Brain Networks Underlying Individual Differences in Attention Control
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Seeburger, Dolly Tan
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Abstract
Attention control as a trait variable is a crucial cognitive ability correlated with a range of important life outcomes. However, the underlying individual differences in the brain mechanisms of attention control have not been explored in a large-scale study. I will present the results from my thesis (N=191), in which I investigated where in the brain, trait-level attention control is embedded, and how it interacts with state-level fluctuations during cognitive demand. Using the quasi-periodic pattern analysis, I found that individuals with higher attention control demonstrated more pronounced frontoparietal control network (FPCN) and the default mode network segregation, stronger FPCN and dorsal attention network coupling, and greater FPCN and the locus coeruleus coordination, especially under heightened cognitive demand. Notably, I also observed meaningful differences during resting-state scans, underscoring the trait-like consistency of these neural patterns. These findings highlight that stable individual differences in attention control are reflected in brain networks and neuromodulatory synchronization in response to momentary demands.
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2025-07-11
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Dissertation