Gamma Oscillations Index Sustained Attention in a Brief Vigilance Task

Borghetti, Lorraine; Morris, Megan B.; Rhodes, L. Jack; Haubert, Ashley; Veksler, Bella Z.

doi:10.1177/1071181321651122

Cited by 10 publications

(35 citation statements)

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“…The present study used GP to evaluate the effect of fatigue on γ activity (70-80 Hz) connectivity in the frontoparietal network by directionality and performance over time. Our hypotheses were guided by recent work associating sustained attention to contemporaneous declines in frontal and parietal γ with time on task (Borghetti et al, 2021), the role of microlapses in sustained attention in computational accounts of fatigue Walsh et al, 2017), and existing research on connectivity for lower frequency bands in a fatigued state (Qi et al, 2019). In comparison to lower frequency bands, γ was constrained to sustained attention in the current experiment paradigm, allowing us to isolate the source of effects on connectivity.…”

Section: Discussionmentioning

confidence: 99%

“…Recent research has implicated the transient, high frequency gamma band (γ; 70-100 Hz) in sustained attention processes (Borghetti et al, 2021). Specifically, both frontal γ power associated with centrally-controlled attention (Ray et al, 2008; Senkowski et al, 1993) and parietal γ power associated with gated sensory processing (Herrmann et al, 2010) declined over the course of a 10-minute vigil, consistent with the effect of microlapses on central cognition.…”

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confidence: 85%

“…Specifically, computational accounts suggest that brief disruptions, or microlapses, in central cognition occur with increased time-on-task. Microlapses reflect attentional instability that negatively affects cognitive control and goal processing, reducing task engagement and performance.Recent research has implicated the transient, high frequency gamma band (γ; 70-100 Hz) in sustained attention processes (Borghetti et al, 2021). Specifically, both frontal γ power associated with centrally-controlled attention (Ray et al, 2008; Senkowski et al, 1993) and parietal γ power associated with gated sensory processing (Herrmann et al, 2010) declined over the course of a 10-minute vigil, consistent with the effect of microlapses on central cognition.The contemporaneous declines in frontal and parietal γ indicate the integration of information across anatomically distributed task-relevant neural populations.…”

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confidence: 85%

“…Finally, as γ oscillations index performance such that more robust (larger, longer) activity predicts faster response times (RT) and accuracy compared to slower or less accurate responses both within and across individuals (Borghetti et al, 2021;Herrmann et al, 2010;Kim et al, 2017), we expect frontal→parietal connectivity to be more robust for faster versus slower performers. However, since slower performers showed little change in γ activity over time in comparison to faster performers (Borghetti et al, 2021), we only expect network disintegration over time for faster performers whereas we do not expect time-on-task to attenuate connectivity for the slower performers.…”

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confidence: 99%

“…However, connectivity was evaluated for the lower frequencies -typically theta (θ), alpha (α), and beta (β) -which frontally index compensatory as well as attentional processes, potentially confounding the source of the network's disintegration. The experiment paradigm used by Borghetti et al (2021) constrained frontal γ activity to controlled sustained attention and eliminated confounds with memory matching for parietal γ activity, allowing for the isolation of univariate effects due to time-ontask. However, to our knowledge, the effect of fatigue on γ activity has not been extended to directional connectivity in the fronto-parietal network.…”

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confidence: 99%

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Fatigue Leads to Dynamic Shift in Fronto-parietal Sustained Attention Network

Borghetti

Rhodes

Morris

2022

Proceedings of the Human Factors and Ergonomics Society Annual

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Recently, the gamma band ( γ; 70-100 Hz) has been implicated in sustained attention decay across a vigil consistent with computational models of fatigue. Frontal γ indexing centrally controlled sustained attention and parietal γ linked to gated sensory processes declined across a 10-minute vigilance task, a pattern observed for faster but not slower performers. The anatomical distribution of γ activity indicates neural communication, or connectivity, within the fronto-parietal network. We used Granger Prediction to evaluate fatigue effects on network γ connectivity. Results showed stronger directional connectivity for frontal→parietal versus parietal→frontal over time, indicating that top-down control of attention largely remained intact. However, parietal→frontal early γ connectivity increased with time, suggesting a network shift to enhanced sensory-directed processes after only 8 minutes. This pattern of connectivity was mirrored by fast but not slower performers. Our findings provide new directions for computational accounts of fatigue mechanisms and highlight the importance of individual differences.

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Section: Discussionmentioning

confidence: 99%

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confidence: 85%

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confidence: 85%

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confidence: 99%

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confidence: 99%

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Fatigue Leads to Dynamic Shift in Fronto-parietal Sustained Attention Network

Borghetti

Rhodes

Morris

2022

Proceedings of the Human Factors and Ergonomics Society Annual

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Vigilance end-spurt patterns in event-related potentials

et al. 2023

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Oscillatory correlates of threat imminence during virtual navigation

Karpov,

Lin,

Headley

et al. 2023

Preprint

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The Predator Imminence Theory proposes that defensive behaviors depend on the proximity of a threat. While the neural mechanisms underlying this proposal have been well studied in animal models, it remains poorly understood in humans. To address this issue, we recorded EEG from twenty-four (15 female) young adults engaged in a first-person virtual reality Risk-Reward Interaction task. On each trial, participants were placed in a virtual room and then presented with either a threat or reward conditioned stimulus (CS) in the same room location (proximal) or different room location (distal). At a behavioral level, all participants learned to avoid the threat-CS, with most using the optimal behavior to actively avoid the proximal threat-CS (88% accuracy) and passively avoid the distal threat-CS (69% accuracy). By contrast, participants learned to actively approach the distal reward-CS (82% accuracy) and to remain still (passive) to the proximal reward-CS (72% accuracy). At an electrophysiological level, we observed a general increase in theta power (4-8 Hz) over right posterior channel P8 across all CS conditions, with the proximal threat-CS evoking the largest theta response. By contrast, distal CS cues induced two bursts of gamma (30-60 Hz) power over midline-parietal channel Pz (approx. 200 msec post-cue) and right frontal channel Fp2 (approx. 300 msec post-cue). Interestingly, while both bursts were sensitive to distal-CS cues, the first burst of gamma power was sensitive to the distal threat-CS requiring a passive response, and the second burst at channel Fp2 was sensitive to the distal reward-CS requiring an active response. Together, these findings demonstrate that oscillatory processes differentiate between the spatial proximity information during threat and reward encoding, likely optimizing the selection of the appropriate behavioral response.

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Gamma Oscillations Index Sustained Attention in a Brief Vigilance Task

Cited by 10 publications

References 30 publications

Fatigue Leads to Dynamic Shift in Fronto-parietal Sustained Attention Network

Fatigue Leads to Dynamic Shift in Fronto-parietal Sustained Attention Network

Vigilance end-spurt patterns in event-related potentials

Oscillatory correlates of threat imminence during virtual navigation

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