Réponses évoquées du monitoring de l'erreur en psychopathie: Une revue systématique et une meta-analyse des composantes ERN et PE

International audienceBackground: Evidence suggests that individuals with psychopathy display difficulties to adapt their behavior in accordance with the demands of the environment and show altered performance monitoring. However, studies investigating electrophysiological markers of error monitoring (e.g., the error-related negativity (ERN) and the error-positivity (Pe)) in this population reported mixed results. To explain discrepancies observed between studies, we hypothesized that psychopathy dimensions influence electrophysiological outcomes and we predicted that individuals with impulsive-antisocial features would display abnormal ERN compared to individuals with interpersonal-affective features. Methods: Based on the PRISMA guidelines, we conducted a systematic review and meta-analysis of studies investigating ERN and Pe components in individuals with psychopathy compared to controls. A factorial analysis was undertaken to investigate the role of psychopathy dimensions on ERN. Results: Among the 206 retrieved studies, 15 were included in the meta- analysis. Individuals with psychopathy (n = 817) showed a reduced ERN (Cohen's d = 0.18) and Pe amplitude (d = -0.22) compared to control. The factorial analysis indicates a dissociation regarding the dimensional construct of psychopathy. The impulsive-antisocial dimension was linked to reduced ERN amplitude (d = 0.22) whereas the interpersonal-affective dimension was related to increased ERN amplitude compare to controls (d = -0.17). Conclusion: Individuals with psychopathy displayed abnormal ERN and Pe amplitudes following error commission. In addition, models reported that individuals with psychopathic traits relating more specifically to the interpersonal-affective dimension shows efficient error-monitoring systems and increased ERN component while those with marked impulsive-antisocial dimension displayed decreased ERN and altered performance monitoring