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Updated: Jun 28, 2026

Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography (dEEG)
Published on: June 27, 2011
Abrupt scene onsets and gradually emerging scene information produce distinct EEG decoding dynamics
Ilker Duymaz1,2, Micha Engeser1,2, Daniel Kaiser1,2,3,4
1Department of Mathematics and Computer Science, Physics, Geography, Justus Liebig University Giessen, Germany.
Abstract:
Multivariate analyses of magneto-/electroencephalography (M/EEG) data are typically performed on neural responses time-locked to discrete stimulus onsets. Such designs usually reveal high decoding performance during the initial transient response (0-500 ms), which subsequently drops to a lower, sustained level. Here, we examined time-resolved EEG decoding of natural scene processing when scenes gradually enter the visual field without a clear onset. We created video sequences in which one scene category (e.g., a beach) smoothly transitioned into another category (e.g., a forest) by blending two scenes into a single composite panorama and moving a square aperture across it. We compared EEG decoding for the first scenes within the transitions, which appeared with a sudden, artificial onset, to the second scenes, which emerged naturalistically as the videos progressed. For the first scenes, we observed robust category decoding from 60 ms after onset with a clear peak structure. For the second scene, category decoding was markedly weaker and showed no discernible peak structure. Realigning the appearance of category-diagnostic content for the second scene using deep neural networks did not enhance decoding or recover a peak structure. Furthermore, classifiers trained on the first scene generalized to the second, but with a broad, temporally diffuse pattern, instead of a diagonal pattern more consistent with a shared hierarchical processing timeline. Together, these findings demonstrate that time-resolved EEG decoding is sensitive to stimulus-presentation context. Accordingly, temporal decoding patterns obtained in conventional trial-based paradigms may not generalize unchanged to conditions involving gradual scene transitions and continuous visual input.NEW & NOTEWORTHY Using multivariate EEG decoding, we show that scene-category information follows different temporal profiles across two presentation regimes: abrupt scene appearance after a grayscale screen and gradual scene emergence during continuous visual input. Our findings demonstrate that time-resolved decoding is sensitive to stimulus-presentation context and should not be interpreted as an invariant signature of a fixed visual processing hierarchy.

