Inducing Affective Learning Biases with Cognitive Training and Prefrontal tDCS: A Proof-of-Concept Study.

ABSTRACT:

Background

Cognitive models of mood disorders emphasize a causal role of negative affective biases in depression. Computational work suggests that these biases may stem from a belief that negative events have a higher information content than positive events, resulting in preferential processing of and learning from negative outcomes. Learning biases therefore represent a promising target for therapeutic interventions. In this proof-of-concept study in healthy volunteers, we assessed the malleability of biased reinforcement learning using a novel cognitive training paradigm and concurrent transcranial direct current stimulation (tDCS).

Methods

In two studies, young healthy adults completed two sessions of negative (n = 20) or positive (n = 20) training designed to selectivel

SUBMITTER: Overman MJ 

PROVIDER: S-EPMC8550254 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature