ArticleScientific reports2016
Neural mechanisms to predict subjective level of fatigue in the future: a magnetoencephalography study.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Monitoring of fatigue in radiologists during prolonged image interpretation using fNIRS.Japanese journal of radiology · 2019Article
- Task-relevant cognitive and motor functions are prioritized during prolonged speed-accuracy motor task performance.Experimental brain research · 2018Article
- Glial Activation and Expression of the Serotonin Transporter in Chronic Fatigue Syndrome.Frontiers in psychiatry · 2018Review
- Correlative Evaluation of Mental and Physical Workload of Laparoscopic Surgeons Based on Surface Electromyography and Eye-tracking Signals.Scientific reports · 2017Article
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Authors and funding
3 authors.
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Abstract
Fatigue is a major contributor to workplace accidents, morbidity, and mortality. To prevent the disruption of homeostasis and to concurrently accomplish an assigned workload, it is essential to control the level of workload based on the subjective estimation of the level of fatigue that will be experienced in the near future. In this study, we aimed to clarify the neural mechanisms related to predicting subjective levels of fatigue that would be experienced 60 min later, using magnetoencephalography. Sixteen healthy male volunteers participated in this study. In relation to the prediction, a decrease of alpha band power in the right Brodmann's area (BA) 40 and BA 9 at 1200 to 1350 ms and that in the right BA 9 at 1350 to 1500 ms, and a decrease of gamma band power in the right BA 10 at 1500 to 1650 ms were observed. In addition, the decreased level of alpha band power in BA 9 at 1200 to 1350 ms was positively associated with the daily level of fatigue. These findings may help increase our understanding of the neural mechanisms activated to indicate the need to take a rest based on the prediction of the subjective fatigue in the future.
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