The effects of anxiety, depressive, and obsessive-compulsive subclinical symptoms on performance monitoring

Abstract

Dysfunctional performance monitoring has been proposed as a potential neurocognitive biomarker of various internalising psychopathological symptoms, such as anxiety, depressive, and obsessive-compulsive symptoms. Given the overlapping neurophysiological findings and high rates of comorbidity amongst these internalising symptoms, an important research gap pertains to the specificity of performance monitoring to each of these symptoms. The aim of the present study was to examine the effects of anxiety, depressive, and obsessive-compulsive symptoms on performance monitoring in healthy adults. The sample consisted of 50 participants, with ages ranging from 18 to 33 years (M = 22.82, SD = 3.84). The Depression, Anxiety, and Stress Scales-21 and the Obsessive Compulsive Inventory-Revised were administered to assess the various internalising symptoms. An arrow flanker task was administered to elicit error responses whilst electrophysiological data were recorded from the scalp. Performance monitoring was indexed by the error-related negativity and correct response negativity. Bivariate correlations revealed that the three internalising symptoms were not associated with error-related negativity or correct response negativity amplitudes. However, a regression model revealed that greater levels of anxiety symptoms were uniquely associated with larger error-related negativity amplitude after controlling for depressive symptoms. In addition, greater levels of depressive symptoms were uniquely associated with smaller error-related negativity amplitude. Another regression model revealed that greater levels of depressive symptoms were uniquely associated with smaller correct response negativity amplitude after controlling for anxiety symptoms. These findings suggest that performance monitoring differentially associates with anxiety and depressive symptoms amongst healthy adults, providing some evidence of specificity for each respective symptoms.