title: Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies.
abstract: To better understand the reward circuitry in human brain, we conducted activation likelihood estimation (ALE) and parametric voxel-based meta-analyses (PVM) on 142 neuroimaging studies that examined brain activation in reward-related tasks in healthy adults. We observed several core brain areas that participated in reward-related decision making, including the nucleus accumbens (NAcc), caudate, putamen, thalamus, orbitofrontal cortex (OFC), bilateral anterior insula, anterior cingulate cortex (ACC) and posterior cingulate cortex (PCC), as well as cognitive control regions in the inferior parietal lobule and prefrontal cortex (PFC). The NAcc was commonly activated by both positive and negative rewards across various stages of reward processing (e.g., anticipation, outcome, and evaluation). In addition, the medial OFC and PCC preferentially responded to positive rewards, whereas the ACC, bilateral anterior insula, and lateral PFC selectively responded to negative rewards. Reward anticipation activated the ACC, bilateral anterior insula, and brain stem, whereas reward outcome more significantly activated the NAcc, medial OFC, and amygdala. Neurobiological theories of reward-related decision making should therefore take distributed and interrelated representations of reward valuation and valence assessment into account.
authors.affiliation: Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China. liux@psych.ac.cn
authors.forename: Xun
authors.initials: X
authors.lastname: Liu
authors.forename: Jacqueline
authors.initials: J
authors.lastname: Hairston
authors.forename: Madeleine
authors.initials: M
authors.lastname: Schrier
authors.forename: Jin
authors.initials: J
authors.lastname: Fan
mesh_terms: D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D001931:Brain Mapping; D016208:Databases, Factual / Q000706:statistics & numerical data; D003952:Diagnostic Imaging / Q000379:methods*; D007839:Functional Laterality; D006801:Humans; D016013:Likelihood Functions; D009434:Neural Pathways / Q000502:physiology*; D012201:Reward