Evidence map›Paper›PMID 33159547›Full record

ArticleBrain structure & function2021

Structural and functional brain signatures of endurance runners.

Long Cao, Yuanchao Zhang, Ruiwang Huang, Lunxiong Li, Fengguang Xia, Liye Zou, Qian Yu, Jingyuan Lin, Fabian Herold, Stephane Perrey and 9 more

Abstract read
PubMed Publisher
In one paragraph

Article in Brain structure & function, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% of its field
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, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Cognitive correlates of human endurance.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

19 authors at 7 institutions in 4 countries.

Long CaoKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Yuanchao ZhangKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China. yuanchao.zhang8@gmail.com.ORCID http://orcid.org/0000-0001-8191-4899
Ruiwang HuangSchool of Psychology, South China Normal University, Guangzhou, 510631, China.
Lunxiong LiInstitute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, China.
Fengguang XiaInstitute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, China.
Liye ZouExercise and Mental Health Laboratory, Shenzhen University, Shenzhen, 518060, China.
Qian YuExercise and Mental Health Laboratory, Shenzhen University, Shenzhen, 518060, China.
Jingyuan LinExercise and Mental Health Laboratory, Shenzhen University, Shenzhen, 518060, China.
Fabian HeroldResearch Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120, Magdeburg, Germany.
Stephane PerreyEuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
Patrick MuellerResearch Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120, Magdeburg, Germany.
Milos DordevicResearch Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120, Magdeburg, Germany.
Paul D LoprinziExercise & Memory Laboratory, Department of Health, Exercise Science, and Recreation Management, The University of Mississippi, University, MS, USA.
Yue WangKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Yudan MaJilin Institute of Sport Science, Changchun, 130022, China.
Hongfa ZengDepartment of Physical Education, Shenzhen University, Shenzhen, 518060, China.
Sicen QuDepartment of Physical Education, Shenzhen University, Shenzhen, 518060, China.
Jinlong WuDepartment of Physical Education, Shenzhen University, Shenzhen, 518060, China.
Zhanbing RenDepartment of Physical Education, Shenzhen University, Shenzhen, 518060, China. rzb@szu.edu.cn.
Shenzhen University · CNGerman Center for Neurodegenerative Diseases · DESouth China Normal University · CNUniversity of Electronic Science and Technology of China · CNChina Institute of Sport Science · CNUniversité de Montpellier · FRUniversity of Mississippi · US

Funding

Fundamental Research Funds for the Central Universities (CN) 2672018ZYGX2018J075Humanities and Social Science of Shenzhen University 17QNFC59National Natural Science Foundation of China 11002036
6 · The paper itself

Abstract

Although endurance running (ER) seems to be a simple repetitive exercise, good ER performance also requires and relies on multiple cognitive and motor control processes. Most of previous neuroimaging studies on ER were conducted using a single MRI modality, yet no multimodal study to our knowledge has been performed in this regard. In this study, we used multimodal MRI data to investigate the brain structural and functional differences between endurance runners (n = 22; age = 26.27 ± 6.07 years; endurance training = 6.23 ± 2.41 years) and healthy controls (HCs; n = 20; age = 24.60 ± 4.14 years). Compared with the HCs, the endurance runners showed greater gray matter volume (GMV) and cortical surface area in the left precentral gyrus, which at the same time had higher functional connectivity (FC) with the right postcentral and precentral gyrus. Subcortically, the endurance runners showed greater GMV in the left hippocampus and regional inflation in the right hippocampus. Using the bilateral hippocampi as seeds, further seed-based FC analyses showed higher hippocampal FC with the supplementary motor area, middle cingulate cortex, and left posterior lobe of the cerebellum. Moreover, compared with the HCs, the endurance runners also showed higher fractional anisotropy in several white matter regions, involving the corpus callosum, left internal capsule, left corona radiata, left external capsule, left posterior lobe of cerebellum and bilateral precuneus. Taken together, our findings provide several lines of evidence for the brain structural and functional differences between endurance runners and HCs. The current data suggest that these brain characteristics may have arisen as a result of regular ER training; however, whether they represent the neural correlates underlying the good ER performances of the endurance runners requires further investigations.

Indexed as

AthletesRunningAdultBrainHumansMagnetic Resonance ImagingMaleNerve NetNeuroimagingPhysical EnduranceWhite MatterYoung AdultEndurance runningFractional anisotropyFunctional connectivityGray matter morphologyHippocampusPrecentral gyrus

Identifiers

PMID33159547
OpenAlexW3097585824

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.