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Default Mode Network Connectivity Is Associated with Capture by Distractors Assigned to Learned Spatial Regularities

Siyi Chen, Hermann J Müller, Zhuanghua Shi

bioRxiv April 27, 2026 preprint DOI: 10.64898/2026.04.22.720249 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational fMRI study using an existing visual-search dataset
Sample size 33
Population Adult participants in an fMRI visual-search experiment, divided into two training groups based on which distractor dimension carried the spatial bias
Topics Default mode network
Key findings Higher within-DMN functional connectivity was associated with larger attentional capture scores for the biased distractor dimension, while capture by the unbiased dimension showed little corresponding relation. This positive association survived multiple controls, and exploratory edge-level analyses showed capture-associated positive edges concentrated around the DMN. The authors suggest DMN connectivity may relate to individual differences in vulnerability to distractors embedded in learned spatial-probability histories.

Abstract

Learned spatial regularities can reduce attentional capture by salient distractors, but observers vary in how strongly such regularities shape distractor interference. We asked whether this variability is associated with default mode network (DMN) functional connectivity, a network measure linked to individual differences in attention, internally guided cognition, and contextual memory. Using an existing fMRI visual-search dataset (N = 33), we tested whether task-run DMN connectivity was related to capture by distractors assigned to a learned spatial-probability history. Participants belonged to two training groups that differed in which distractor dimension carried the spatial bias: same-dimension distractors in one group and different-dimension distractors in the other. This design allowed us to ask whether the DMN association followed the design-defined biased dimension rather than general distractibility or a fixed physical distractor feature, while considering that the biased dimension also involved greater exposure. Higher within-DMN connectivity was associated with larger capture scores for the biased distractor dimension, whereas capture by the unbiased dimension showed little corresponding relation. This association remained positive after controls for inter-trial priming, head motion, nuisance signals, task-regressor residualization, global-signal regression, motion scrubbing, and trial-level exposure history. Exploratory edge-level analyses provided descriptive convergence, showing that capture-associated positive edges were concentrated around the DMN. These findings suggest that DMN connectivity may relate to individual differences in vulnerability to distractors embedded in learned spatial-probability histories.

Comparable studies

Other experimental studies on default mode network, most cited first.

Study Year Design Participants
Functional connectivity of default mode network components: Correlation, anticorrelation, and causality Healthy subjects 2008 Observational study using resting-state fMRI and seed correlation analysis
Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network Healthy subjects 2009 Experimental study using fMRI
Dynamic reconfiguration of the default mode network during narrative comprehension Human subjects 2016 Experimental study
Broadband Cortical Desynchronization Underlies the Human Psychedelic State Healthy human participants 2013 Experimental study
The brain on art: intense aesthetic experience activates the default mode network Human observers 2012 Observational study with fMRI and behavioral analysis

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