Machine learning reveals differential effects of depression and anxiety on reward and punishment processing.

ABSTRACT: Recent studies suggest that depression and anxiety are associated with unique aspects of EEG responses to reward and punishment, respectively; also, abnormal responses to punishment in depressed individuals are related to anxiety, the symptoms of which are comorbid with depression. In a non-clinical sample, we aimed to investigate the relationships between reward processing and anxiety, between punishment processing and anxiety, between reward processing and depression, and between punishment processing and depression. Towards this aim, we separated feedback-related brain activity into delta and theta bands to isolate activity that indexes functionally distinct processes. Based on the delta/theta frequency and feedback valence, we then used machine learning (ML) to classify individuals wit

SUBMITTER: Grabowska A 

PROVIDER: S-EPMC11366008 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature