Evidence map›Paper›PMID 32462815›Full record

ArticleBrain and behavior2020

Alterations of local functional connectivity in lifespan: A resting-state fMRI study.

Xin Wen, Hui He, Li Dong, Junjie Chen, Jie Yang, Hao Guo, Cheng Luo, Dezhong Yao

Abstract read
In one paragraph

Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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  5. Resting-state functional connectivity correlates of brain structural aging in schizophrenia.European archives of psychiatry and clinical neuroscience · 2025
    Article
  6. Article
  7. Protective role of parenthood on age-related brain function in mid- to late-life.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Co-sparse Non-negative Matrix Factorization.Frontiers in neuroscience · 2021
    Article
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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

8 authors.

Xin WenCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.ORCID 0000-0003-2363-1190
Hui HeThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
Li DongThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
Junjie ChenCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Jie YangSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Hao GuoCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Cheng LuoThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0003-0524-5886
Dezhong YaoThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

Funding

National Natural Science Foundation of China 61672374National Natural Science Foundation of China 61876124National Natural Science Foundation of China 81701778National Natural Science Foundation of China 81861128001The Sichuan Science and Technology Program 2018JZ0073The Sichuan Science and Technology Program 2019YJ0179
6 · The paper itself

Abstract

introductionAs aging attracted attention globally, revealing changes in brain function across the lifespan was largely concerned. In this study, we aimed to reveal the changes of functional networks of the brain (via local functional connectivity, local FC) in lifespan and explore the mechanism underlying them. MATERIALS AND

methodsA total of 523 healthy participants (258 males and 265 females) aged 18-88 years from part of the Cambridge Center for Ageing and Neuroscience (CamCAN) were involved in this study. Next, two data-driven measures of local FC, local functional connectivity density (lFCD) and four-dimensional spatial-temporal consistency of local neural activity (FOCA), were calculated, and then, general linear models were used to assess the changes of them in lifespan.

resultsLocal functional connectivity (lFCD and FOCA) within visual networks (VN), sensorimotor network (SMN), and default mode network (DMN) decreased across the lifespan, while within basal ganglia network (BGN), local connectivity was increased across the lifespan. And, the fluid intelligence decreased within BGN while increased within VN, SMN, and DMN.

conclusionThese results might suggest that the decline of executive control and intrinsic cognitive ability in the aging population was related to the decline of functional connectivity in VN, SMN, and DMN. Meanwhile, BGN might play a regulatory role in the aging process to compensate for the dysfunction of other functional systems. Our findings may provide important neuroimaging evidence for exploring the brain functional mechanism in lifespan.

Indexed as

Brain MappingMagnetic Resonance ImagingAdolescentAdultAgedAged, 80 and overAgingBrainFemaleHumansLongevityMaleMiddle AgedNeural PathwaysRestYoung Adultfour-dimensional spatial-temporal consistency of local neural activitylifespanlocal functional connectivitylocal functional connectivity densityresting-state fMRI

Identifiers

PMID32462815
PMCPMC7375100

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LicenceCC BY
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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.