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dc.contributor.author
Maruyama, Masaki  
dc.contributor.author
Pallier, Christophe  
dc.contributor.author
Jobert, Antoinette  
dc.contributor.author
Sigman, Mariano  
dc.contributor.author
Dehaene, Stanislas  
dc.date.available
2019-06-13T16:00:13Z  
dc.date.issued
2012-04  
dc.identifier.citation
Maruyama, Masaki; Pallier, Christophe; Jobert, Antoinette; Sigman, Mariano; Dehaene, Stanislas; The cortical representation of simple mathematical expressions; Academic Press Inc Elsevier Science; Journal Neuroimag; 61; 4; 4-2012; 1444-1460  
dc.identifier.issn
1053-8119  
dc.identifier.uri
http://hdl.handle.net/11336/78208  
dc.description.abstract
Written mathematical notation conveys, in a compact visual form, the nested functional relations among abstract concepts such as operators, numbers or sets. Is the comprehension of mathematical expressions derived from the human capacity for processing the recursive structure of language? Or does algebraic processing rely only on a language-independent network, jointly involving the visual system for parsing the string of mathematical symbols and the intraparietal system for representing numbers and operators? We tested these competing hypotheses by scanning mathematically trained adults while they viewed simple strings ranging from randomly arranged characters to mathematical expressions with up to three levels of nested parentheses. Syntactic effects were observed in behavior and in brain activation measured with functional magnetic resonance imaging (fMRI) and magneto-encephalography (MEG). Bilateral occipito-temporal cortices and right parietal and precentral cortices appeared as the primary nodes for mathematical syntax. MEG estimated that a mathematical expression could be parsed by posterior visual regions in less than 180. ms. Nevertheless, a small increase in activation with increasing expression complexity was observed in linguistic regions of interest, including the left inferior frontal gyrus and the posterior superior temporal sulcus. We suggest that mathematical syntax, although arising historically from language competence, becomes "compiled" into visuo-spatial areas in well-trained mathematics students. © 2012 Elsevier Inc.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Academic Press Inc Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Functional Magnetic Resonance Imaging  
dc.subject
Language  
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Magnetoencephalography  
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Mathematics  
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Syntax  
dc.title
The cortical representation of simple mathematical expressions  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-06-04T20:17:29Z  
dc.journal.volume
61  
dc.journal.number
4  
dc.journal.pagination
1444-1460  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Maruyama, Masaki. Inserm; Francia  
dc.description.fil
Fil: Pallier, Christophe. Inserm; Francia  
dc.description.fil
Fil: Jobert, Antoinette. Inserm; Francia  
dc.description.fil
Fil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina  
dc.description.fil
Fil: Dehaene, Stanislas. Inserm; Francia  
dc.journal.title
Journal Neuroimag  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.neuroimage.2012.04.020