Evidence map›Paper›PMID 40488912›Full record

ArticleEJNMMI physics2025

Brain tau PET-based identification and characterization of subpopulations in patients with Alzheimer's disease using deep learning-derived saliency maps.

Yanxiao Li, Xiuying Wang, Qi Ge, Manuel B Graeber, Shaozhen Yan, Jian Li, Shuyu Li, Wenjian Gu, Shuo Hu, Tammie L S Benzinger and 2 more

Abstract read
In one paragraph

Article in EJNMMI physics, 2025. 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. Cerebral Amyloid Deposition WithHuman brain mapping · 2025
    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

12 authors.

Yanxiao LiSchool of Computer Science, The University of Sydney, Sydney, NSW, 2006, Australia.
Xiuying WangSchool of Computer Science, The University of Sydney, Sydney, NSW, 2006, Australia. xiu.wang@sydney.edu.au.ORCID http://orcid.org/0000-0001-7160-5929
Qi GeCentral Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, 201807, China.
Manuel B GraeberUniversity of Sydney Association of Professors (USAP), University of Sydney, Sydney, NSW, Australia.
Shaozhen YanDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Jian LiDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, China.
Shuyu LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Wenjian GuCentral Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, 201807, China.
Shuo HuDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, China.
Tammie L S BenzingerMallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA.
Jie LuDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. imaginglu@hotmail.com.ORCID http://orcid.org/0000-0003-0425-3921
Yun ZhouCentral Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, 201807, China. yun.zhou@united-imaging.com.ORCID http://orcid.org/0000-0001-9135-336X

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Key Research and Development Program of China 2022YFC24069004NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is a heterogeneous neurodegenerative disorder in which tau neurofibrillary tangles are a pathological hallmark closely associated with cognitive dysfunction and neurodegeneration. In this study, we used brain tau data to investigate AD heterogeneity by identifying and characterizing the subpopulations among patients. We included 615 cognitively normal and 159 AD brain

resultsTwo distinct subpopulations of AD patients were revealed, denoted as S

conclusionOur results suggest that tau tangles, as shown by SUVR, continue to accumulate even when cognitive function plateaus in AD patients, highlighting the advantages of PET in later disease stages. The differing relationships between cognition and tau deposition, and between gender, APOE4, and tau deposition, provide potential for subtype-specific treatments. Targeting gender-specific and genetic factors influencing tau deposition, as well as interventions aimed at tau's impact on cognition, may be effective.

Indexed as

Alzheimer’s diseaseApolipoprotein ECognitiveDeep learningHeterogeneityNeuropsychological measuresSaliency mapTau PET

Identifiers

PMID40488912
PMCPMC12149067

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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.