Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/79375
題名: Development of common neural representation for distinct numerical problems
作者: 張葶葶
Chang, Ting-Ting
Rosenberg-Lee, M.
Metcalfe, A.W.S.
Chen, T.
Menon, V.
貢獻者: 心理系
關鍵詞: Intraparietal sulcus; Dorsal lateral prefrontal cortex; Fusiform gyrus; Representational similarity analysis; Multivoxel representational similarity; Arithmetic; Problem solving
日期: Aug-2015
上傳時間: 10-Nov-2015
摘要: How the brain develops representations for abstract cognitive problems is a major unaddressed question in neuroscience. Here we tackle this fundamental question using arithmetic problem solving, a cognitive domain important for the development of mathematical reasoning. We first examined whether adults demonstrate common neural representations for addition and subtraction problems, two complementary arithmetic operations that manipulate the same quantities. We then examined how the common neural representations for the two problem types change with development. Whole-brain multivoxel representational similarity (MRS) analysis was conducted to examine common coding of addition and subtraction problems in children and adults. We found that adults exhibited significant levels of MRS between the two problem types, not only in the intraparietal sulcus (IPS) region of the posterior parietal cortex (PPC), but also in ventral temporal-occipital, anterior temporal and dorsolateral prefrontal cortices. Relative to adults, children showed significantly reduced levels of MRS in these same regions. In contrast, no brain areas showed significantly greater MRS between problem types in children. Our findings provide novel evidence that the emergence of arithmetic problem solving skills from childhood to adulthood is characterized by maturation of common neural representations between distinct numerical operations, and involve distributed brain regions important for representing and manipulating numerical quantity. More broadly, our findings demonstrate that representational analysis provides a powerful approach for uncovering fundamental mechanisms by which children develop proficiencies that are a hallmark of human cognition.
關聯: Neuropsychologia,75, 481-495
資料類型: article
DOI: http://dx.doi.org/10.1016/j.neuropsychologia.2015.07.005
Appears in Collections:期刊論文

Files in This Item:
File Description SizeFormat
1-s2.0-S0028393215300907-main.pdf5.62 MBAdobe PDF2View/Open
Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


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