Vigilance described by the time-on-task effect in EEG activity during a cued Go/NoGo task

Pershin, Ilia; Candrian, Gian; Münger, Marionna; Baschera, Gian-Marco; Rostami, Maryam; Eich, Dominique; Müller, Andreas

doi:10.1016/j.ijpsycho.2022.11.015

Cited by 10 publications

(17 citation statements)

References 59 publications

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“…However, in contrast to alpha rhythms, beta power changes seem to be region-independent, as the observed effect was not modulated by channels of interest. The observed results in beta rhythms seem to be in contrast with some previous research in which reduced (rather than increased, as in the present study) beta power was associated with states of vigilance loss (Braboszcz and Delorme, 2011;Pershin et al, 2023). Note that beta rhythms seem to not play a critical role in the cortical oscillations model of sustained attention (Clayton et al, 2015).…”

Section: Discussioncontrasting

confidence: 99%

“…In the lab, the vigilance decrement is observed as a progressive increase in vigilance failures, i.e., as a higher miss rate in detecting infrequent signals and slower reaction times (RT) as time-on-task progresses (Thomson et al, 2016). With the aim to elucidate how changes in brain states may be underlying vigilance loss, there has been extensive interest in examining electroencephalographic (EEG) oscillatory rhythms across vigilance tasks (Oken et al, 2006;Kim et al, 2017;Karamacoska et al, 2019;Reteig et al, 2019;Pershin et al, 2023). Nevertheless, to date, it has been particularly challenging to determine whether specific oscillatory rhythms anticipate different vigilance failures in prolonged tasks.…”

Section: Introductionmentioning

confidence: 99%

“…According to the cortical oscillations model of sustained attention proposed by Clayton et al (2015), the ability to maintain attention for long periods is regulated by the interaction between theta oscillations in frontomedial cortical regions and alpha and gamma oscillations in posterior areas. Evidence from experimental studies shows that vigilance loss is associated with changes in delta (Braboszcz and Delorme, 2011;Hoedlmoser et al, 2011;Groot et al, 2021), theta (Gorgoni et al, 2014;Molina et al, 2019), alpha (Dockree et al, 2004;Boksem et al, 2005;Clayton et al, 2019;Molina et al, 2019), beta (Braboszcz and Delorme, 2011;Ramautar et al, 2013;Molina et al, 2019;Pershin et al, 2023), and gamma (Kim et al, 2017;Pershin et al, 2023) rhythms. Nonetheless, despite the observed variety of findings, there seems to be a general consensus that states of vigilance loss are associated with increased alpha power (Sadaghiani et al, 2010;Clayton et al, 2018;Benwell et al, 2019;Karamacoska et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…While several studies have examined changes in oscillatory rhythms associated with vigilance loss across long periods, as timeon-task (Boksem et al, 2005;Kim et al, 2017;Pershin et al, 2023), sleep deprivation (Hoedlmoser et al, 2011;Gorgoni et al, 2014;Hao et al, 2022), or even weeks (Witkowski et al, 2015), evidence seems to be relatively scarce regarding whether changes in frequency power can anticipate vigilance failures (Dockree et al, 2004;Chua et al, 2012;Molina et al, 2019;Arnau et al, 2020). Moreover, noting that vigilance might be supported by two independent components, it could be possible that EV and AV failures are anticipated by changes in different oscillatory rhythms.…”

Section: Introductionmentioning

confidence: 99%

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Different oscillatory rhythms anticipate failures in executive and arousal vigilance

