Evidence map›Paper›PMID 29744802›Full record

ArticleBrain imaging and behavior2019

The role of the insula in intuitive expert bug detection in computer code: an fMRI study.

Joao Castelhano, Isabel C Duarte, Carlos Ferreira, Joao Duraes, Henrique Madeira, Miguel Castelo-Branco

Open access · hybridAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
13.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 68 citations in OpenAlex.

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  3. Learning to Program "Recycles" Preexisting Frontoparietal Population Codes of Logical Algorithms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Joao CastelhanoICNAS/CIBIT, Coimbra Institute for Biomedical Imaging and Life Sciences, University of Coimbra, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal.
Isabel C DuarteICNAS/CIBIT, Coimbra Institute for Biomedical Imaging and Life Sciences, University of Coimbra, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal.
Carlos FerreiraICNAS/CIBIT, Coimbra Institute for Biomedical Imaging and Life Sciences, University of Coimbra, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal.
Joao DuraesCISUC-DEIS, Polytechnic Institute of Coimbra, Coimbra, Portugal.
Henrique MadeiraCISUC-DEI, University of Coimbra, Coimbra, Portugal.
Miguel Castelo-BrancoICNAS/CIBIT, Coimbra Institute for Biomedical Imaging and Life Sciences, University of Coimbra, Azinhaga de Santa Comba, 3000-548, Coimbra, Portugal. mcbranco@fmed.uc.pt.ORCID http://orcid.org/0000-0003-4364-6373
University of Coimbra · PTPolytechnic Institute of Coimbra · PT

Funding

Centro2020 CENTRO-01-0145-FEDER-000016COMPETE2020 POCI-01-0145-FEDER-007440FP7 International Cooperation FP7-HEALTH-2013-INNOVATION-1-602186-BRAINTRAINFundação Bial 206/2016 anf 373/2014Fundação para a Ciência e a Tecnologia FCT-UID/NEU/04539/2013 , POCI Project 030852
6 · The paper itself

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.

Indexed as

AdultBrainBrain MappingCerebral CortexComprehensionDecision MakingFemaleGyrus CinguliHumansImage Processing, Computer-AssistedIntuitionLanguageMagnetic Resonance ImagingMaleNeural PathwaysSemanticsBrain mappingComputer code understandingError monitoringfMRIInformaticsInsulaSalience network

Identifiers

PMID29744802
PMCPMC6538820
OpenAlexW2800092803

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.