Structural Neuroplasticity in Computer Programming Beginners

Structural Neuroplasticity in Computer Programming Beginners
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计算机编程初学者的结构神经可塑性

DOI:
10.1093/cercor/bhac425
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发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
Takashi Hanakawa
Takashi Hanakawa
中科院分区:
医学2区
文献类型:
--
作者:
Takeshi Hongo;Takao Yakou;Kenji Yoshinaga;Toshiharu Kano;Michiko Miyazaki;Takashi Hanakawa

文献摘要

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我们研究了没有编程经验的大学生在学习计算机编程过程中神经可塑性结构的变化。他们参加了为期15周的“Processing”计算机编程语言课程(26节课)。我们对学习计算机编程前后获得的磁共振图像的灰质体积(GMV)进行了纵向分析。以下8个部位出现明显的神经可塑性改变:左额极;右额极;右内侧额回;左楔;左外侧小脑(后小叶和小脑结节);小脑内侧(小舌和扁桃体);右苍白球;还有左边的苍白质。右额极GMV的变化量与最终产品得分呈正相关。此外,右侧额叶内侧回和双侧苍白球GMV的变化量与测试成绩呈正相关。因此,右额极可能与持续尝试完成任务的功能(目标实现相关功能)有关。右侧内侧额回和双侧苍白球可能分别与演绎和奖励功能有关。因此,多个大脑区域似乎通过不同的功能参与编程学习。
We examined the structural neuroplastic changes associated with the learning of computer programming in university students with no previous programming experience. They participated in a 15-week course (26 lessons) on the “Processing” computer programming language. We have conducted a longitudinal analysis of gray matter volume (GMV) in the magnetic resonance images obtained before and after learning computer programming. Significant neuroplastic changes appeared in the following 8 sites: the left frontal pole; the right frontal pole; the right medial frontal gyrus; the left cuneus; the left lateral cerebellum (posterior lobule and tuber); the medial cerebellum (uvula and tonsil); the right pallidum; and the left pallidum. The amount of change in the GMV of the right frontal pole correlated positively with the final product score. Furthermore, the amount of change in the GMV of the right medial frontal gyrus and the bilateral pallidum correlated positively with the test scores. Thus, the right frontal pole was presumably associated with the function of persistent attempts to accomplish tasks (goal achievement-related function). The right medial frontal gyrus and the bilateral pallidum were presumably related to deduction and reward functions, respectively. Therefore, multiple brain regions appear to be involved in programming learning through different functions.