Woon-Hong Yeo

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

8 authors.

Seunghyeb BanGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-2703-035X
Junwoo KwonWearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0009-0008-5352-7988
Ikhwan ShinWearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0009-0008-9235-6309
Youngjin KwonWearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-0182-387X
Kang-Min ChoiGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-1968-3641
Yunuo HuangGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Chang-Ho YunDepartment of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID 0000-0003-2204-8067
Woon-Hong YeoGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0002-5526-3882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep is a critical physiological process essential for overall brain health. Recent research shows that the glymphatic system is a key player in facilitating the metabolic waste clearance. However, the continuous real-time monitoring of brain water dynamics during sleep remains substantially challenging. Here, we introduce a soft, wearable near-infrared spectroscopy (NIRS) system to detect brain water dynamics potentially linked to glymphatic activity. The device features an integration of multi-wavelength LEDs and photodetectors. The in vivo study with multiple human subjects captures the device's overnight sleep monitoring in a natural home environment, revealing continuous changes in brain water dynamics across different sleep stages. Our results support the link between sleep stage-dependent water dynamics and glymphatic activity. Spectral analysis identifies several physiological rhythms during sleep, including respiration, heart rate, and oscillations linked to slow-wave activity. These advancements significantly enhance the NIRS system's potential for a deeper understanding of brain health.

Indexed as

BrainGlymphatic SystemSleepWaterWearable Electronic DevicesHumansSpectroscopy, Near-InfraredWater

Identifiers

PMID42418597
PMCPMC13344349

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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.