ArticleNeuroImage. Clinical2020
Connections that characterize callousness: Affective features of psychopathy are associated with personalized patterns of resting-state network connectivity.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Psychopathy and medial frontal cortex: A systematic review reveals predominantly null relationships.Neuroscience and biobehavioral reviews · 2024Pooled it
- Person-specific dynamics between negative emotions and suicidal thoughts.Comprehensive psychiatry · 2024Article
- Data-driven connectivity profiles relate to smoking cessation outcomes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- Executive function and underlying brain network distinctions for callous-unemotional traits and conduct problems in adolescents.bioRxiv : the preprint server for biology · 2023Article
- Efficiency of Heterogenous Functional Connectomes Explains Variance in Callous-Unemotional Traits After Computational Lesioning of Cortical Midline and Salience Regions.Brain connectivity · 2023Article
- Impaired salience network switching in psychopathy.Behavioural brain research · 2023Article
- Connectome-based predictive modeling of empathy in adolescents with and without the low-prosocial emotion specifier.Neuroscience letters · 2023Article
- Antisocial behavior is associated with reduced frontoparietal network efficiency in youth.Social cognitive and affective neuroscience · 2023Article
- Resting-state connectivity underlying cognitive control's association with perspective taking in callous-unemotional traits.Psychiatry research. Neuroimaging · 2023Article
- Sources of Heterogeneity in Functional Connectivity During English Word Processing in Bilingual and Monolingual Children.Neurobiology of language (Cambridge, Mass.) · 2023Article
- Aberrant resting-state functional connectivity in incarcerated women with elevated psychopathic traits.Frontiers in neuroimaging · 2022Article
- Resting-state network topology characterizing callous-unemotional traits in adolescence.NeuroImage. Clinical · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPsychopathic traits are hypothesized to be associated with dysfunction across three resting-state networks: the default mode (DMN), salience (SN), and central executive (CEN). Past work has not considered heterogeneity in the neural networks of individuals who display psychopathic traits, which is likely critical in understanding the etiology of psychopathy and could underlie different symptom presentations. Thus, this study maps person-specific resting state networks and links connectivity patterns to features of psychopathy.
methodsWe examined resting-state functional connectivity among eight regions of interest in the DMN, SN, and CEN using a person-specific, sparse network mapping approach (Group Iterative Multiple Model Estimation) in a community sample of 22-year-old men from low-income, urban families (N = 123). Associations were examined between a dimensional measure of psychopathic traits and network density (i.e., number of connections within and between networks).
resultsThere was significant heterogeneity in neural networks of participants, which were characterized by person-specific connections and no common connections across the sample. Psychopathic traits, particularly affective traits, were associated with connection density between the DMN and CEN, such that greater density was associated with elevated psychopathic traits. DISCUSSION: Findings emphasize that neural networks underlying psychopathy are highly individualized. However, individuals with high levels of psychopathic traits had increased density in connections between the DMN and CEN, networks that have been linked with self-referential thinking and executive functioning. Taken together, the results highlight the utility of person-specific approaches in modeling neural networks underlying psychopathic traits, which could ultimately inform personalized prevention and intervention strategies.
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