Examinando por Autor "Huepe-Artigas, Daniela"
Mostrando 1 - 2 de 2
Resultados por página
Opciones de ordenación
Ítem Cocaine polydrug use and its impact on intentional harm recognition: a highdensity EEG study(Springer Nature, 2025-08-14) Morales Sepúlveda, Juan Pablo; Van Dam, Nicholas T.; Huepe-Artigas, Daniela; Rivera-Rei, Álvaro; San-Martin, Consuelo; Rojas-Thomas, Felipe; Valdés, Joaquín; Ibáñez, Agustín; Huepe, DavidBackground Cocaine and stimulant consumption constitute a significant global issue and are associated with impaired social skills. However, the relationship between substance abuse and intentional harm recognition remains unclear. Intentional harm recognition is a crucial social cognitive ability that allows individuals to determine whether a harmful action performed by another person is deliberate or accidental. Methods The present study examined self-reported, behavioural, and neural responses associated with intentional harm recognition in n = 19 cocaine polydrug users (COC) and n = 19 healthy controls (HC). High-density electroencephalography (hdEEG) was used to measure brain activity during an Intentional Inference Task (IIT), which assesses fast intention recognition in scenarios involving deliberate or unintentional harm to people and objects. This study took place between 2014 and 2015 in Santiago, Chile. Results Behaviorally, COC exhibited slower reaction times (RT) than HC. Event-related potential (ERP) analysis revealed late frontal differences in HC when attributing intentional harm, while these differences were absent in COC. Conclusions These findings suggest a potential shift in COC towards emotional over-involvement and away from rational cognitive assessment of social information. The present results provide new insights into the recognition of intentional harm processing in cocaine polydrug users and highlight the potential clinical benefits of interventions focused on socio-emotional regulation training.Ítem The neurocognitive impact of loneliness and social networks on social adaptation(Springer Nature, 2023-07-25) Franco-O'Byrne, Daniel; Morales Sepúlveda, Juan Pablo; González-Gómez, Raul; Ibáñez, Agustín; Huepe-Artigas, Daniela; Matus, Cristian; Manen, Ruth; Fittipadi, Sol; Huepe, DavidSocial adaptation arises from the interaction between the individual and the social environment. However, little empirical evidence exists regarding the relationship between social contact and social adaptation. We propose that loneliness and social networks are key factors explaining social adaptation. Sixty-four healthy subjects with no history of psychiatric conditions participated in this study. All participants completed self-report questionnaires about loneliness, social network, and social adaptation. On a separate day, subjects underwent a resting state fMRI recording session. A hierarchical regression model on self-report data revealed that loneliness and social network were negatively and positively associated with social adaptation. Functional connectivity (FC) analysis showed that loneliness was associated with decreased FC between the fronto-amygdalar and fronto-parietal regions. In contrast, the social network was positively associated with FC between the fronto-temporo-parietal network. Finally, an integrative path model examined the combined effects of behavioral and brain predictors of social adaptation. The model revealed that social networks mediated the effects of loneliness on social adaptation. Further, loneliness-related abnormal brain FC (previously shown to be associated with difficulties in cognitive control, emotion regulation, and sociocognitive processes) emerged as the strongest predictor of poor social adaptation. Findings offer insights into the brain indicators of social adaptation and highlight the role of social networks as a buffer against the maladaptive effects of loneliness. These findings can inform interventions aimed at minimizing loneliness and promoting social adaptation and are especially relevant due to the high prevalence of loneliness around the globe. These findings also serve the study of social adaptation since they provide potential neurocognitive factors that could influence social adaptation.