scholarly journals Neural correlates of error monitoring in adolescents prospectively predict initiation of tobacco use

2015 ◽  
Vol 16 ◽  
pp. 166-173 ◽  
Author(s):  
Andrey P. Anokhin ◽  
Simon Golosheykin
Keyword(s):  
Tobacco Use ◽  
Neural Correlates ◽  
Error Monitoring

Neural Correlates of Error Monitoring Modulated by Atomoxetine in Healthy Volunteers

2011 ◽  
Vol 69 (9) ◽  
pp. 890-897 ◽  
Author(s):  
Heiko Graf ◽  
Birgit Abler ◽  
Roland Freudenmann ◽  
Petra Beschoner ◽  
Elke Schaeffeler ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Neural Correlates ◽  
Error Monitoring

scholarly journals Reading and Calculation Neural Systems and Their Weighted Adaptive Use for Programming Skills

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Joao Castelhano ◽  
Isabel C. Duarte ◽  
Joao Duraes ◽  
Henrique Madeira ◽  
Miguel Castelo-Branco
Keyword(s):  
Meta Analysis ◽  
Neural Correlates ◽  
Hemispheric Lateralization ◽  
Error Monitoring ◽  
Neural Basis ◽  
Program Understanding ◽  
The Core ◽  
Midcingulate Cortex ◽  
Programming Skills

Software programming is a modern activity that poses strong challenges to the human brain. The neural mechanisms that support this novel cognitive faculty are still unknown. On the other hand, reading and calculation abilities represent slightly less recent human activities, in which neural correlates are relatively well understood. We hypothesize that calculus and reading brain networks provide joint underpinnings with distinctly weighted contributions which concern programming tasks, in particular concerning error identification. Based on a meta-analysis of the core regions involved in both reading and math and recent experimental evidence on the neural basis of programming tasks, we provide a theoretical account that integrates the role of these networks in program understanding. In this connectivity-based framework, error-monitoring processing regions in the frontal cortex influence the insula, which is a pivotal hub within the salience network, leading into efficient causal modulation of parietal networks involved in reading and mathematical operations. The core role of the anterior insula and anterior midcingulate cortex is illuminated by their relation to performance in error processing and novelty. The larger similarity that we observed between the networks underlying calculus and programming skills does not exclude a more limited but clear overlap with the reading network, albeit with differences in hemispheric lateralization when compared with prose reading. Future work should further elucidate whether other features of computer program understanding also use distinct weights of phylogenetically “older systems” for this recent human activity, based on the adjusting influence of fronto-insular networks. By unraveling the neural correlates of program understanding and bug detection, this work provides a framework to understand error monitoring in this novel complex faculty.

scholarly journals Test-Retest Reliability of Neural Correlates of Response Inhibition and Error Monitoring: An fMRI Study of a Stop-Signal Task

2021 ◽  
Vol 15 ◽  
Author(s):  
Ozlem Korucuoglu ◽  
Michael P. Harms ◽  
Serguei V. Astafiev ◽  
Semyon Golosheykin ◽  
James T. Kennedy ◽  
...  
Keyword(s):  
Response Inhibition ◽  
Noise Removal ◽  
Neural Correlates ◽  
Brain Regions ◽  
Stop Signal ◽  
Stop Signal Task ◽  
Error Monitoring ◽  
Retest Reliability ◽  
Dorsolateral Prefrontal ◽  
Test Retest Reliability

Response inhibition (RI) and error monitoring (EM) are important processes of adaptive goal-directed behavior, and neural correlates of these processes are being increasingly used as transdiagnostic biomarkers of risk for a range of neuropsychiatric disorders. Potential utility of these purported biomarkers relies on the assumption that individual differences in brain activation are reproducible over time; however, available data on test-retest reliability (TRR) of task-fMRI are very mixed. This study examined TRR of RI and EM-related activations using a stop signal task in young adults (n = 56, including 27 pairs of monozygotic (MZ) twins) in order to identify brain regions with high TRR and familial influences (as indicated by MZ twin correlations) and to examine factors potentially affecting reliability. We identified brain regions with good TRR of activations related to RI (inferior/middle frontal, superior parietal, and precentral gyri) and EM (insula, medial superior frontal and dorsolateral prefrontal cortex). No subcortical regions showed significant TRR. Regions with higher group-level activation showed higher TRR; increasing task duration improved TRR; within-session reliability was weakly related to the long-term TRR; motion negatively affected TRR, but this effect was abolished after the application of ICA-FIX, a data-driven noise removal method.

scholarly journals Neural correlates of error-monitoring and mindset: Back to the drawing board?

