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In the Zone or Zoning Out? Tracking Behavioral and Neural Fluctuations During Sustained Attention

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TLDR
A novel task is introduced, along with innovative analysis procedures that probe the relationships between reaction time (RT) variability, attention lapses, and intrinsic brain activity, and represent an important step forward in linking intrinsicbrain activity to behavioral phenomena.
Abstract
Despite growing recognition that attention fluctuates from moment-to-moment during sustained performance, prevailing analysis strategies involve averaging data across multiple trials or time points, treating these fluctuations as noise. Here, using alternative approaches, we clarify the relationship between ongoing brain activity and performance fluctuations during sustained attention. We introduce a novel task (the gradual onset continuous performance task), along with innovative analysis procedures that probe the relationships between reaction time (RT) variability, attention lapses, and intrinsic brain activity. Our results highlight 2 attentional states-a stable, less error-prone state ("in the zone"), characterized by higher default mode network (DMN) activity but during which subjects are at risk of erring if DMN activity rises beyond intermediate levels, and a more effortful mode of processing ("out of the zone"), that is less optimal for sustained performance and relies on activity in dorsal attention network (DAN) regions. These findings motivate a new view of DMN and DAN functioning capable of integrating seemingly disparate reports of their role in goal-directed behavior. Further, they hold potential to reconcile conflicting theories of sustained attention, and represent an important step forward in linking intrinsic brain activity to behavioral phenomena.

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Journal ArticleDOI

Predicting moment-to-moment attentional state.

TL;DR: Multi-voxel pattern analysis (MVPA) is used to decode trial-by-trial attentional state throughout much of cortex, helping to characterize how attention network fluctuations correlate with performance variability.
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Functional Connectivity of the Dorsal Attention Network Predicts Selective Attention in 4–7 year-old Girls

TL;DR: It is suggested that greater FC within the DAN is associated with better selective attention skills, and this work confirmed that FC between the IPS and FEF was significantly associated with selective attention.
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Frontal eye field involvement in sustaining visual attention: evidence from transcranial magnetic stimulation.

TL;DR: Following TMS to the right FEF, sustained attention during in-the-zone periods significantly worsened both in terms of lower accuracy and increased reaction time variability, and this results demonstrate that theright FEF plays a crucial role in supporting optimal sustained attention.
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Frontal midline theta is a specific indicator of optimal attentional engagement during skilled putting performance.

TL;DR: Findings suggest that Fmθ is a manifestation of sustained attention during a skilled performance and that optimal attentional engagement, as characterized by a lower Fm θ power, is beneficial for successful skilled performance rather than a higher F mθ power reflecting excessive attentional control.
Journal ArticleDOI

Connectome-based models predict attentional control in aging adults.

TL;DR: The results support the saCPM's ability to capture attention‐related patterns reflected in each individual's functional connectivity signature across both task context and age, and it is these connections that better account for age‐related deficits in attentional control.
References
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Wandering Minds: The Default Network and Stimulus-Independent Thought

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Self-projection and the brain

TL;DR: It is speculated that envisioning the future (prospection), remembering the past, conceiving the viewpoint of others (theory of mind), and possibly some forms of navigation reflect the workings of the same core brain network.
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'Oops!': performance correlates of everyday attentional failures in traumatic brain injured and normal subjects

TL;DR: It is shown that errors on the SART can be predicted by a significant shortening of reaction times in the immediately preceding responses, supporting the view that these errors are a result of 'drift' of controlled processing into automatic responding consequent on impaired sustained attention to task.
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