ArticleBrain imaging and behavior2019
The role of the insula in intuitive expert bug detection in computer code: an fMRI study.
Article in Brain imaging and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 68 citations in OpenAlex.
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- EEG as a potential ground truth for the assessment of cognitive state in software development activities: A multimodal imaging study.PloS one · 2024Article
- Changes in functional brain activity patterns associated with computer programming learning in novices.Brain structure & function · 2023Article
- On the accuracy of code complexity metrics: A neuroscience-based guideline for improvement.Frontiers in neuroscience · 2022Article
- The human experience of comprehending source code in virtual reality.Empirical software engineering · 2022Article
- Software Bug Detection Causes a Shift From Bottom-Up to Top-Down Effective Connectivity Involving the Insula Within the Error-Monitoring Network.Frontiers in human neuroscience · 2022Article
- Can EEG Be Adopted as a Neuroscience Reference for Assessing Software Programmers' Cognitive Load?Sensors (Basel, Switzerland) · 2021Article
- Reading and Calculation Neural Systems and Their Weighted Adaptive Use for Programming Skills.Neural plasticity · 2021Review
- Comprehension of computer code relies primarily on domain-general executive brain regions.eLife · 2020Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Software programming is a complex and relatively recent human activity, involving the integration of mathematical, recursive thinking and language processing. The neural correlates of this recent human activity are still poorly understood. Error monitoring during this type of task, requiring the integration of language, logical symbol manipulation and other mathematical skills, is particularly challenging. We therefore aimed to investigate the neural correlates of decision-making during source code understanding and mental manipulation in professional participants with high expertise. The present fMRI study directly addressed error monitoring during source code comprehension, expert bug detection and decision-making. We used C code, which triggers the same sort of processing irrespective of the native language of the programmer. We discovered a distinct role for the insula in bug monitoring and detection and a novel connectivity pattern that goes beyond the expected activation pattern evoked by source code understanding in semantic language and mathematical processing regions. Importantly, insula activity levels were critically related to the quality of error detection, involving intuition, as signalled by reported initial bug suspicion, prior to final decision and bug detection. Activity in this salience network (SN) region evoked by bug suspicion was predictive of bug detection precision, suggesting that it encodes the quality of the behavioral evidence. Connectivity analysis provided evidence for top-down circuit "reutilization" stemming from anterior cingulate cortex (BA32), a core region in the SN that evolved for complex error monitoring such as required for this type of recent human activity. Cingulate (BA32) and anterolateral (BA10) frontal regions causally modulated decision processes in the insula, which in turn was related to activity of math processing regions in early parietal cortex. In other words, earlier brain regions used during evolution for other functions seem to be reutilized in a top-down manner for a new complex function, in an analogous manner as described for other cultural creations such as reading and literacy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.