Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31405
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Shape facilitates number: brain potentials and microstates reveal the interplay between shape and numerosity in human vision
Author(s): Gheorghiu, Elena
Dering, Benjamin
Contact Email: elena.gheorghiu@stir.ac.uk
Keywords: Cognitive neuroscience
Electroencephalography – EEG
Perception
Psychophysics
Issue Date: 2020
Date Deposited: 7-Jul-2020
Citation: Gheorghiu E & Dering B (2020) Shape facilitates number: brain potentials and microstates reveal the interplay between shape and numerosity in human vision. Scientific Reports, 10, Art. No.: 12413. https://doi.org/10.1038/s41598-020-68788-4
Abstract: Recognition of simple shapes and numerosity estimation for small quantities are often studied independently of each other, but we know that these processes are both rapid and accurate, suggesting that they may be mediated by common neural mechanisms. Here we address this issue by examining how spatial configuration, shape complexity, and luminance polarity of elements affect numerosity estimation. We directly compared the Event Related Potential (ERP) time-course for numerosity estimation under shape and random configurations and found a larger N2 component for shape over lateral-occipital electrodes (250-400ms), which also increased with higher numbers. We identified a Left Mid Frontal (LMF; 400-650ms) component over left-lateralised medial frontal sites that specifically separated low and high numbers of elements, irrespective of their spatial configuration. Different luminance-polarities increased N2 amplitude only, suggesting that shape but not numerosity is selective to polarity. Functional microstates confined numerosity to a strict topographic distribution occurring within the LMF time-window, while a microstate responding only to shape-configuration was evidenced earlier, in the N2 time-window. We conclude that shape-coding precedes numerosity estimation, which can be improved when the number of elements and shape vertices are matched. Thus, numerosity estimation around the subitizing range is facilitated by a shape-template matching process.
DOI Link: 10.1038/s41598-020-68788-4
Rights: © The Author(s) 2020 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

Files in This Item:
File Description SizeFormat 
s41598-020-68788-4.pdfFulltext - Published Version1.6 MBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.