Evidence map›Paper›PMID 38824231›Full record

SynthesisNeuroscience bulletin2024

Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer's Disease: A Data-Driven Meta-Analysis with N = 3,118.

Xiaopeng Kang, Dawei Wang, Jiaji Lin, Hongxiang Yao, Kun Zhao, Chengyuan Song, Pindong Chen, Yida Qu, Hongwei Yang, Zengqiang Zhang and 17 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Neuroscience bulletin, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

27 authors.

Xiaopeng Kang *School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Dawei Wang *Department of Radiology, Qilu Hospital of Shandong University, Ji'nan, 250063, China.
Jiaji Lin *Department of Neurology, the Second Affiliated Hospital of Air Force Medical University, Xi'an, 710032, China.
Hongxiang YaoDepartment of Radiology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Kun ZhaoSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100191, China.
Chengyuan SongDepartment of Neurology, Qilu Hospital of Shandong University, Ji'nan, 250063, China.
Pindong ChenSchool of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yida QuSchool of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Hongwei YangDepartment of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
Zengqiang ZhangBranch of Chinese, PLA General Hospital, Sanya, 572013, China.
Bo ZhouDepartment of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Tong HanDepartment of Radiology, Tianjin Huanhu Hospital, Tianjin, 300222, China.
Zhengluan LiaoDepartment of Psychiatry, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
Yan ChenDepartment of Psychiatry, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
Jie LuDepartment of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
Chunshui YuDepartment of Radiology, Tianjin Medical University General Hospital, Tianjin, 300070, China.
Pan WangDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, 300222, China.
Xinqing ZhangDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
Ming LiKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China.
Xi ZhangDepartment of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Tianzi JiangSchool of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yuying ZhouDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, 300222, China.
Bing LiuSchool of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Ying HanDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China. hanying@xwh.ccmu.edu.cn.
Yong LiuSchool of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China. yongliu@bupt.edu.cn.
Alzheimer’s Disease Neuroimaging Initiative
Multi-Center Alzheimer’s Disease Imaging (MCADI) Consortium

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

The current study aimed to evaluate the susceptibility to regional brain atrophy and its biological mechanism in Alzheimer's disease (AD). We conducted data-driven meta-analyses to combine 3,118 structural magnetic resonance images from three datasets to obtain robust atrophy patterns. Then we introduced a set of radiogenomic analyses to investigate the biological basis of the atrophy patterns in AD. Our results showed that the hippocampus and amygdala exhibit the most severe atrophy, followed by the temporal, frontal, and occipital lobes in mild cognitive impairment (MCI) and AD. The extent of atrophy in MCI was less severe than that in AD. A series of biological processes related to the glutamate signaling pathway, cellular stress response, and synapse structure and function were investigated through gene set enrichment analysis. Our study contributes to understanding the manifestations of atrophy and a deeper understanding of the pathophysiological processes that contribute to atrophy, providing new insight for further clinical research on AD.

Indexed as

Alzheimer DiseaseAtrophyBrainCognitive DysfunctionMagnetic Resonance ImagingNeuroimagingHumansAlzheimer’s diseaseBrain atrophyGene set enrichment analysisMeta-analysisStructural magnetic resonance imaging

Identifiers

PMID38824231
PMCPMC11365916

What OpenQuestion holds

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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 OpenQuestion graph.