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

Maeda, C.T., Takeuchi, H., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Hanawa, S., Araki, T., Miyauchi, C.M., Sakaki, K., Nozawa, T., Shigeyuki, I., Yokota, S., Magistro, D. ORCID: 0000-0002-2554-3701, Sassa, Y., Taki, Y. and Kawashima, R., 2021. Brain microstructural properties related to subjective well-being: diffusion tensor imaging analysis. Social Cognitive and Affective Neuroscience. ISSN 1749-5016

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Abstract

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 is one of the indicators of positive psychology, and high subjective well-being is considered to benefit individuals in multiple ways. However, the neural mechanisms underlying individual differences in subjective well-being 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 and fractional anisotropy) and the degree of subjective well-being as measured using a questionnaire. Voxel-based analysis was used to investigate the association between mean diffusivity and subjective well-being scores in healthy young adults (age, 20.7 ± 1.8 years; 695 males and 514 females). Higher levels of subjective well-being were found to be associated with lower mean diffusivity in areas surrounding the right putamen, insula, globus pallidus, thalamus, and caudate. These results indicated that individual subjective well-being is associated with variability in brain microstructural properties.

Item Type: Journal article
Publication Title: Social Cognitive and Affective Neuroscience
Creators: Maeda, C.T., Takeuchi, H., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Hanawa, S., Araki, T., Miyauchi, C.M., Sakaki, K., Nozawa, T., Shigeyuki, I., Yokota, S., Magistro, D., Sassa, Y., Taki, Y. and Kawashima, R.
Publisher: Oxford University Press
Date: 14 May 2021
ISSN: 1749-5016
Identifiers:
NumberType
10.1093/scan/nsab063DOI
1439274Other
Rights: © The Author(s) 2021. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 28 May 2021 14:14
Last Modified: 31 May 2021 15:02
URI: http://irep.ntu.ac.uk/id/eprint/42950

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