Evidence map›Paper›PMID 40462860›Full record

ArticleBrain communications2025

Brain glymphatic fluid mapping in Alzheimer's disease: a human MRI and PET study.

Liangdong Zhou, Thanh D Nguyen, Gloria C Chiang, Samantha A Keil, Xiuyuan Hugh Wang, Tsung-Wei Hu, Haoyu Lan, Ke Xi, Ana Paula Costa, Emily B Tanzi and 5 more

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  3. Review
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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

15 authors.

Liangdong ZhouDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.ORCID https://orcid.org/0000-0002-8389-274X
Thanh D NguyenDepartment of Radiology, MRI Research Institute (MRIRI), Weill Cornell Medicine, New York, NY 10065, USA.
Gloria C ChiangDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.
Samantha A KeilDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.
Xiuyuan Hugh WangDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.
Tsung-Wei HuDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.
Haoyu LanLaboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA 90033, USA.
Ke XiDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.
Ana Paula CostaDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.
Emily B TanziDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.
Lidia GlodzikDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.
Jarek WegielDepartment of Developmental Neurobiology, New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY 10314, USA.
Tracy ButlerDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.ORCID https://orcid.org/0000-0003-0130-8122
Mony J de LeonDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.
Yi LiDepartment of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, NY 10065, USA.ORCID https://orcid.org/0000-0002-3875-3513

Funding

CLINICAL RESEARCH TRAINING IN LATE-LIFE MOOD DISORDERST32MH019986 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Carmen Andreescu · 1997 to 2026
$6.9M
NIMH NIH HHS T32 MH019986
6 · The paper itself

Abstract

Glymphatic system has been identified as a fluid exchange network in brain parenchymal for removal of toxic metabolites in Alzheimer's disease. However, a clinically feasible, accurate, and non-invasive imaging technique for mapping global glymphatic fluid distribution throughout the entire brain and monitoring its dysfunction in Alzheimer's disease is currently lacking. This cross-sectional retrospective study aims to compare three MRI-based measures of the glymphatic system structural alterations, a novel multi-echo T2 relaxometry-based parenchymal CSF (pCSF) mapping, T2 weighted-based segmented perivascular space burden, and diffusion tensor imaging-based free-water mapping. We evaluated their cross-correlation and investigated their respective association with PET measured beta-amyloid deposition using

Indexed as

Alzheimer’s diseasebeta-amyloidglymphatic fluid volumemagnetic resonance imaging (MRI)parenchymal CSF mapping

Identifiers

PMID40462860
PMCPMC12130685

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.