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254322
Author(s):  
Tieme W. P. Janssen ◽  
Smiddy Nieuwenhuis ◽  
Jamie Hoefakker ◽  
Patricia D. Dreier Gligoor ◽  
Milene Bonte ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
Neural Correlates ◽  
Error Monitoring ◽  
Contextual Influences ◽  
Behavioral Measures ◽  
Stimulus Processing ◽  
Related Potentials ◽  
The Relationship ◽  
Previous Error ◽  
Mindset Theory

The different ways students deal with mistakes is an integral part of mindset theory. While previous error-monitoring studies found supporting neural evidence for mindset-related differences, they may have been confounded by overlapping stimulus processing. We therefore investigated the relationship between mindset and event-related potentials (ERPs) of error-monitoring (response-locked Ne, Pe), with and without overlap correction. In addition, besides behavioral measures of remedial action after errors (post-error slowing and accuracy), we investigated their neural correlates (stimulus-locked N2). Results indicated comparable Ne, but larger Pe amplitudes in fixed-minded students; however, after overlap correction, the Pe results were rendered non-significant. A likely explanation for this overlap was a near-significant effect of mindset on the preceding stimulus P3. Finally, although N2 was larger for trials following errors, mindset was unrelated. The current study shows that the relationship between error-monitoring and mindset is more complex and should be reconsidered. Future studies are advised to explore stimulus processing as well, and if needed, to correct for stimulus overlap. In addition, contextual influences on and individual variation in error-monitoring need more scrutiny, which may contribute to refining mindset theory.

Dose-dependent effects of cannabis on the neural correlates of error monitoring in frequent cannabis users

2015 ◽  
Vol 25 (11) ◽  
pp. 1943-1953 ◽  
Author(s):  
Mikael A. Kowal ◽  
Henk van Steenbergen ◽  
Lorenza S. Colzato ◽  
Arno Hazekamp ◽  
Nic J.A. van der Wee ◽  
...  
Keyword(s):  
Neural Correlates ◽  
Error Monitoring ◽  
Dose Dependent

Neural correlates of error monitoring modulated by atomoxetine in healthy volunteers: a randomized, placebo-controlled fMRI-study

2011 ◽  
Vol 44 (06) ◽  
Author(s):  
H Graf ◽  
B Abler ◽  
R Freudenmann ◽  
P Beschoner ◽  
E Schaeffeler ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Neural Correlates ◽  
Error Monitoring ◽  
Fmri Study

scholarly journals Neural correlates of error-monitoring and mindset: back to the drawing board?

2021 ◽  
Author(s):  
Tieme Willem Pieter Janssen ◽  
Smiddy Nieuwenhuis ◽  
Jamie Hoefakker ◽  
Patricia D. Dreier Gligoor ◽  
Milene Bonte ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
Neural Correlates ◽  
Error Monitoring ◽  
Behavioral Measures ◽  
Stimulus Processing ◽  
Related Potentials ◽  
Drawing Board ◽  
The Relationship ◽  
Monitoring Response ◽  
Previous Error

The different ways students deal with mistakes is an integral part of mindset theory. While previous error-monitoring studies found supporting neural evidence for mindset-related differences, they may have been confounded by overlapping stimulus processing. We therefore investigated the relationship between mindset and event-related potentials (ERPs) of error-monitoring (response-locked Ne, Pe), with and without overlap correction. In addition, besides behavioral measures of remedial action after errors (increased post-error slowing and accuracy), we investigated their neural correlates (enhanced stimulus-locked N2). Results indicated comparable Ne, but larger Pe amplitudes in fixed-minded students; however, after overlap correction, the Pe results were rendered non-significant. A likely explanation for this overlap was a near-significant effect of mindset on the preceding stimulus P3. Finally, although N2 was larger for trials following errors, mindset was unrelated. The current study shows that the relationship between error-monitoring and mindset is more complex and should be reconsidered. Future studies are advised to explore stimulus processing as well, and if needed, to correct for stimulus overlap.

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