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Different brains process Numbers differently: Structural bases of individual differences in spatial and nonspatial number representations

  • A dominant hypothesis on how the brain processes numerical size proposes a spatial representation of numbers as positions on a "mental number line." An alternative hypothesis considers numbers as elements of a generalized representation of sensorimotor-related magnitude, which is not obligatorily spatial. Here we show that individuals' relative use of spatial and nonspatial representations has a cerebral counterpart in the structural organization of the posterior parietal cortex. Interindividual variability in the linkage between numbers and spatial responses (faster left responses to small numbers and right responses to large numbers; spatial-numerical association of response codes effect) correlated with variations in gray matter volume around the right precuneus. Conversely, differences in the disposition to link numbers to force production (faster soft responses to small numbers and hard responses to large numbers) were related to gray matter volume in the left angular gyrus. This finding suggests that numerical cognition reliesA dominant hypothesis on how the brain processes numerical size proposes a spatial representation of numbers as positions on a "mental number line." An alternative hypothesis considers numbers as elements of a generalized representation of sensorimotor-related magnitude, which is not obligatorily spatial. Here we show that individuals' relative use of spatial and nonspatial representations has a cerebral counterpart in the structural organization of the posterior parietal cortex. Interindividual variability in the linkage between numbers and spatial responses (faster left responses to small numbers and right responses to large numbers; spatial-numerical association of response codes effect) correlated with variations in gray matter volume around the right precuneus. Conversely, differences in the disposition to link numbers to force production (faster soft responses to small numbers and hard responses to large numbers) were related to gray matter volume in the left angular gyrus. This finding suggests that numerical cognition relies on multiple mental representations of analogue magnitude using different neural implementations that are linked to individual traits.show moreshow less

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Metadaten
Author details:Florian Krause, Oliver LindemannORCiD, Ivan Toni, Harold Bekkering
DOI:https://doi.org/10.1162/jocn_a_00518
ISSN:0898-929X
ISSN:1530-8898
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/24188366
Title of parent work (English):Journal of cognitive neuroscience
Publisher:MIT Press
Place of publishing:Cambridge
Publication type:Article
Language:English
Year of first publication:2014
Publication year:2014
Release date:2017/03/27
Volume:26
Issue:4
Number of pages:9
First page:768
Last Page:776
Organizational units:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie
Peer review:Referiert
Institution name at the time of the publication:Humanwissenschaftliche Fakultät / Institut für Psychologie
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