Evidence map›Paper›PMID 35585446›Full record

ArticleBrain imaging and behavior2022

Neuroanatomical substrates of maximizing tendency in decision-making: a voxel-based morphometric study.

Hanqi Zhang, Shiyu Wei, Yajie Wang, Jie Feng

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Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hanqi ZhangSchool of Economics and Management, South China Normal University, 510006, Guangzhou, China.ORCID http://orcid.org/0000-0003-4401-5434
Shiyu WeiFaculty of Psychology, Tianjin Normal University, 300387, Tianjin, China.
Yajie WangFaculty of Psychology, Tianjin Normal University, 300387, Tianjin, China.
Jie FengFaculty of Psychology, Tianjin Normal University, 300387, Tianjin, China. fj1218120@hotmail.com.

Funding

china postdoctoral science foundation 2020M672662the ministry of education project of humanities and social science, china 20YJC190027
6 · The paper itself

Abstract

Maximizing tendency is a central decision-making concept that has increasingly drawn attention from the scientific community. It refers to individuals' predisposition to look for the best option instead of settling for something that merely passes an internal threshold of acceptability. Although this maximizing strategy intuitively increases individual benefits, it also has been linked to various negative outcomes, including decreased well-being and low life satisfaction, and it varies considerably across populations. However, the neuroanatomical characteristics underlying this heterogeneity remain poorly understood. To address this knowledge gap, a 13-item Maximization Scale and magnetic resonance imaging technique were respectively used in this study to estimate individual maximizing tendency and structural morphological information on a sample of healthy adults (n = 69). Furthermore, voxel-based morphometry (VBM) analysis was conducted to investigate the associations between gray matter volume (GMV) and maximizing tendency through univariate and multivariate pattern analysis (MVPA). Univariate analysis did not determine an association between maximizing tendency and whole-brain GMV; by contrast, MVPA revealed that maximizing tendency could be successfully predicted by the GMVs of the right inferior frontal gyrus (IFG), right insula, and right cerebellum. These findings suggest the critical role of the morphological characteristics of the cortical-subcortical circuitry in individuals' maximizing tendency.

Indexed as

BrainMagnetic Resonance ImagingAdultCerebellumGray MatterHumansPrefrontal CortexDecision-makingMaximizing tendencyMultivariate pattern analysisVoxel-based morphometry

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.