Evidence map›Paper›PMID 39072981›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Structure-function coupling reveals the brain hierarchical structure dysfunction in Alzheimer's disease: A multicenter study.

Yibao Sun, Pan Wang, Kun Zhao, Pindong Chen, Yida Qu, Zhuangzhuang Li, Suyu Zhong, Bo Zhou, Jie Lu, Xi Zhang and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  8. Disrupted Brain Hierarchical Organization in Alzheimer's Disease Progression.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Article
  10. Article
  11. Spotlight on Alzheimer's disease and related dementias research in East Asia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. 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

14 authors.

Yibao SunCenter for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Pan WangDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Kun ZhaoCenter for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Pindong ChenSchool of Artificial Intelligence, University of Chinese Academy of Sciences & Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Yida QuSchool of Artificial Intelligence, University of Chinese Academy of Sciences & Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Zhuangzhuang LiCenter for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Suyu ZhongCenter for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Bo ZhouDepartment of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Jie LuDepartment of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Xi ZhangDepartment of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Dawei WangDepartment of Radiology, School of Public Health, Qilu Hospital of Shandong University & Department of Epidemiology and Health Statistics, Jinan, China.
Ying HanSchool of Biomedical Engineering, Hainan University, Haikou, China.
Hongxiang YaoDepartment of Radiology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Yong LiuCenter for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.ORCID 0000-0002-1862-3121

Funding

Beijing Nova Program 20220484177Fundamental Research Funds for the Central Universities 2021XD-A03National Natural Science Foundation of China 62333002National Natural Science Foundation of China 82172018Science and Technology Project of Tianjin Municipal Health Committee TJWJ2022MS032the Beijing Municipal Natural Science Foundation 7244519the Science and Technology Innovation 2030 Major 2022ZD0211600Tianjin Key Medical Discipline (Specialty) Construction TJYXZDXK-052B
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is a neurodegenerative condition characterized by cognitive decline. To date, the specific dysfunction in the brain's hierarchical structure in AD remains unclear.

methodsWe introduced the structural decoupling index (SDI), based on a multi-site data set comprising functional and diffusion-weighted magnetic resonance imaging data from 793 subjects, to assess their brain hierarchy.

resultsCompared to normal controls (NCs), individuals with AD exhibited increased SDI within the posterior superior temporal sulcus, insular gyrus, precuneus, hippocampus, amygdala, postcentral gyrus, and cingulate gyrus; meanwhile, the patients with AD demonstrated decreased SDI in the frontal lobe. The SDI in those regions also showed a significant correlation with cognitive ability. Moreover, the SDI was a robust AD neuroimaging biomarker capable of accurately distinguishing diagnostic status (area under the curve [AUC] = 0.86). DISCUSSION: Our findings revealed the dysfunction of the brain's hierarchical structure in AD. Furthermore, the SDI could serve as a promising neuroimaging biomarker for AD. HIGHLIGHTS: This study utilized multi-center, multi-modal data from East Asian populations. We found an increased spatial gradient of the structure decoupling index (SDI) from sensory-motor to higher-order cognitive regions. Changes in SDI are associated with energy metabolism and mitochondria. SDI can identify Alzheimer's disease (AD) and further uncover the disease mechanisms of AD.

Indexed as

Alzheimer DiseaseBrainMagnetic Resonance ImagingAgedCognitive DysfunctionDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedNeuroimagingAlzheimer's diseasehierarchical structuremulti‐modal brain networkmulti‐sitestructural decoupling index

Identifiers

PMID39072981
PMCPMC11497717

What OpenQuestion holds

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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.