Evidence map›Paper›PMID 39404063›Full record

ArticleCNS neuroscience & therapeutics2024

Identifying modifiable factors associated with neuroimaging markers of brain health.

Liang-Yu Huang, Yan Fu, Yi Zhang, He-Ying Hu, Ling-Zhi Ma, Yi-Jun Ge, Yong-Li Zhao, Ya-Ru Zhang, Shi-Dong Chen, Jian-Feng Feng and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Liang-Yu HuangDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Yan FuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Yi ZhangDepartment of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
He-Ying HuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Ling-Zhi MaDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Yi-Jun GeDepartment of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
Yong-Li ZhaoDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Ya-Ru ZhangDepartment of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
Shi-Dong ChenDepartment of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
Jian-Feng FengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Wei ChengDepartment of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
Lan TanDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.ORCID 0000-0002-8759-7588
Jin-Tai YuDepartment of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.ORCID 0000-0002-7686-0547

Funding

111 Project B18015Excellence 2025 Talent Cultivation Program at Fudan University 3030277001National Natural Science Foundation of China 82071201National Natural Science Foundation of China 82071997Research Start-up Fund of Huashan Hospital 2022QD002Shanghai Municipal Science and Technology Major Project 2018SHZDZX01Shanghai Rising-Star Program 21QA1408700Shanghai Talent Development Funding for The Project 2019074the Science and Technology Innovation 2030 Major Projects 2022ZD0211600
6 · The paper itself

Abstract

aimsBrain structural alterations begin long before the presentation of brain disorders; therefore, we aimed to systematically investigate a wide range of influencing factors on neuroimaging markers of brain health.

methodsUtilizing data from 30,651 participants from the UK Biobank, we explored associations between 218 modifiable factors and neuroimaging markers of brain health. We conducted an exposome-wide association study using the least absolute shrinkage and selection operator (LASSO) technique. Restricted cubic splines (RCS) were further employed to estimate potential nonlinear correlations. Weighted standardized scores for neuroimaging markers were computed based on the estimates for individual factors. Finally, stratum-specific analyses were performed to examine differences in factors affecting brain health at different ages.

resultsThe identified factors related to neuroimaging markers of brain health fell into six domains, including systematic diseases, lifestyle factors, personality traits, social support, anthropometric indicators, and biochemical markers. The explained variance percentage of neuroimaging markers by weighted standardized scores ranged from 0.5% to 7%. Notably, associations between systematic diseases and neuroimaging markers were stronger in older individuals than in younger ones.

conclusionThis study identified a series of factors related to neuroimaging markers of brain health. Targeting the identified factors might help in formulating effective strategies for maintaining brain health.

Indexed as

BrainNeuroimagingAdultAgedBiomarkersFemaleHumansLife StyleMagnetic Resonance ImagingMaleMiddle AgedUnited KingdomBiomarkersbrain healthexposome‐wide association studymagnetic resonance imagingUK biobank

Identifiers

PMID39404063
PMCPMC11474882

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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.