The Effect of Mental Fatigue on Response Processes: An ERP Study in Go/NoGo Task

Fan, Xing; Zhao, Chaoyi; Luo, Hong; Zhang, Wei

doi:10.1007/978-3-319-94866-9_5

Cited by 2 publications

(3 citation statements)

References 21 publications

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“…For instance, physically active, fit individuals demonstrate increased P3 amplitudes and reduced P3 latencies compared to sedentary individuals (110,111), and previous studies have highlighted the poor physical state of Swedish inpatient MDOs (112). Furthermore, we did not assess any potential effects of mental fatigue, which has been shown to lead to lower NoGo P3 amplitudes (113,114). Finally, MDOs' pharmacological treatment may also have affected our results.…”

Section: Discussionmentioning

confidence: 86%

Trait Disinhibition and NoGo Event-Related Potentials in Violent Mentally Disordered Offenders and Healthy Controls

et al. 2020

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Trait disinhibition may function as a dispositional liability toward maladaptive behaviors relevant in the treatment of mentally disordered offenders (MDOs). Reduced amplitude and prolonged latency of the NoGo N2 and P3 event-related potentials have emerged as promising candidates for transdiagnostic, biobehavioral markers of trait disinhibition, yet no study has specifically investigated these two components in violent, inpatient MDOs. Here, we examined self-reported trait disinhibition, experimentally assessed response inhibition, and NoGo N2 and P3 amplitude and latency in male, violent MDOs (N = 27) and healthy controls (N = 20). MDOs had a higher degree of trait disinhibition, reduced NoGo P3 amplitude, and delayed NoGo P3 latency compared to controls. The reduced NoGo P3 amplitude and delayed NoGo P3 latency in MDOs may stem from deficits during monitoring or evaluation of behavior. NoGo P3 latency was associated with increased trait disinhibition in the whole sample, suggesting that trait disinhibition may be associated with reduced neural efficiency during later stages of outcome monitoring or evaluation. Findings for NoGo N2 amplitude and latency were small and non-robust. With several limitations in mind, this is the first study to demonstrate attenuated NoGo P3 amplitude and delayed NoGo P3 latency in violent, inpatient MDOs compared to healthy controls.

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Section: Discussionmentioning

confidence: 86%

Trait Disinhibition and NoGo Event-Related Potentials in Violent Mentally Disordered Offenders and Healthy Controls

et al. 2020

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“…The questions and possible answers from the FAS are presented in Figure S1 (see Supplemental Material). According to [71], the FAS total score can be classified into three classes: no fatigue (1-21), substantial fatigue (22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35) and extreme fatigue (36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50). From the 17 participants, 3 were in the no fatigue class (19 ± 2), 8 in substantial fatigue (27 ± 3), and 6 (37 ± 3) in extreme fatigue.…”

Section: Fatigue Assessment Scalementioning

confidence: 99%

“…There are also studies on time-locked event-related potentials (ERP) in EEG to observe changes in temporal aspects of brain response in fatigued users [46,47]. The P300 waveform is widely used in a BCI context, as well as for mental fatigue evaluation [48][49][50].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study

Ramírez-Moreno

Carrillo-Tijerina

Candela-Leal

et al. 2021

IJERPH

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Non-pathological mental fatigue is a recurring, but undesirable condition among people in the fields of office work, industry, and education. This type of mental fatigue can often lead to negative outcomes, such as performance reduction and cognitive impairment in education; loss of focus and burnout syndrome in office work; and accidents leading to injuries or death in the transportation and manufacturing industries. Reliable mental fatigue assessment tools are promising in the improvement of performance, mental health and safety of students and workers, and at the same time, in the reduction of risks, accidents and the associated economic loss (e.g., medical fees and equipment reparations). The analysis of biometric (brain, cardiac, skin conductance) signals has proven to be effective in discerning different stages of mental fatigue; however, many of the reported studies in the literature involve the use of long fatigue-inducing tests and subject-specific models in their methodologies. Recent trends in the modeling of mental fatigue suggest the usage of non subject-specific (general) classifiers and a time reduction of calibration procedures and experimental setups. In this study, the evaluation of a fast and short-calibration mental fatigue assessment tool based on biometric signals and inter-subject modeling, using multiple linear regression, is presented. The proposed tool does not require fatigue-inducing tests, which allows fast setup and implementation. Electroencephalography, photopletismography, electrodermal activity, and skin temperature from 17 subjects were recorded, using an OpenBCI helmet and an Empatica E4 wristband. Correlations to self-reported mental fatigue levels (using the fatigue assessment scale) were calculated to find the best mental fatigue predictors. Three-class mental fatigue models were evaluated, and the best model obtained an accuracy of 88% using three features, β/θ (C3), and the α/θ (O2 and C3) ratios, from one minute of electroencephalography measurements. The results from this pilot study show the feasibility and potential of short-calibration procedures and inter-subject classifiers in mental fatigue modeling, and will contribute to the use of wearable devices for the development of tools oriented to the well-being of workers and students, and also in daily living activities.

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The Effect of Mental Fatigue on Response Processes: An ERP Study in Go/NoGo Task

Cited by 2 publications

References 21 publications

Trait Disinhibition and NoGo Event-Related Potentials in Violent Mentally Disordered Offenders and Healthy Controls

Trait Disinhibition and NoGo Event-Related Potentials in Violent Mentally Disordered Offenders and Healthy Controls

Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study

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