title: Gestalt Perceptual Organization of Visual Stimuli Captures Attention Automatically: Electrophysiological Evidence.
abstract: The visual system leverages organizational regularities of perceptual elements to create meaningful representations of the world. One clear example of such function, which has been formalized in the Gestalt psychology principles, is the perceptual grouping of simple visual elements (e.g., lines and arcs) into unitary objects (e.g., forms and shapes). The present study sought to characterize automatic attentional capture and related cognitive processing of Gestalt-like visual stimuli at the psychophysiological level by using event-related potentials (ERPs). We measured ERPs during a simple visual reaction time task with bilateral presentations of physically matched elements with or without a Gestalt organization. Results showed that Gestalt (vs. non-Gestalt) stimuli are characterized by a larger N2pc together with enhanced ERP amplitudes of non-lateralized components (N1, N2, P3) starting around 150 ms post-stimulus onset. Thus, we conclude that Gestalt stimuli capture attention automatically and entail characteristic psychophysiological signatures at both early and late processing stages. Highlights We studied the neural signatures of the automatic processes of visual attention elicited by Gestalt stimuli. We found that a reliable early correlate of attentional capture turned out to be the N2pc component. Perceptual and cognitive processing of Gestalt stimuli is associated with larger N1, N2, and P3.
authors.affiliation: Department of Neuroscience, Biomedicine and Movement Sciences, University of VeronaVerona, Italy; Department of Psychology, University of California San Diego, La JollaCA, USA.
authors.forename: Francesco
authors.initials: F
authors.lastname: Marini
authors.affiliation: Department of Neuroscience, Biomedicine and Movement Sciences, University of VeronaVerona, Italy; National Institute of NeuroscienceVerona, Italy.
authors.forename: Carlo A
authors.initials: CA
authors.lastname: Marzi
keywords: ERP; N2pc; automatic capture; gestalt; visual attention