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Soc Cogn Affect Neurosci. 2014 Sep;9(9):1289-302. doi: 10.1093/scan/nst106. Epub 2013 Jul 24.

Informatic parcellation of the network involved in the computation of subjective value.

Author information

1
Division of the Humanities and Social Sciences and Computation and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA clithero@hss.caltech.edu.
2
Division of the Humanities and Social Sciences and Computation and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA Division of the Humanities and Social Sciences and Computation and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA.

Abstract

Understanding how the brain computes value is a basic question in neuroscience. Although individual studies have driven this progress, meta-analyses provide an opportunity to test hypotheses that require large collections of data. We carry out a meta-analysis of a large set of functional magnetic resonance imaging studies of value computation to address several key questions. First, what is the full set of brain areas that reliably correlate with stimulus values when they need to be computed? Second, is this set of areas organized into dissociable functional networks? Third, is a distinct network of regions involved in the computation of stimulus values at decision and outcome? Finally, are different brain areas involved in the computation of stimulus values for different reward modalities? Our results demonstrate the centrality of ventromedial prefrontal cortex (VMPFC), ventral striatum and posterior cingulate cortex (PCC) in the computation of value across tasks, reward modalities and stages of the decision-making process. We also find evidence of distinct subnetworks of co-activation within VMPFC, one involving central VMPFC and dorsal PCC and another involving more anterior VMPFC, left angular gyrus and ventral PCC. Finally, we identify a posterior-to-anterior gradient of value representations corresponding to concrete-to-abstract rewards.

KEYWORDS:

IBMA; decision making; fMRI; meta-analysis; value

PMID:
23887811
PMCID:
PMC4158359
DOI:
10.1093/scan/nst106
[Indexed for MEDLINE]
Free PMC Article

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