Development and recovery time of mental fatigue and its impact on motor function

Magnuson, Justine R.; Doesburg, Sam M.; McNeil, Chris J.

doi:10.1016/j.biopsycho.2021.108076

Cited by 22 publications

(15 citation statements)

References 44 publications

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“…However, these mechanisms of the negative effects of MF on performance remain mostly theoretical, as most sport science MF studies use circumstantial evidence (i.e., peripheral physiological and subjective outcomes) and fail to incorporate objective measures of the brain, such as electroencephalography (EEG) [ 18 ]. Particular EEG outcomes of interest include event-related potentials (ERPs) [ 26 , 27 ] and spectral power analysis (SPA) [ 28 ]. Regarding SPA, a recent review already showed the impact on theta and alfa activity due to MF, which are linked to decreased inhibition control and alertness [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

“…This component is theorized to be a measure of, among other things, the allocation of attentional resources, a mechanism frequently associated with MF effects [ 30 , 31 ]. Other ERPs of interest in MF research include P3b [ 26 ], N2 [ 32 , 33 ] and N1 [ 32 , 33 , 34 ], with all of them connected to specific mechanisms of MF. However, the addition of EEG measures in MF research remains in its infancy, and studies investigating these measures during motor tasks are also rare [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

“…A secondary aim was to attribute possible differences in EEG activity between the MF and control condition to possible decreases in visuomotor performance. Our hypothesis was that MF would increase theta and alpha activity [ 28 ] while also decreasing the amplitude of ERPs of interest (i.e., N1, N2, P2 and P3b) during both the cognitive tasks and the TT performance task [ 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

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Mental Fatigue-Associated Decrease in Table Tennis Performance: Is There an Electrophysiological Signature?

Habay

Proost

Wachter

et al. 2021

IJERPH

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Mental fatigue (MF) is a psychobiological state negatively impacting both cognitive and physical performance. Although recent research implies that some table tennis (TT) performance outcomes are impaired by MF, open skill sports such as TT require a more detailed overview of MF-related performance decrements. Moreover, research into MF and sport-specific psychomotor performance lacks the inclusion of brain-related measurements to identify MF mechanisms. Eleven experienced TT players participated in this randomized counterbalanced crossover trial. Participants were either required to perform an individualized Stroop task (MF condition) or watch a documentary (control condition). The primary outcomes were reaction time on a sport-specific visuomotor task and EEG activity throughout the trial. The subjective feeling of MF was significantly different between both conditions and confirmed that the MF condition induced the mentally fatigue state of participants (p < 0.001), though no behavioral indicators (i.e., decrease in performance on Stroop and flanker task) of MF. MF worsened reaction time on the visuomotor task, while other secondary measurements remained largely ambiguous. Spectral power (i.e., decreases in upper α band and θ band) was influenced by MF, while ERPs measured during the visuomotor task remained unaltered. The present study confirms that MF negatively impacts table tennis performance, specifically inhibitory stimuli during the visuomotor task. These findings also further augment our understanding of the effects of MF on human performance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mental Fatigue-Associated Decrease in Table Tennis Performance: Is There an Electrophysiological Signature?

Habay

Proost

Wachter

et al. 2021

IJERPH

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“…Our study is an outlier in this regard, since a number of previous researchers found that mental fatigue can impair both physical performance (Coutinho et al, 2017;Magnuson et al, 2021;Marcora et al, 2009;Smith, Coutts, et al, 2016) and the accuracy and speed of decision-making (Smith, Zeuwts, et al, 2016). The discrepancies between our study and others may be attributable to the combined role of practice and feedback in this study, since feedback may have reduced the effect of mental fatigue on performance during the acquisition phase (Schmidt & Lee, 2005).…”

Section: Discussionmentioning

confidence: 84%

“…Mental fatigue is a psychological state that results from constant cognitive activity; it is characterized by feelings of tiredness and lack of energy (Boksem & Tops, 2008;Marcora et al, 2009). The negative effects of mental fatigue on cognitive tasks (Boksem et al, 2005(Boksem et al, , 2006 and motor tasks (Duncan et al, 2015;Habay et al, 2021;Magnuson et al, 2021) have been well demonstrated. Mental fatigue can damage the capability to maintain attentional focus (Boksem et al, 2005), monitor and adjust performance (Lorist et al, 2005), rapidly and accurately respond (Boksem et al, 2006), and identify and respond to important visual cues in action preparation (Boksem et al, 2006;Lorist et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Mental Fatigue Reduces the Benefits of Self-Controlled Feedback on Learning a Force Production Task

et al. 2021

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This study investigated the impact of mental fatigue and self-controlled versus yoked feedback on learning a force production task. We randomly assigned 44 non-athlete male students (Mage = 21.4, SD = 1.4 years) to four groups; (a) MF&SCF = mental fatigue & self-controlled feedback, (b) MF&Y = mental fatigue & yoked, (c) NMF&SCF = no mental fatigue & self-controlled feedback, and (d) NMF&Y = no mental fatigue & yoked). SCF group participants were provided feedback whenever they requested it, while YK group participants received feedback according to a schedule created by their SCF counterparts. To induce mental fatigue, participants performed a Stroop color-word task for one hour. During the acquisition (practice) phase, participants were asked to produce a given percentage of their maximum force (20%) in 12 blocks of six trials. We recorded the participants’ absolute error at the end of the acquisition phase, the immediate retention test, the first transfer test, and the second transfer test (after 24 hours and without any further mental fatigue). The acquisition phase data were analyzed in a 2 (feedback) × 2 (mental fatigue) × 12 (block) ANOVA with repeated measures on the last factor, while the retention and transfer data were analyzed in 2 (feedback) × 2 (mental fatigue) ANOVAs. We found that all four groups made significant progress during practice ( p < .001), but there were no significant group differences during this phase ( p>.05). There was a significant interaction effect of self-controlled feedback and mental fatigue at retention ( p = .018) and transfer testing ( p < .001). In the mental fatigue condition, participants in the self-controlled group had poorer learning compared to participants in the yoked group; but when not mentally fatigued, participants in the self-controlled group had better learning than those in the yoked group. These findings suggest that mental fatigue reduces typical advantages of self-controlled feedback in motor learning.

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Overview and Perspectives on the Assessment and Mitigation of Cognitive Fatigue in Operational Settings

Salomone,

Audiffren,

Berberian

2023

Cyber–Physical–Human Systems

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Development and recovery time of mental fatigue and its impact on motor function

Cited by 22 publications

References 44 publications

Mental Fatigue-Associated Decrease in Table Tennis Performance: Is There an Electrophysiological Signature?

Mental Fatigue-Associated Decrease in Table Tennis Performance: Is There an Electrophysiological Signature?

Mental Fatigue Reduces the Benefits of Self-Controlled Feedback on Learning a Force Production Task

Overview and Perspectives on the Assessment and Mitigation of Cognitive Fatigue in Operational Settings

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