Evidence map›Paper›PMID 41680169›Full record

ArticleNature communications2026

Photoacoustic computed tomography monitors cerebrospinal fluid dynamics and glymphatic function.

Seongwook Choi, Jiwoong Kim, Hyunseo Jeon, Yejin Lee, Gyeongju Lim, Won-Min Ju, Kyuwan Kim, Dong Soo Lee, Yun-Sang Lee, Jae Sung Lee and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. 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

13 authors.

Seongwook Choi *Department of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Institute of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, Republic of Korea.ORCID http://orcid.org/0000-0001-9774-058X
Jiwoong Kim *Department of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Institute of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, Republic of Korea.
Hyunseo Jeon *Department of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Institute of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, Republic of Korea.
Yejin LeeDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Gyeongju LimDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Won-Min JuDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Kyuwan KimDepartment of Nuclear Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-9462-9971
Dong Soo LeeDepartment of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Institute of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, Republic of Korea.
Yun-Sang LeeDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-1640-2090
Jae Sung LeeDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-7623-053X
Gi Jeong CheonDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-1360-5186
Yoori ChoiDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea. yns086@snu.ac.kr.ORCID http://orcid.org/0000-0002-4634-5974
Chulhong KimDepartment of Electrical Engineering, Convergence IT Engineering, Medical Science and Engineering, Institute of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, Republic of Korea. chulhong@postech.edu.ORCID http://orcid.org/0000-0001-7249-1257

Funding

National Research Foundation of Korea (NRF) 2020R1A6A1A03047902National Research Foundation of Korea (NRF) 2021M3C1C3097624National Research Foundation of Korea (NRF) 2023R1A2C3004880National Research Foundation of Korea (NRF) RS-2022-NR070031
6 · The paper itself

Abstract

Cerebrospinal fluid (CSF) continuously circulates through the brain and surrounding tissues to remove metabolic waste, a process that becomes less efficient with ageing and in neurodegenerative disease. Visualizing this drainage in living animals has been difficult because existing imaging tools either lack depth, require radioactive tracers, or are too slow to capture dynamic flow. Here, we show that whole-body photoacoustic computed tomography (PACT) enables three-dimensional, real-time tracking of CSF transport in mice using indocyanine green. We visualize CSF movement from the spinal canal into the brain, quantify its efflux under different anesthesia conditions, and detect impaired clearance in a mouse model of Alzheimer's disease. Compared with healthy animals, diseased mice retain the tracer in the brain for several days, indicating reduced waste removal. These results establish PACT as a non-invasive platform for measuring CSF and glymphatic function in vivo, providing a way to study how brain fluid transport is altered in ageing and neurological disorders.

Indexed as

BrainCerebrospinal FluidGlymphatic SystemPhotoacoustic TechniquesTomography, X-Ray ComputedAlzheimer DiseaseAnimalsDisease Models, AnimalFemaleHumansIndocyanine GreenMaleMice, TransgenicIndocyanine Green

Identifiers

PMID41680169
PMCPMC13009472

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.