Functional cortical connectivity analysis of mental fatigue unmasks hemispheric asymmetry and changes in small-world networks

Sun, Yu; Lim, Julian; Kwok, Kenneth; Bezerianos, Anastasios

doi:10.1016/j.bandc.2013.12.011

Cited by 133 publications

(106 citation statements)

References 72 publications

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“…Evidence also suggests that alpha activity is an index of top‐down processing in frontal, central and posterior regions in which the cortex inhibits non‐essential or conflicting processes, during sustained attention leading to fatigue (Bazanova & Vernon, 2014). Connectivity research has also shown strong brain networks exist between frontal, central, and posterior cortical regions when a person mentally fatigues (Fonseca et al, 2018; Liu, Zhang, & Zheng, 2010; Sun, Lim, Kwok, & Bezerianos, 2014).…”

Section: Discussionmentioning

confidence: 99%

The influence of mental fatigue on brain activity: Evidence from a systematic review with meta‐analyses

et al. 2020

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The occurrence of mental fatigue during tasks like driving a vehicle increases risk of injury or death. Changes in electroencephalographic (EEG) activity associated with mental fatigue has been frequently studied and considered a promising biomarker of mental fatigue. This is despite differences in methodologies and outcomes in prior research. A systematic review with meta‐analyses was conducted to establish the influence of mental fatigue on EEG activity spectral bands, and to determine in which regions fatigue‐related EEG spectral changes are likely to occur. A high‐yield search strategy identified 21 studies meeting inclusion criteria for investigating the change in EEG spectral activity in non‐diseased adults engaged in mentally fatiguing tasks. A medium effect size (using Cohen's g) of 0.68 (95%CI: 0.24–1.13) was found for increase in overall EEG activity following mental fatigue. Further examination of individual EEG spectral bands and regions using network meta‐analyses indicated large increases in theta (g = 1.03; 95%CI: 0.79–1.60) and alpha bands (g = 0.85; 95%CI: 0.47–1.43), with small to moderate changes found in delta and beta bands. Central regions of the scalp showed largest change (g = 0.80; 95%CI: 0.46–1.21). Sub‐group analyses indicated large increases in theta activity in frontal, central and posterior sites (all g > 1), with moderate changes in alpha activity in central and posterior sites. Findings have implications for fatigue monitoring and countermeasures with support for change in theta activity in frontal, central and posterior sites as a robust biomarker of mental fatigue and change in alpha wave activity considered a second line biomarker to account for individual variability.

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Section: Discussionmentioning

confidence: 99%

The influence of mental fatigue on brain activity: Evidence from a systematic review with meta‐analyses

et al. 2020

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“…Increased low-frequency phase synchronisation between frontal and posterior areas is commonly observed during the orientation of attention [46][47][48], and has been found to predict improvements in attention following momentary attentional lapses [49,50]. Furthermore, during sustained attention tasks, fronto-posterior phase synchronisation in the alpha band has been found to decrease with cognitive fatigue [51,52] and to increase during periods of participantassessed 'on-task' performance [53]. Simultaneous EEGfMRI recordings have revealed a positive association between this alpha-band, fronto-posterior phase synchronisation and haemodynamic activity in the executive control network [54].…”

Section: Cortical Oscillations and Sustained Attentionmentioning

confidence: 98%

The roles of cortical oscillations in sustained attention

Clayton

Yeung

Kadosh

2015

Trends in Cognitive Sciences

391

394

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“…Consistent with previous studies (Lim et al, 2010; Sun et al, 2014a, 2014b), we used a continuous 20-min PVT to induce TOT effects. The PVT is a simple, reliable and highly sensitive reaction time task and free of aptitude and leaning effects (Dinges et al, 1997; Lim and Dinges, 2008).…”

Section: Introductionmentioning

confidence: 95%

Resting spontaneous activity in the default mode network predicts performance decline during prolonged attention workload

Gui

Zhu

et al. 2015

NeuroImage

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After continuous and prolonged cognitive workload, people typically show reduced behavioral performance and increased feelings of fatigue, which are known as “time-on-task (TOT) effects”. Although TOT effects are pervasive in modern life, their underlying neural mechanisms remain elusive. In this study, we induced TOT effects by administering a 20-minute continuous psychomotor vigilance test (PVT) to a group of 16 healthy adults and used resting-state blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) to examine spontaneous brain activity changes associated with fatigue and performance. Behaviorally, subjects displayed robust TOT effects, as reflected by increasingly slower reaction times as the test progressed and higher self-reported mental fatigue ratings after the 20-minute PVT. Compared to pre-test measurements, subjects exhibited reduced amplitudes of low-frequency fluctuation (ALFF) in the default mode network (DMN) and increased ALFF in the thalamus after the test. Subjects also exhibited reduced anti-correlations between the posterior cingulate cortex (PCC) and right middle prefrontal cortex after the test. Moreover, pre-test resting ALFF in the PCC and medial prefrontal cortex (MePFC) predicted subjects’ subsequent performance decline; individuals with higher ALFF in these regions exhibited more stable reaction times throughout the 20-minute PVT. These results support the important role of both task-positive and task-negative networks in mediating TOT effects and suggest that spontaneous activity measured by resting-state BOLD fMRI may be a marker of mental fatigue.

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Functional cortical connectivity analysis of mental fatigue unmasks hemispheric asymmetry and changes in small-world networks

Cited by 133 publications

References 72 publications

The influence of mental fatigue on brain activity: Evidence from a systematic review with meta‐analyses

The influence of mental fatigue on brain activity: Evidence from a systematic review with meta‐analyses

The roles of cortical oscillations in sustained attention

Resting spontaneous activity in the default mode network predicts performance decline during prolonged attention workload

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