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Physical fatigue increases neural activation during eyes-closed state: a magnetoencephalography study

Overview of attention for article published in Behavioral and Brain Functions, November 2015
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Title
Physical fatigue increases neural activation during eyes-closed state: a magnetoencephalography study
Published in
Behavioral and Brain Functions, November 2015
DOI 10.1186/s12993-015-0079-3
Pubmed ID
Authors

Masaaki Tanaka, Akira Ishii, Yasuyoshi Watanabe

Abstract

Fatigue, defined as difficulty initiating or sustaining voluntary activities, can be classified as physical or mental. In this study, we use magnetoencephalography (MEG) to quantify the effect of physical fatigue on neural activity under the condition of simulated physical load. Thirteen healthy right-handed male volunteers participated in this study. The experiment consisted of one fatigue-inducing physical task session performed between two MEG sessions. During the 10-min physical task session, participants performed maximum-effort handgrips with the left hand lasting 1 s every 4 s; during MEG sessions, 3-min recordings were made during the eyes-closed state. MEG data were analyzed using narrow-band adaptive spatial filtering methods. Alpha-frequency band (8-13 Hz) power in the left postcentral gyrus, precentral gyrus, and middle frontal gyrus (Brodmann's areas 1, 2, 3, 4, 6, and 46) were decreased after performing the physical fatigue-inducing task. These results show that performing the physical fatigue-inducing task caused activation of the left sensorimotor and prefrontal areas, manifested as decreased alpha-frequency band power in these brain areas. Our results increase understanding of the neural mechanisms of physical fatigue.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 36%
Student > Bachelor 4 11%
Researcher 4 11%
Student > Ph. D. Student 4 11%
Professor 3 8%
Other 3 8%
Unknown 5 14%
Readers by discipline Count As %
Sports and Recreations 7 19%
Medicine and Dentistry 6 17%
Business, Management and Accounting 3 8%
Engineering 3 8%
Nursing and Health Professions 2 6%
Other 6 17%
Unknown 9 25%