A network analysis of affective and motivational individual differences and error monitoring in a non-clinical sample.

ABSTRACT: Error monitoring, which plays a crucial role in shaping adaptive behavior, is influenced by a complex interplay of affective and motivational factors. Understanding these associations often proves challenging due to the intricate nature of these variables. With the aim of addressing previous inconsistencies and methodological gaps, in this study, we utilized network analysis to investigate the relationship between affective and motivational individual differences and error monitoring. We employed six Gaussian Graphical Models on a non-clinical population ($N$ = 236) to examine the conditional dependence between the amplitude of response-related potentials (error-related negativity; correct-related negativity) and 29 self-report measures related to anxiety, depression, obsessive thoughts, c

SUBMITTER: Grabowska A 

PROVIDER: S-EPMC11513196 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature