ArticlePloS one2020
Increased functional dynamics in civil aviation pilots: Evidence from a neuroimaging study.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Spectral dynamic causal modeling of effective connectivity across multiple brain networks in pilot trainees.iScience · 2026Article
- Development of a multimodal magnetic resonance imaging-based machine learning prediction model for flight cadets.Scientific reports · 2026Article
- Machine learning-based identification and brain network characterization of flight cadets compared with air traffic control (ATC) students using static and dynamic functional connectivity.Frontiers in human neuroscience · 2026Article
- Article
- A study of dynamic functional connectivity changes in flight trainees based on a triple network model.Scientific reports · 2025Article
- Recognition of flight cadets brain functional magnetic resonance imaging data based on machine learning analysis.PloS one · 2025Article
- Neuroadaptive changes in brain structural-functional coupling among pilots.Frontiers in neuroscience · 2025Article
- Flight training and alterations in cortical characteristics.Frontiers in human neuroscience · 2025Article
- Flight training and the anterior cingulate cortex.Scientific reports · 2024Article
- Brain structure variability study in pilots based on VBM.PloS one · 2023Article
- Flight training changes the brain functional pattern in cadets.Frontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Civil aviation is a distinctive career. Pilots need to monitor the entire system in real time. However, the psychophysiological mechanism of flying is largely unknown. The human brain is a large-scale interconnected organization, and many stable intrinsic large-scale brain networks have been identified. Among them are three core neurocognitive networks: default mode network (DMN), central executive network (CEN), and salience network (SN). These three networks play a critical role in human cognition. This study aims to examine the dynamic properties of the three large-scale brain networks in civil aviation pilots. We collected resting-state functional magnetic resonance imaging data from pilots. Independent component analysis, which is a data-driven approach, was combined with sliding window dynamic functional connectivity analysis to detect the dynamic properties of large-scale brain networks. Our results revealed that pilots exhibit an increased interaction of the CEN with the DMN and the SN along with a decreased interaction within the CEN. In addition, the temporal properties of functional dynamics (number of transitions) increased in pilots compared to healthy controls. In general, pilots exhibited increased between-network functional connectivity, decreased within-network functional connectivity, and a higher number of transitions. These findings suggest that pilots might have better functional dynamics and cognitive flexibility.
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