Evidence map›Paper›PMID 40493890›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Advanced brain aging, selective vulnerability in gray matter, and cognition in Parkinson's disease.

Mengfei Cai, Chentao He, Hao Li, Rui Yang, Siming Rong, Ziqi Gao, Qibing Luo, Zihao Li, Yan Li, Zaiyi Liu and 2 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Mengfei CaiGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0003-0927-2558
Chentao HeDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Hao LiDepartment of Neurology, Radboud Institute for Medical research and Innovation and Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-2125-9092
Rui YangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Siming RongDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Ziqi GaoDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qibing LuoDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zihao LiDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yan LiDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zaiyi LiuDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Piao ZhangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yuhu ZhangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

Funding

China Postdoctoral Science Foundation 2023M730742Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application 2022B1212010011Key Research and Development Program of Guangzhou 202206010086National Natural Science Foundation of China 82071419National Natural Science Foundation of China 82301663
6 · The paper itself

Abstract

backgroundTo identify the most vulnerable brain regions in gray matter attributable to advanced brain aging and examine the cognitive correlates of advanced brain aging in Parkinson's disease (PD).

methodsOne hundred twenty-five early-stage PD patients with both structural, diffusion MRI and DAT-SPECT data available were included at baseline (year 0) from Parkinson's Progression Markers Initiative, with neuroimaging follow-up at year 1, 2, 4. Annual assessment of cognition was performed in 5 years. The relationships between brain-predicted age difference (PAD), free water (FW) in cortical and subcortical gray matter, and cognition were examined with linear regression and linear mixed-effects model. Cox proportional hazards model was used to investigate the relation between brain PAD and the risk of conversion to mild cognitive impairment (MCI).

resultsOne hundred twenty-five PD patients with a mean (SD) chronological age of 60.99 (9.50) years and 82 (65.6%) were men. Brain PAD followed a non-linear progression pattern over time (P = .028). Brain PAD was differentially associated with FW in cortical and subcortical gray matter, with the most preferentially vulnerable regions identified as temporal cortex, striatum, hippocampus, and cholinergic basal forebrain. Baseline brain PAD was associated with cognitive deficits and the conversion to MCI during the 5-year follow-up.

conclusionsOur findings suggest that brain PAD offers potential in pinpointing regions most susceptible to accelerated brain aging and identifying patients with Parkinson's disease who are at an increased risk of converting to mild cognitive impairment. .

Indexed as

AgingBrainCognitionCognitive DysfunctionGray MatterParkinson DiseaseAgedDisease ProgressionFemaleHumansMaleMiddle AgedTomography, Emission-Computed, Single-Photonbrain agemild cognitive impairmentneuroimagingParkinson’s diseaseregional vulnerability

Identifiers

PMID40493890
PMCPMC12398390

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LicenceCC BY-NC
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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.