4.5 Article

Developmental specialization of the left parietal cortex for the semantic representation of Arabic numerals: An fMR-adaptation study

期刊

DEVELOPMENTAL COGNITIVE NEUROSCIENCE
卷 12, 期 -, 页码 61-73

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.dcn.2014.12.001

关键词

Number development; fMRI adaptation; Symbolic numerical magnitude; Intraparietal sulcus (IPS); Number representation; Developmental changes

资金

  1. Natural Sciences and Engineering Research Council of Canada (NSERC)
  2. Canadian Institutes of Health Research (CIHR)
  3. Ontario Graduate Scholarship program
  4. Canada Research Chairs (CRC) Program

向作者/读者索取更多资源

The way the human brain constructs representations of numerical symbols is poorly understood. While increasing evidence from neuroimaging studies has indicated that the intraparietal sulcus (IPS) becomes increasingly specialized for symbolic numerical magnitude representation over developmental time, the extent to which these changes are associated with age-related differences in symbolic numerical magnitude representation or with developmental changes in non-numerical processes, such as response selection, remains to be uncovered. To address these outstanding questions we investigated developmental changes in the cortical representation of symbolic numerical magnitude in 6-to 14-year-old children using a passive functional magnetic resonance imaging adaptation design, thereby mitigating the influence of response selection. A single-digit Arabic numeral was repeatedly presented on a computer screen and interspersed with the presentation of novel digits deviating as a function of numerical ratio (smaller/larger number). Results demonstrated a correlation between age and numerical ratio in the left IPS, suggesting an age-related increase in the extent to which numerical symbols are represented in the left IPS. Brain activation of the right IPS was modulated by numerical ratio but did not correlate with age, indicating hemispheric differences in IPS engagement during the development of symbolic numerical representation. (C) 2014 The Authors. Published by Elsevier Ltd.

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