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Published on: September 15, 2017
Tracking behavioral and neural fluctuations during sustained attention: A robust replication and extension
Francesca C Fortenbaugh1, David Rothlein2, Regina McGlinchey3
1Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, Boston, MA 02130, United States; Boston Attention & Learning Laboratory, VA Boston Healthcare System, Boston, MA 02130, United States; Geriatric Research, Education, & Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA 02130, United States; Department of Psychiatry, Harvard Medical School, Boston, MA 02115, United States.
This study validates the gradual-onset continuous performance task (gradCPT) in a large sample, showing brain activity reliably tracks attention fluctuations. This brain activity predicts sustained attention ability and performance differences.
Area of Science:
- Neuroscience
- Cognitive Psychology
Background:
- Concerns exist regarding neuroimaging study replicability due to small sample sizes.
- The gradual-onset continuous performance task (gradCPT) shows promise for measuring sustained attention but requires neuroimaging validation in large cohorts.
Purpose of the Study:
- To replicate and extend prior neuroimaging findings using the gradCPT in a large sample of 140 Veterans.
- To investigate the neural basis of sustained attention ability and attentional fluctuations.
- To explore the relationship between brain activity dynamics and individual differences in attention.
Main Methods:
- Utilized the gradual-onset continuous performance task (gradCPT) with 140 Veteran participants.
- Employed functional magnetic resonance imaging (fMRI) to measure brain activity (BOLD signals).
- Analyzed the temporal dynamics of brain networks, including task-positive and task-negative networks.
Main Results:
- Replicated findings that Blood-Oxygen-Level-Dependent (BOLD) activity in attention networks and the default network tracks attentional stability.
- Demonstrated that the coupling between attentional stability and ongoing brain activity predicts individual differences in sustained attention.
- Showed that temporal dynamics across the default and dorsal attention networks are associated with subsequent trial lapse likelihood.
Conclusions:
- The gradCPT is a reliable paradigm for studying sustained attention and its neural underpinnings.
- Brain activity dynamics, particularly network coupling, are crucial for understanding individual variations in attention.
- This research highlights the gradCPT's utility in investigating attentional fluctuations and deficits.
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