et al. 2023

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IntroductionVigilance is the challenging ability to maintain attention during long periods. When performing prolonged tasks, vigilance failures are often observed, reflecting a decrease in performance. Previous research has shown that changes in oscillatory rhythms are associated with states of vigilance loss. The present study aimed to investigate whether changes in different oscillatory rhythms anticipate failures in two vigilance components: (a) executive vigilance –necessary to detect infrequent critical signals– and (b) arousal vigilance –necessary to maintain a fast reaction to environmental stimuli without much control–.Methods37 young adults (age: M = 25.86; SD = 4.99) completed two experimental sessions in which high-density electroencephalography signal was recorded while they performed the Attentional Networks Test for Interactions and Vigilance – executive and arousal components, a task that simultaneously measures executive and arousal vigilance along with others attentional functions. Changes in delta, theta, alpha, beta, and gamma power before target onset were analyzed at the trial level in the executive and the arousal vigilance subtasks and as a function of the behavioral response.ResultsChanges in different oscillatory rhythms were observed prior to failures in executive and arousal vigilance. While increased alpha power in left occipital regions anticipated misses in the executive vigilance subtask, increased delta power in frontal-central regions anticipated very slow responses in the arousal vigilance subtask.DiscussionThe present results further support an empirical dissociation at the neural level between executive and arousal vigilance. Changes in alpha –in left occipital regions– and delta –in frontal-central regions– power might be identified as different brain states associated with loss in vigilance components when performing prolonged tasks.

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Section: Discussioncontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Different oscillatory rhythms anticipate failures in executive and arousal vigilance

et al. 2023

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“…Finally, the RT increased with time-on-task 29,42 , being positively correlated with trial number within the session (p=0.022 for Monkey T, P<0.01 for Monkey M).…”

Section: Behavioral Task Performancementioning

confidence: 94%

Distinct sources and behavioral correlates of macaque motor cortical low and high beta

Nougaret

López-Galdo

Caytan

et al. 2023

Preprint

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Low and high beta frequency rhythms were observed in motor cortex, but their respective sources and behavioral correlates remain unknown. We studied local field potentials during pre-cued reaching behavior in macaques. They contained a low beta band (<20Hz) dominant in primary motor cortex and a high beta band (>20Hz) dominant in dorsal premotor cortex. Low beta correlated positively with behavioral reaction time, from visual cue onset, and negatively with uninstructed hand postural micro-movements throughout the trial. High beta reflected temporal task prediction, with selective modulations before and during cues that were enhanced in moments of increased focal attention, when the gaze was on the work area. This double-dissociation in cortical sources and behavioral correlates of motor cortical low and high beta, with respect to both task-instructed and spontaneous behavior, reconciles the largely disparate roles proposed for the beta rhythm, by suggesting band-specific roles in both movement control and spatio-temporal attention.

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Characterising time-on-task effects on oscillatory and aperiodic EEG components and their co-variation with visual task performance

Kopčanová,

Thut,

Benwell

et al. 2024

Preprint

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Fluctuations in oscillatory brain activity have been shown to co-occur with variations in task performance. More recently, part of these fluctuations has been attributed to long-term (>1hr) monotonous trends in the power and frequency of alpha oscillations (8-13 Hz). Here we tested whether these time-on-task changes in EEG activity are limited to activity in the alpha band and whether they are linked to task performance. Thirty-six participants performed 900 trials of a two-alternative forced choice visual discrimination task with confidence ratings. Pre- and post-stimulus spectral power (1-40Hz) and aperiodic (i.e., non-oscillatory) components were compared across blocks of the experimental session and tested for relationships with behavioural performance. We found that time-on-task effects on oscillatory EEG activity were primarily localised within the alpha band, with alpha power increasing and peak alpha frequency decreasing over time, even when controlling for aperiodic contributions. Aperiodic, broadband activity on the other hand did not show time-on-task effects in our data set. Importantly, time-on-task effects in alpha frequency and power explained variability in single-trial reaction times. Moreover, controlling for time-on-task effectively removed the relationships between alpha activity and reaction times. However, time-on-task effects did not affect other EEG signatures of behavioural performance, including post-stimulus predictors of single-trial decision confidence. Therefore, our results dissociate alpha-band brain-behaviour relationships that can be explained away by time-on-task from those that remain after accounting for it - thereby further specifying the potential functional roles of alpha in human visual perception.

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Vigilance described by the time-on-task effect in EEG activity during a cued Go/NoGo task

Cited by 10 publications

References 59 publications

Different oscillatory rhythms anticipate failures in executive and arousal vigilance

Different oscillatory rhythms anticipate failures in executive and arousal vigilance

Distinct sources and behavioral correlates of macaque motor cortical low and high beta

Characterising time-on-task effects on oscillatory and aperiodic EEG components and their co-variation with visual task performance

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