کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7320178 1475578 2015 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of common neural representations for distinct numerical problems
ترجمه فارسی عنوان
توسعه تجربی عصبی مشترک برای مشکلات عددی مجزا
کلمات کلیدی
سوزن داخل قطعه ای قشر پشتی پیشانی خلفی، گریوس فوزیمور، تجزیه و تحلیل شباهت نمایشی، شباهت نمایشی مولوتوکسل، ریاضیات، حل مسئله،
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب رفتاری
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuropsychologia - Volume 75, August 2015, Pages 481-495
نویسندگان
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