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Abstract
Collectivism is an important factor for coping with stress in one’s social life. To date, no imaging studies have revealed a direct association between collectivism and white matter structure. Collectivism is positively related to independence, harm avoidance, rejection sensitivity, cooperativeness, external locus of control, and self-monitoring and negatively related to need for uniqueness. Accordingly, we hypothesised that the neural structures underpinning collectivism are those that are also involved with its relationship using magnetic resonance imaging (MRI). This study aimed to identify the brain structures associated with collectivism in healthy young adults (n = 797), using regional grey and white matter volume, fractional anisotropy, and mean diffusivity (MD) analyses of MRI data. Scores on the collectivism scale were positively associated with MD values in the bilateral dorsolateral prefrontal cortex, left orbitofrontal cortex, inferior frontal gyrus, right superior temporal gyrus, ventral posterior cingulate cortex, globus pallidus, and calcarine cortex using the threshold-free cluster enhancement method with family-wise errors corrected to P < 0.05 at the whole-brain level. No significant associations between were found collectivism and other measures. Thus, the present findings supported our hypothesis that the neural correlates of collectivism are situated in regions involved in its related factors.
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1 Tohoku Medical and Pharmaceutical University, Division of Psychiatry, Sendai, Japan (GRID:grid.412755.0) (ISNI:0000 0001 2166 7427); Tohoku University, Department of Human Brain Science, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
2 Tohoku University, Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
3 Tohoku University, Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Department of Nuclear Medicine and Radiology, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
4 Tohoku University, Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science (FRIS), Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
5 Tohoku University, Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
6 Tohoku University, Department of Human Brain Science, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
7 Tohoku University, Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Department of Behavioral Medicine, Tokyo, Japan (GRID:grid.416859.7) (ISNI:0000 0000 9832 2227)
8 Tohoku University Graduate School of Medicine, Department of Psychiatry, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
9 Kobe University, School of Medicine, Kobe, Japan (GRID:grid.31432.37) (ISNI:0000 0001 1092 3077)
10 ADVANTAGE Risk Management Co., Ltd, Tokyo, Japan (GRID:grid.69566.3a)
11 Tohoku University, Department of Human Brain Science, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tokyo Metropolitan University, Department of Language Sciences, Graduate School of Humanities, Tokyo, Japan (GRID:grid.265074.2) (ISNI:0000 0001 1090 2030)
12 Nottingham Trent University, Department of Sport Science, School of Science and Technology, Nottingham, UK (GRID:grid.12361.37) (ISNI:0000 0001 0727 0669)
13 Tohoku University, Advanced Brain Science, Institute of Development, Aging and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
14 Tohoku University, Department of Human Brain Science, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Graduate School of International Cultural Studies, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
15 Tohoku University, Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Advanced Brain Science, Institute of Development, Aging and Cancer, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)