ArticleEntropy (Basel, Switzerland)2019
Brain Complex Network Characteristic Analysis of Fatigue during Simulated Driving Based on Electroencephalogram Signals.
Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Heartfulness Meditation-induced State and Trait Effects on Long-term, Short-term and Non-meditators Using Connectivity Analysis: An EEG Study on Prefrontal Cortex.Annals of neurosciences · 2026Article
- Fatigue Characterization Multimodal Datasets for Stereo Vision in Mixed Reality.Scientific data · 2025Article
- A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition.Scientific reports · 2025Article
- Fatigue Characterization of EEG Brain Networks Under Mixed Reality Stereo Vision.Brain sciences · 2024Article
- The architecture of functional brain network modulated by driving under train running noise exposure.PloS one · 2024Article
- Augmented Recognition of Distracted Driving State Based on Electrophysiological Analysis of Brain Network.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- MALDI IMS-Derived Molecular Contour Maps: Augmenting Histology Whole-Slide Images.Journal of the American Society for Mass Spectrometry · 2023Article
- Utilizing EEG and fNIRS for the detection of sleep-deprivation-induced fatigue and its inhibition using colored light stimulation.Scientific reports · 2023Article
- Altered Functional Brain Network Structure between Patients with High and Low Generalized Anxiety Disorder.Diagnostics (Basel, Switzerland) · 2023Article
- Article
- Brain optimization with additional study time: potential brain differences between high- and low-performance college students.Frontiers in psychology · 2023Article
- Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model.Entropy (Basel, Switzerland) · 2022Article
- Modeling Brain Functional Connectivity Patterns during an Isometric Arm Force Exertion Task at Different Levels of Perceived Exertion: A Graph Theoretical Approach.Brain sciences · 2022Article
- ADTIDO: Detecting the Tired Deck Officer with Fusion Feature Methods.Sensors (Basel, Switzerland) · 2022Article
- Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals.Entropy (Basel, Switzerland) · 2022Article
- [Research progress and application of transfer entropy algorithm].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- EEG-based brain functional connectivity representation using amplitude locking value for fatigue-driving recognition.Cognitive neurodynamics · 2022Article
- Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments.PloS one · 2022Article
- Fatigue Detection with Spatial-Temporal Fusion Method on Covariance Manifolds of Electroencephalography.Entropy (Basel, Switzerland) · 2021Article
- Causality-Network-Based Critical Hazard Identification for Railway Accident Prevention: Complex Network-Based Model Development and Comparison.Entropy (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Fatigued driving is one of the major causes of traffic accidents. Frequent repetition of driving behavior for a long time may lead to driver fatigue, which is closely related to the central nervous system. In the present work, we designed a fatigue driving simulation experiment and collected the electroencephalogram (EEG) signals. Complex network theory was introduced to study the evolution of brain dynamics under different rhythms of EEG signals during several periods of the simulated driving. The results show that as the fatigue degree deepened, the functional connectivity and the clustering coefficients increased while the average shortest path length decreased for the delta rhythm. In addition, there was a significant increase of the degree centrality in partial channels on the right side of the brain for the delta rhythm. Therefore, it can be concluded that driving fatigue can cause brain complex network characteristics to change significantly for certain brain regions and certain rhythms. This exploration may provide a theoretical basis for further finding objective and effective indicators to evaluate the degree of driving fatigue and to help avoid fatigue driving.
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