Literature DB >> 24201011

Format-dependent representations of symbolic and non-symbolic numbers in the human cortex as revealed by multi-voxel pattern analyses.

J Bulthé1, B De Smedt2, H P Op de Beeck3.   

Abstract

Neuroimaging studies in the last 20 years have tried to unravel the neural correlates of number processing across formats in humans and non-human primates. Results point to the intraparietal sulcus as the core area for an abstract representation of numerical quantity. On the other hand, there exist a variety of behavioral and neuroimaging data that are difficult to reconcile with the existence of such an abstract representation. In this study, we addressed this issue by applying multi-voxel pattern analysis (MVPA) to functional Magnetic Resonance Imaging (fMRI) data to unravel the neural representations of symbolic (digits) and non-symbolic (dots) numbers and their possible overlap on three different spatial scales (entire lobules, smaller regions of interest and a searchlight analysis with 2-voxel radius). Results showed that numbers in both formats are decodable in occipital, frontal, temporal and parietal regions. However, there were no overlapping representations between dots and digits on any of the spatial scales. These data suggest that the human brain does not contain an abstract representation of numerical magnitude.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Multi-voxel pattern analysis; Numbers; Numerical cognition; Parietal cortex; fMRI

Mesh:

Year:  2013        PMID: 24201011     DOI: 10.1016/j.neuroimage.2013.10.049

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  38 in total

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Journal:  Hum Brain Mapp       Date:  2018-12-12       Impact factor: 5.038

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Authors:  Eric D Wilkey; Benjamin N Conrad; Darren J Yeo; Gavin R Price
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9.  Using cognitive training studies to unravel the mechanisms by which the approximate number system supports symbolic math ability.

Authors:  Stephanie Bugden; Nicholas K DeWind; Elizabeth M Brannon
Journal:  Curr Opin Behav Sci       Date:  2016-05-11

10.  Modality-independent representations of small quantities based on brain activation patterns.

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Journal:  Hum Brain Mapp       Date:  2016-01-09       Impact factor: 5.038

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