Childhood adversity is a major risk factor for emotional and cognitive disorders later in adulthood. Behavior monitoring, one of the most important components of cognitive control, plays a crucial role in flexible interaction with the environment. Here, we test a novel conceptual model discriminating between two distinct dimensions of childhood adversity (i.e., deprivation and threat) and examine their relations to dynamic stages of behavior monitoring. Sixty young healthy adults participated in this study using event-related potentials (ERPs) and the dynamic stages of behavior monitoring including response inhibition, error detection, and post-error adjustments were investigated in a classical Go/NoGo task. Multiple regression analyses revealed that participants with higher severity of childhood adversity recruited more controlled attention, as indicated by larger (more negative) conflict detection-related NoGo-N2 amplitudes and larger (more negative) error detection-related ERN amplitudes. Higher severity of childhood abuse (an indicator of threat) was related to smaller (less positive) error appraisal-related Pe amplitudes on the neural level and subsequently lower post-error accuracy on the behavioral level. These results suggested that prefrontal-supported controlled attention is influenced by universal adversity in childhood while the error-related behavioral adjustment is mainly affected by childhood abuse, indicating the dimensions of deprivation and threat are at least partially distinct.
Prolonged exposure to stress has a wide effect on the brain and cognition. Error processing, as one of the crucial components of executive function, plays an important role in cognitive and behavior control. However, to date, there is little research addressing the relationship between chronic perceived stress and error processing. The present study aims to explore the relationship between chronic perceived stress by the Cohen Perceived Stress Scale (PSS) and different stages of error processing by the method of Event-Related Potential (ERP). The error processing was tested in a classical auditory Go/NoGo paradigm, and ERP components including early Error-related Negativity (ERN) and late Error Positivity (Pe) were computed as the indices of error processing. The results showed that the PSS score was positively correlated with the Pe amplitude but not with the ERN amplitude. The correlation between PSS and the Pe amplitude holds true even after controlling the trait anxiety and depression symptoms. These results suggest that the higher the chronic stress level, the more sensitive the individuals are to their own errors as well as the more emotional/motivated attention the individuals distributed to their own errors.
Background The social representation theory states that individual differences in reciprocity decisions are composed of a stable central core (i.e., reciprocity propensity, RP) and a contextual-dependent periphery (i.e., sensitivity to the framing effect; SFE, the effect by how the decision is presented). However, the neural underpinnings that explain RP and SFE are still unknown. Method Here, we employed prediction and lesion models to decode resting-state functional connectivity (RSFC) of RP and SFE for reciprocity decisions of healthy volunteers who underwent RS functional magnetic resonance imaging and completed one-shot trust (give frame) and distrust (take frame) games as trustees. Results Regarding the central core, reciprocity rates were positively associated between the give and take frame. Neuroimaging results showed that inter-network RSFC between the default-mode network (DMN; associated with mentalizing) and cingulo-opercular network (associated with cognitive control) contributed to the prediction of reciprocity under both frames. Regarding the periphery, behavioral results demonstrated a significant framing effect-people reciprocated more in the give than in the take frame. Our neuroimaging results revealed that intra-network RSFC of DMN (associated with mentalizing) contributed dominantly to the prediction of SFE. Conclusion Our findings provide evidence for distinct neural mechanisms of RP and SFE in reciprocity decisions.
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