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      Upward and downward comparisons across monetary and status domains

      research-article
      1 , 1 , 2 ,
      Human Brain Mapping
      John Wiley & Sons, Inc.
      reward, social comparison, social status

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          Abstract

          The ability to accurately infer one's place with respect to others is crucial for social interactions. Individuals tend to evaluate their own actions and outcomes by comparing themselves to others in either an upward or downward direction. We performed two fMRI meta‐analyses on monetary ( n = 39; 1,231 participants) and status ( n = 23; 572 participants) social comparisons to examine how domain and the direction of comparison can modulate neural correlates of social hierarchy. Overall, both status and monetary downward comparisons activated regions associated with reward processing (striatum) while upward comparisons yielded loss‐related activity. These findings provide partial support for the common currency hypothesis in that downward and upward comparisons from both monetary and status domains resemble gains and losses, respectively. Furthermore, status upward and monetary downward comparisons revealed concordant orbitofrontal cortical activity, an area associated with evaluating the value of goals and decisions implicated in both lesion and empirical fMRI studies investigating social hierarchy. These findings may offer new insight into how people relate to individuals with higher social status and how these social comparisons deviate across monetary and social status domains.

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          Most cited references110

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          A Theory of Social Comparison Processes

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            The reward circuit: linking primate anatomy and human imaging.

            Although cells in many brain regions respond to reward, the cortical-basal ganglia circuit is at the heart of the reward system. The key structures in this network are the anterior cingulate cortex, the orbital prefrontal cortex, the ventral striatum, the ventral pallidum, and the midbrain dopamine neurons. In addition, other structures, including the dorsal prefrontal cortex, amygdala, hippocampus, thalamus, and lateral habenular nucleus, and specific brainstem structures such as the pedunculopontine nucleus, and the raphe nucleus, are key components in regulating the reward circuit. Connectivity between these areas forms a complex neural network that mediates different aspects of reward processing. Advances in neuroimaging techniques allow better spatial and temporal resolution. These studies now demonstrate that human functional and structural imaging results map increasingly close to primate anatomy.
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              Activation likelihood estimation meta-analysis revisited.

              A widely used technique for coordinate-based meta-analysis of neuroimaging data is activation likelihood estimation (ALE), which determines the convergence of foci reported from different experiments. ALE analysis involves modelling these foci as probability distributions whose width is based on empirical estimates of the spatial uncertainty due to the between-subject and between-template variability of neuroimaging data. ALE results are assessed against a null-distribution of random spatial association between experiments, resulting in random-effects inference. In the present revision of this algorithm, we address two remaining drawbacks of the previous algorithm. First, the assessment of spatial association between experiments was based on a highly time-consuming permutation test, which nevertheless entailed the danger of underestimating the right tail of the null-distribution. In this report, we outline how this previous approach may be replaced by a faster and more precise analytical method. Second, the previously applied correction procedure, i.e. controlling the false discovery rate (FDR), is supplemented by new approaches for correcting the family-wise error rate and the cluster-level significance. The different alternatives for drawing inference on meta-analytic results are evaluated on an exemplary dataset on face perception as well as discussed with respect to their methodological limitations and advantages. In summary, we thus replaced the previous permutation algorithm with a faster and more rigorous analytical solution for the null-distribution and comprehensively address the issue of multiple-comparison corrections. The proposed revision of the ALE-algorithm should provide an improved tool for conducting coordinate-based meta-analyses on functional imaging data. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                psyyr@nus.edu.sg
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                23 July 2020
                November 2020
                : 41
                : 16 ( doiID: 10.1002/hbm.v41.16 )
                : 4662-4675
                Affiliations
                [ 1 ] Department of Psychology National University of Singapore Singapore
                [ 2 ] NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore Singapore
                Author notes
                [*] [* ] Correspondence

                Rongjun Yu, Department of Psychology, National University of Singapore, Block AS4, #02‐17, 9 Arts Link, Singapore 117570.

                Email: psyyr@ 123456nus.edu.sg

                Author information
                https://orcid.org/0000-0002-6006-9777
                https://orcid.org/0000-0003-0123-1524
                Article
                HBM25148
                10.1002/hbm.25148
                7555068
                33463879
                80345545-75aa-4c27-8ece-0682d7b889c5
                © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 January 2020
                : 10 July 2020
                : 12 July 2020
                Page count
                Figures: 4, Tables: 6, Pages: 14, Words: 10863
                Funding
                Funded by: Ministry of Health (MOH)
                Award ID: OFYIRG17may052
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                November 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.2 mode:remove_FC converted:14.10.2020

                Neurology
                reward,social comparison,social status
                Neurology
                reward, social comparison, social status

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