ArticleThe European journal of neuroscience2022
Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study.
Article in The European journal of neuroscience, 2022. 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, 30 citations in OpenAlex.
- Personality and cortical architecture in premenstrual dysphoric disorder.Archives of women's mental health · 2026Article
- Neural fingerprint of the dark triad: Resting state BOLD power (fALFF) alterations in executive and default mode networks.Cognitive, affective & behavioral neuroscience · 2026Article
- Gray and white matter alterations in Obsessive-Compulsive Personality Disorder: a data fusion machine learning approach.Frontiers in human neuroscience · 2025Article
- Resting-state BOLD temporal variability of the default mode network predicts spontaneous mind wandering, which is negatively associated with mindfulness skills.Frontiers in human neuroscience · 2025Article
- Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning Analysis.Brain and behavior · 2024Article
- The relationship between trait anger and reactive aggressive behavior in middle school students: the mediating role and intervention of hostile attribution bias.BMC psychology · 2024Article
- Neural basis of reward expectancy inducing proactive aggression.Cognitive, affective & behavioral neuroscience · 2024Article
- Reduced GM-WM concentration inside the Default Mode Network in individuals with high emotional intelligence and low anxiety: a data fusion mCCA+jICA approach.Social cognitive and affective neuroscience · 2024Article
- Article
- A fronto-insular network underlies individual variations in anger expression and control.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Stability, change, and reliable individual differences in electroencephalography measures: A lifespan perspective on progress and opportunities.NeuroImage · 2023Review
- Unsupervised classification reveals consistency and degeneracy in neural network patterns of emotion.Social cognitive and affective neuroscience · 2022Article
- Resting-state BOLD temporal variability in sensorimotor and salience networks underlies trait emotional intelligence and explains differences in emotion regulation strategies.Scientific reports · 2022Article
- Evidence for lateralized functional connectivity patterns at rest related to the tendency of externalizing or internalizing anger.Cognitive, affective & behavioral neuroscience · 2022Article
- Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study.The European journal of neuroscience · 2022Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
The ability to experience, use and eventually control anger is crucial to maintain well-being and build healthy relationships. Despite its relevance, the neural mechanisms behind individual differences in experiencing and controlling anger are poorly understood. To elucidate these points, we employed an unsupervised machine learning approach based on independent component analysis to test the hypothesis that specific functional and structural networks are associated with individual differences in trait anger and anger control. Structural and functional resting state images of 71 subjects as well as their scores from the State-Trait Anger Expression Inventory entered the analyses. At a structural level, the concentration of grey matter in a network including ventromedial temporal areas, posterior cingulate, fusiform gyrus and cerebellum was associated with trait anger. The higher the concentration, the higher the proneness to experience anger in daily life due to the greater tendency to orient attention towards aversive events and interpret them with higher hostility. At a functional level, the activity of the default mode network (DMN) was associated with anger control. The higher the DMN temporal frequency, the stronger the exerted control over anger, thus extending previous evidence on the role of the DMN in regulating cognitive and emotional functions in the domain of anger. Taken together, these results show, for the first time, two specialized brain networks for encoding individual differences in trait anger and anger control.
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Registered trials
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.