Meta-analytic clustering dissociates brain activity and behavior profiles across reward processing paradigms.

ABSTRACT: Reward learning is a ubiquitous cognitive mechanism guiding adaptive choices and behaviors, and when impaired, can lead to considerable mental health consequences. Reward-related functional neuroimaging studies have begun to implicate networks of brain regions essential for processing various peripheral influences (e.g., risk, subjective preference, delay, social context) involved in the multifaceted reward processing construct. To provide a more complete neurocognitive perspective on reward processing that synthesizes findings across the literature while also appreciating these peripheral influences, we used emerging meta-analytic techniques to elucidate brain regions, and in turn networks, consistently engaged in distinct aspects of reward processing. Using a data-driven, meta-analytic,

SUBMITTER: Flannery JS 

PROVIDER: S-EPMC7117996 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature