The neural origins of visual crowding as revealed by event-related potentials and oscillatory dynamics. (June 2016)

• Record Type: Journal Article
• Authors: Ronconi, Luca; Bertoni, Sara; Bellacosa Marotti, Rosilari
• Is Part Of: Cortex. Volume 79(2016)
• Page Start: 87
• Page End: 98
• Publication Date: 2016-06
• Subjects: Visual cortex -- Letters processing -- Visual perception -- VEP -- MEG; Neuropsychology -- Periodicals; Nervous system -- Periodicals; Neurology -- Periodicals; Psychophysiology -- Periodicals; Behavior -- Periodicals; Neurology -- Periodicals; 612.825
• DOI: 10.1016/j.cortex.2016.03.005
• Languages: English
• ISSNs: 0010-9452

Abstract

Abstract: Visual crowding is the difficulty in perceiving a target in the presence of nearby flankers. Most neurophysiological studies of crowding employed functional neuroimaging, but because of its low temporal resolution, no definitive answer can be given to the question: is crowding arising at the earliest or at later stages of visual processing? Here, we used a classic letters crowding paradigm in combination with electroencephalography (EEG). We manipulated the critical space between peripheral target and flankers, while ensuring a proper control of basic stimulus characteristics. Analyses were focused on event-related potentials (ERPs) and oscillatory activity in the alpha (8–12 Hz), beta (15–30 Hz) and gamma (30–80 Hz) bands. At the ERP level, we found that the first sign of a crowding-induced modulation of EEG activity was a suppression of the N1 component. Oscillatory analysis revealed an early stimulus-evoked gamma enhancement and a later alpha reduction that, however, were not influenced by the amount of crowding. Importantly, reduction in the beta band reflected the amount of crowding (i.e., stronger reduction for strong relative to mid crowding condition) and correlated with individual behavioral performance. Collectively, these findings show that crowding for complex objects emerges at later stages of visual processing, possibly as a result of large-scale network interaction.