Separate Neural Networks for Gains and Losses in Intertemporal Choice.

ABSTRACT: An important and unresolved question is how human brain regions process information and interact with each other in intertemporal choice related to gains and losses. Using psychophysiological interaction and dynamic causal modeling analyses, we investigated the functional interactions between regions involved in the decision-making process while participants performed temporal discounting tasks in both the gains and losses domains. We found two distinct intrinsic valuation systems underlying temporal discounting in the gains and losses domains: gains were specifically evaluated in the medial regions, including the medial prefrontal and orbitofrontal cortices, and losses were evaluated in the lateral dorsolateral prefrontal cortex. In addition, immediate reward or punishment was found to mo

SUBMITTER: Zhang YY 

PROVIDER: S-EPMC6129240 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature