Why the study?
Studies evaluating the relationship between mental fatigue and complexity loss in EEG were few and inconsistent, likely due to brain wave susceptibility to noise.
Does mental fatigue induced by a simulated flight task decrease complexity in EEG alpha rhythm in male college students?
Does mental fatigue induced by a simulated flight task decrease complexity in EEG alpha rhythm in male college students?
Multiscale entropy analysis of instantaneous frequency variation in alpha rhythm can effectively reveal complexity loss caused by mental fatigue.
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Small pre-post study links mental fatigue to EEG complexity loss in simulated flight; leaves open utility as a real-world monitoring biomarker.
Mental fatigue (MF) jeopardizes performance and safety through a variety of cognitive impairments and according to the complexity loss theory, should represent "complexity loss" in electroencephalogram (EEG). However, the studies are few and inconsistent concerning the relationship between MF and loss of complexity, probably because of the susceptibility of brain waves to noise. In this study, MF was induced in thirteen male college students by a simulated flight task. Before and at the end of the task, spontaneous EEG and auditory steady-state response (ASSR) were recorded and instantaneous frequency variation (IFV) in alpha rhythm was extracted and analyzed by multiscale entropy (MSE) analysis. The results show that there were significant differences in IFV in alpha rhythm either from spontaneous EEG or from ASSR for all subjects. Therefore, the proposed method can be effective in revealing the complexity loss caused by MF in spontaneous EEG and ASSR, which may serve as a promising analyzing method to mark mild mental impairments.
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Zhai et al. (2022) studied this question.
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