Mean diffusivity related to collectivism among university students in Japan.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
04 02 2019
Historique:
received: 05 07 2018
accepted: 18 12 2018
entrez: 6 2 2019
pubmed: 6 2 2019
medline: 21 8 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 30718676
doi: 10.1038/s41598-018-37995-5
pii: 10.1038/s41598-018-37995-5
pmc: PMC6362187
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1338

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Auteurs

Seishu Nakagawa (S)

Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan. seishu.nakagawa.e8@tohoku.ac.jp.
Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan. seishu.nakagawa.e8@tohoku.ac.jp.

Hikaru Takeuchi (H)

Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Yasuyuki Taki (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Department of Nuclear Medicine and Radiology, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Rui Nouchi (R)

Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science (FRIS), Tohoku University, Sendai, Japan.
Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Yuka Kotozaki (Y)

Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Takamitsu Shinada (T)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Tsukasa Maruyama (T)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Atsushi Sekiguchi (A)

Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.

Kunio Iizuka (K)

Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.

Ryoichi Yokoyama (R)

School of Medicine, Kobe University, Kobe, Japan.

Yuki Yamamoto (Y)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Sugiko Hanawa (S)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Tsuyoshi Araki (T)

ADVANTAGE Risk Management Co., Ltd, Tokyo, Japan.

Carlos Makoto Miyauchi (CM)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan.

Daniele Magistro (D)

Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK.

Kohei Sakaki (K)

Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Hyeonjeong Jeong (H)

Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan.

Yukako Sasaki (Y)

Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Ryuta Kawashima (R)

Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

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