Literature DB >> 30069911

Presaccadic EEG activity predicts visual saliency in free-viewing contour integration.

Nathalie Van Humbeeck1, Radha Nila Meghanathan1, Johan Wagemans1, Cees van Leeuwen1, Andrey R Nikolaev1.   

Abstract

While viewing a scene, the eyes are attracted to salient stimuli. We set out to identify the brain signals controlling this process. In a contour integration task, in which participants searched for a collinear contour in a field of randomly oriented Gabor elements, a previously established model was applied to calculate a visual saliency value for each fixation location. We studied brain activity related to the modeled saliency values, using coregistered eye tracking and EEG. To disentangle EEG signals reflecting salience in free viewing from overlapping EEG responses to sequential eye movements, we adopted generalized additive mixed modeling (GAMM) to single epochs of saccade-related EEG. We found that, when saliency at the next fixation location was high, amplitude of the presaccadic EEG activity was low. Since presaccadic activity reflects covert attention to the saccade target, our results indicate that larger attentional effort is needed for selecting less salient saccade targets than more salient ones. This effect was prominent in contour-present conditions (half of the trials), but ambiguous in the contour-absent condition. Presaccadic EEG activity may thus be indicative of bottom-up factors in saccade guidance. The results underscore the utility of GAMM for EEG-eye movement coregistration research.
© 2018 Society for Psychophysiological Research.

Entities:  

Keywords:  EEG; analysis/statistical methods; attention; eye tracking; visual processes; young adults

Mesh:

Year:  2018        PMID: 30069911     DOI: 10.1111/psyp.13267

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  5 in total

1.  Refixation control in free viewing: a specialized mechanism divulged by eye-movement-related brain activity.

Authors:  Andrey R Nikolaev; Radha Nila Meghanathan; Cees van Leeuwen
Journal:  J Neurophysiol       Date:  2018-08-15       Impact factor: 2.714

2.  Synchronization of acquisition devices in neuroimaging: An application using co-registration of eye movements and electroencephalography.

Authors:  Gelu Ionescu; Aline Frey; Nathalie Guyader; Emmanuelle Kristensen; Anton Andreev; Anne Guérin-Dugué
Journal:  Behav Res Methods       Date:  2021-12-16

3.  Regression-based analysis of combined EEG and eye-tracking data: Theory and applications.

Authors:  Olaf Dimigen; Benedikt V Ehinger
Journal:  J Vis       Date:  2021-01-04       Impact factor: 2.240

4.  Scene Buildup From Latent Memory Representations Across Eye Movements.

Authors:  Andrey R Nikolaev; Cees van Leeuwen
Journal:  Front Psychol       Date:  2019-01-11

5.  Unfold: an integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis.

Authors:  Benedikt V Ehinger; Olaf Dimigen
Journal:  PeerJ       Date:  2019-10-24       Impact factor: 2.984

  5 in total

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