title: Fatigue induces greater brain signal reduction during sustained than preparation phase of maximal voluntary contraction.
abstract: Animal studies have shown that there are cell populations only discharging phasically before a motor task and others only active tonically during holding phase of the task. How muscle fatigue influences these two types of cell populations, however, is unknown. Because the phasic neurons are only active briefly before the task but the tonic ones are active continuously throughout the task, we hypothesized that fatigue would have a less effect on cortical signals during the preparation phase (representing phasic discharge) than that during the sustained phase (representing tonic discharge). Eight participants performed 200 handgrip maximal voluntary contractions (MVCs) with simultaneous recordings of scalp electroencephalographic (EEG), handgrip force, and finger flexor surface electromyographic (EMG) signals. Power spectrograms of the EEG during the preparation and sustained phases were analyzed in each of the five 40-trial blocks, with data from the first block representing a condition of moderate fatigue and the last, severe fatigue. Movement-related cortical potential (MRCP) was derived by trigger-averaging 40 EEG epochs in each block. The power of all EEG frequencies did not alter significantly during the preparation phase but decreased significantly during the sustained phase of the contraction. The MRCP negative potential (NP) related to motor task preparation only showed minimal changes. These results suggest that MVC-induced fatigue has differential effects on cortical signals during motor task preparation compared to its execution and maintenance. The signals of the two phases may represent activities of the two cortical cell populations previously found by animal studies.
authors.affiliation: Department of Biomedical Engineering, Lerner Research Institute, The Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
authors.forename: Jing Z
authors.initials: JZ
authors.lastname: Liu
authors.forename: Bing
authors.initials: B
authors.lastname: Yao
authors.forename: Vlodek
authors.initials: V
authors.lastname: Siemionow
authors.forename: Vinod
authors.initials: V
authors.lastname: Sahgal
authors.forename: Xiaofeng
authors.initials: X
authors.lastname: Wang
authors.forename: Jiayang
authors.initials: J
authors.lastname: Sun
authors.forename: Guang H
authors.initials: GH
authors.lastname: Yue
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D001921:Brain / Q000503:physiopathology*; D004569:Electroencephalography; D004576:Electromyography / Q000379:methods; D005074:Evoked Potentials, Visual / Q000502:physiology; D005221:Fatigue / Q000503:physiopathology*; D005260:Female; D007839:Functional Laterality / Q000502:physiology; D018737:Hand Strength / Q000502:physiology; D006801:Humans; D007537:Isometric Contraction / Q000502:physiology*; D008297:Male; D018482:Muscle, Skeletal / Q000503:physiopathology*; D010775:Photic Stimulation / Q000379:methods; D011930:Reaction Time / Q000502:physiology; D013057:Spectrum Analysis; D013997:Time Factors