Evidence map›Paper›PMID 41036167›Full record

ArticleFrontiers in human neuroscience2025

Flight training and alterations in cortical characteristics.

Xi Chen, Qi Chu, Hongming Wang, Xi Tan, Mingjun Duan, Cheng Luo

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2025. 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. Review
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

6 authors.

Xi ChenThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
Qi ChuInstitute of Flight Technology, Civil Aviation Flight University of China, Guanghan, China.
Hongming WangThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
Xi TanThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
Mingjun DuanThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Piloting is a highly specialized profession. The purpose of this study was to investigate the effects of longitudinal flight training on the cortical characteristics of the brain. Methods: Magnetic resonance imaging of 25 flight cadets and 24 controls was performed twice over a 2-year period. The gray matter thickness, cortical surface area and sulcal depth of the two groups were compared. The relationships between altered cortical characteristics and flight training days were investigated through correlation analysis. Results: The results indicated that flight training was associated with certain parameters of brain structure. Specifically, in the left rostral anterior cingulate area, the flight group displayed prominent gyri, whereas the control group exhibited sulci. The structural changes in these two groups followed completely opposite trends. Conclusion: In conclusion, the affected areas are primarily concentrated in brain regions associated with multisensory integration and multitasking, which may reflect neural adaptations induced by flight training.

Indexed as

cortical characteristicscortical surface areaflight cadetsflight traininggray matter thicknesssulcal depth

Identifiers

PMID41036167
PMCPMC12479415

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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.