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Table_1_Software Bug Detection Causes a Shift From Bottom-Up to Top-Down Effective Connectivity Involving the Insula Within the Error-Monitoring Network.XLSX

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https://figshare.com/articles/dataset/Table_1_Software_Bug_Detection_Causes_a_Shift_From_Bottom-Up_to_Top-Down_Effective_Connectivity_Involving_the_Insula_Within_the_Error-Monitoring_Network_XLSX/19314794
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The neural correlates of software programming skills have been the target of an increasing number of studies in the past few years. Those studies focused on error-monitoring during software code inspection. Others have studied task-related cognitive load as measured by distinct neurophysiological measures. Most studies addressed only syntax errors (shallow level of code monitoring). However, a recent functional MRI (fMRI) study suggested a pivotal role of the insula during error-monitoring when challenging deep-level analysis of code inspection was required. This raised the hypothesis that the insula is causally involved in deep error-monitoring. To confirm this hypothesis, we carried out a new fMRI study where participants performed a deep source-code comprehension task that included error-monitoring to detect bugs in the code. The generality of our paradigm was enhanced by comparison with a variety of tasks related to text reading and bugless source-code understanding. Healthy adult programmers (N = 21) participated in this 3T fMRI experiment. The activation maps evoked by error-related events confirmed significant activations in the insula [p(Bonferroni) < 0.05]. Importantly, a posterior-to-anterior causality shift was observed concerning the role of the insula: in the absence of error, causal directions were mainly bottom-up, whereas, in their presence, the strong causal top-down effects from frontal regions, in particular, the anterior cingulate cortex was observed.

过去数年来,软件编程技能的神经关联(neural correlates)已成为日益增多的研究关注对象。此类研究聚焦于软件代码审查过程中的错误监测;另有部分研究通过多种神经生理学测量手段,探究与任务相关的认知负荷。绝大多数现有研究仅关注语法错误(属于代码监测的浅层任务范畴)。然而,近期一项功能磁共振成像(functional MRI, fMRI)研究表明,当需要开展代码审查的深层分析任务时,脑岛(insula)在错误监测过程中发挥着关键作用。这一发现提出了一项假说:脑岛在深层错误监测中存在因果性参与。为验证该假说,我们开展了一项全新的fMRI研究:受试者需完成一项深层源代码理解任务,该任务包含错误监测环节,用于识别代码中的漏洞。通过与文本阅读、无漏洞源代码理解等多种任务进行对比,我们的实验范式(paradigm)的普适性得到了进一步提升。本次3T功能磁共振成像实验共招募21名健康成年程序员参与。错误相关事件所引发的激活图谱证实,脑岛存在显著激活[经邦费罗尼校正的p(Bonferroni) < 0.05]。值得注意的是,脑岛的功能作用存在从后向前的因果方向转变:在无错误场景下,因果流向主要为自下而上;而当存在错误时,则可观察到来自额叶区域(尤其是前扣带回皮层(anterior cingulate cortex))的显著自上而下因果效应。
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2022-03-07
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