Brain microstructural properties related to subjective well-being: diffusion tensor imaging analysis.


Journal

Social cognitive and affective neuroscience
ISSN: 1749-5024
Titre abrégé: Soc Cogn Affect Neurosci
Pays: England
ID NLM: 101288795

Informations de publication

Date de publication:
30 09 2021
Historique:
received: 20 03 2020
revised: 15 03 2021
accepted: 13 05 2021
pubmed: 15 5 2021
medline: 25 2 2023
entrez: 14 5 2021
Statut: ppublish

Résumé

Although it is known that health is not merely the absence of disease, the positive aspects of mental health have been less comprehensively researched compared with its negative aspects. Subjective well-being (SWB) is one of the indicators of positive psychology, and high SWB is considered to benefit individuals in multiple ways. However, the neural mechanisms underlying individual differences in SWB remain unclear, particularly in terms of brain microstructural properties as detected by diffusion tensor imaging. The present study aimed to investigate the relationship between measurements of diffusion tensor imaging [mean diffusivity (MD) and fractional anisotropy] and the degree of SWB as measured using a questionnaire. Voxel-based analysis was used to investigate the association between MD and SWB scores in healthy young adults (age, 20.7 ± 1.8 years; 695 males and 514 females). Higher levels of SWB were found to be associated with lower MD in areas surrounding the right putamen, insula, globus pallidus, thalamus and caudate. These results indicated that individual SWB is associated with variability in brain microstructural properties.

Identifiants

pubmed: 33987641
pii: 6275426
doi: 10.1093/scan/nsab063
pmc: PMC8483277
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1079-1090

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press.

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Auteurs

Chiaki Terao Maeda (CT)

Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.

Hikaru Takeuchi (H)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.

Rui Nouchi (R)

Department of Cognitive Health Science, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.
Smart Aging Research Center, Tohoku University, Sendai, Miyagi 980-8575, Japan.

Ryoichi Yokoyama (R)

Suwa Red Cross Hospital, Suwa, Nagano 392-8510, Japan.

Yuka Kotozaki (Y)

Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan.

Seishu Nakagawa (S)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.
Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi 983-8512, Japan.

Atsushi Sekiguchi (A)

Department of Behavioral Medicine National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-0031, Japan.
Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan.

Kunio Iizuka (K)

Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan.

Sugiko Hanawa (S)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.

Tsuyoshi Araki (T)

ADVANTAGE Risk Management Co., Ltd, Tokyo 153-0051, Japan.

Carlos Makoto Miyauchi (CM)

Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.

Kohei Sakaki (K)

Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.

Takayuki Nozawa (T)

Research Institute for the Earth Inclusive Sensing, Tokyo Institute of Technology, Meguro, Tokyo 152-8552, Japan.

Shigeyuki Ikeda (S)

Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.

Susumu Yokota (S)

Faculty of Arts and Science, Kyushu University, Fukuoka 819-0395, Japan.

Daniele Magistro (D)

Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.

Yuko Sassa (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.

Yasuyuki Taki (Y)

Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.
Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.
Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8573, Japan.

Ryuta Kawashima (R)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.
Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.
Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980-8575, Japan.

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