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神经证据表明认知发展过程中的程序性自动化:顶内对非常小的加法问题大小变化的反应随年龄增长而增加。

Neural evidence for procedural automatization during cognitive development: Intraparietal response to changes in very-small addition problem-size increases with age.

机构信息

Centre de Recherche en Neurosciences de Lyon (CRNL), INSERM U1028 - CNRS UMR5292, Université de Lyon, France.

Institut de Psychologie, Université de Lausanne, Switzerland.

出版信息

Dev Cogn Neurosci. 2023 Dec;64:101310. doi: 10.1016/j.dcn.2023.101310. Epub 2023 Oct 4.

Abstract

Cognitive development is often thought to depend on qualitative changes in problem-solving strategies, with early developing algorithmic procedures (e.g., counting when adding numbers) considered being replaced by retrieval of associations (e.g., between operands and answers of addition problems) in adults. However, algorithmic procedures might also become automatized with practice. In a large cross-sectional fMRI study from age 8 to adulthood (n = 128), we evaluate this hypothesis by measuring neural changes associated with age-related reductions in a behavioral hallmark of mental addition, the problem-size effect (an increase in solving time as problem sum increases). We found that age-related decreases in problem-size effect were paralleled by age-related increases of activity in a region of the intraparietal sulcus that already supported the problem-size effect in 8- to 9-year-olds, at an age the effect is at least partly due to explicit counting. This developmental effect, which was also observed in the basal ganglia and prefrontal cortex, was restricted to problems with operands ≤ 4. These findings are consistent with a model positing that very-small arithmetic problems-and not larger problems-might rely on an automatization of counting procedures rather than a shift towards retrieval, and suggest a neural automatization of procedural knowledge during cognitive development.

摘要

认知发展通常被认为取决于解决问题策略的质变,而早期发展的算法程序(例如,在加数字时数数)被认为会被成人时期的联想检索(例如,在加法问题的操作数和答案之间)所取代。然而,算法程序也可能通过练习而自动化。在一项从 8 岁到成年的大型横向 fMRI 研究(n=128)中,我们通过测量与年龄相关的减法行为标志(随着问题总和的增加,解决时间的增加)的神经变化来评估这一假设。我们发现,与年龄相关的问题大小效应的减少与内顶叶沟的一个区域的活动增加相平行,在 8 到 9 岁时,这个区域已经支持了问题大小效应,而这个效应至少部分是由于明确的计数。这种发展效应也在基底神经节和前额叶皮层中观察到,仅局限于操作数≤4 的问题。这些发现与一个模型一致,该模型假设非常小的算术问题——而不是更大的问题——可能依赖于计数程序的自动化,而不是向检索的转变,并表明认知发展过程中程序性知识的神经自动化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49dd/10570710/b4dbd84b6380/gr1.jpg

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