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The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG
by
Huang, Shan
, Xu, Wanxiu
, Jiang, Yonghua
, Li, Gang
, Gao, Zhao
, Zhang, Jianhua
, Jiao, Weidong
in
Adult
/ Animal Models
/ Biomedical and Life Sciences
/ Biomedicine
/ Brain
/ Brain - physiology
/ Brain Mapping
/ Cognition and Behavior
/ Cognitive ability
/ Comparative analysis
/ Comparative studies
/ Data acquisition
/ Drowsiness
/ EEG
/ Electroencephalography
/ Electroencephalography - methods
/ Fatigue
/ Humans
/ Male
/ Mental fatigue
/ Mental Fatigue - physiopathology
/ Mental task performance
/ Neurobiology
/ Neurosciences
/ Research Article
/ Researchers
/ Rest - physiology
/ Resting state
/ Rhythm
/ Sleep
/ Statistical analysis
/ Statistics
/ Studies
/ Task state
/ Topography
/ Wakefulness - physiology
/ Young Adult
2020
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The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG
by
Huang, Shan
, Xu, Wanxiu
, Jiang, Yonghua
, Li, Gang
, Gao, Zhao
, Zhang, Jianhua
, Jiao, Weidong
in
Adult
/ Animal Models
/ Biomedical and Life Sciences
/ Biomedicine
/ Brain
/ Brain - physiology
/ Brain Mapping
/ Cognition and Behavior
/ Cognitive ability
/ Comparative analysis
/ Comparative studies
/ Data acquisition
/ Drowsiness
/ EEG
/ Electroencephalography
/ Electroencephalography - methods
/ Fatigue
/ Humans
/ Male
/ Mental fatigue
/ Mental Fatigue - physiopathology
/ Mental task performance
/ Neurobiology
/ Neurosciences
/ Research Article
/ Researchers
/ Rest - physiology
/ Resting state
/ Rhythm
/ Sleep
/ Statistical analysis
/ Statistics
/ Studies
/ Task state
/ Topography
/ Wakefulness - physiology
/ Young Adult
2020
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The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG
by
Huang, Shan
, Xu, Wanxiu
, Jiang, Yonghua
, Li, Gang
, Gao, Zhao
, Zhang, Jianhua
, Jiao, Weidong
in
Adult
/ Animal Models
/ Biomedical and Life Sciences
/ Biomedicine
/ Brain
/ Brain - physiology
/ Brain Mapping
/ Cognition and Behavior
/ Cognitive ability
/ Comparative analysis
/ Comparative studies
/ Data acquisition
/ Drowsiness
/ EEG
/ Electroencephalography
/ Electroencephalography - methods
/ Fatigue
/ Humans
/ Male
/ Mental fatigue
/ Mental Fatigue - physiopathology
/ Mental task performance
/ Neurobiology
/ Neurosciences
/ Research Article
/ Researchers
/ Rest - physiology
/ Resting state
/ Rhythm
/ Sleep
/ Statistical analysis
/ Statistics
/ Studies
/ Task state
/ Topography
/ Wakefulness - physiology
/ Young Adult
2020
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The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG
Journal Article
The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG
2020
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Overview
Background
Mental fatigue is usually caused by long-term cognitive activities, mainly manifested as drowsiness, difficulty in concentrating, decreased alertness, disordered thinking, slow reaction, lethargy, reduced work efficiency, error-prone and so on. Mental fatigue has become a widespread sub-health condition, and has a serious impact on the cognitive function of the brain. However, seldom studies investigate the differences of mental fatigue on electrophysiological activity both in resting state and task state at the same time. Here, twenty healthy male participants were recruited to do a consecutive mental arithmetic tasks for mental fatigue induction, and electroencephalogram (EEG) data were collected before and after each tasks. The power and relative power of five EEG rhythms both in resting state and task state were analyzed statistically.
Results
The results of brain topographies and statistical analysis indicated that mental arithmetic task can successfully induce mental fatigue in the enrolled subjects. The relative power index was more sensitive than the power index in response to mental fatigue, and the relative power for assessing mental fatigue was better in resting state than in task state. Furthermore, we found that it is of great physiological significance to divide alpha frequency band into alpha1 band and alpha2 band in fatigue related studies, and at the same time improve the statistical differences of sub-bands.
Conclusions
Our current results suggested that the brain activity in mental fatigue state has great differences in resting state and task state, and it is imperative to select the appropriate state in EEG data acquisition and divide alpha band into alpha1 and alpha2 bands in mental fatigue related researches.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
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