Neurocognitive predictors of self-reported reward responsivity and approach motivation in depression: A data-driven approach.

ABSTRACT:

Background

Individual differences in reward-related processes, such as reward responsivity and approach motivation, appear to play a role in the nature and course of depression. Prior work suggests that cognitive biases for valenced information may contribute to these reward processes. Yet there is little work examining how biased attention, processing, and memory for positively and negatively valenced information may be associated with reward-related processes in samples with depression symptoms.

Methods

We used a data-driven, machine learning (elastic net) approach to identify the best predictors of self-reported reward-related processes using multiple tasks of attention, processing, and memory for valenced information measured across behavioral, eye tracking, psychophysio

SUBMITTER: Hsu KJ 

PROVIDER: S-EPMC7951991 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature