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Visual attention is shaped by statistical regularities in the environment, with spatially predictable distractors being proactively suppressed. The neural mechanisms underpinning this suppression remain poorly understood. In this study, we employed magnetoencephalography and multivariate classification analysis to investigate how predicted distractor locations are proactively processed in the human brain. Male and female human participants engaged in a statistical learning visual search task that required them to identify a target stimulus while ignoring a color-singleton distractor. Critically, the distractor appeared more frequently on one side of the visual field, creating an implicit spatial prediction. Our results revealed that distractor locations were encoded in temporo-occipital brain regions prior to the presentation of the search array, supporting the hypothesis that proactive suppression guides visual attention away from predictable distractors. The neural activity patterns corresponding to this presearch distractor processing extended to postsearch activity during late attentional stages (∼200 ms), suggesting an integrated suppressive mechanism. Notably, this generalization from pre- to postsearch phases was absent in the early sensory processing stages (∼100 ms), suggesting that postsearch distractor processing is not merely a continuation of sustained proactive processing but involves re-engagement of the same mechanism at distinct stages. These findings establish a mechanistic link between proactive and reactive processing of predictable distractors, demonstrating both shared and unique contributions to attentional selection.

More information Original publication

DOI

10.1523/JNEUROSCI.0740-25.2025

Type

Journal article

Publication Date

2026-02-11T00:00:00+00:00

Volume

46

Keywords

MVPA, distractor suppression, magnetoencephalography, predictions, statistical learning, visual attention, Humans, Male, Female, Attention, Magnetoencephalography, Young Adult, Adult, Photic Stimulation, Visual Perception, Reaction Time, Brain