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Title: Resting-state neural activity and connectivity associated with subjective happiness
Authors: Sato, Wataru  KAKEN_id  orcid https://orcid.org/0000-0002-5335-1272 (unconfirmed)
Kochiyama, Takanori
Uono, Shota
Sawada, Reiko
Kubota, Yasutaka
Yoshimura, Sayaka  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-4273-8575 (unconfirmed)
Toichi, Motomi  kyouindb  KAKEN_id
Author's alias: 佐藤, 弥
河内山, 隆紀
魚野, 翔太
澤田, 玲子
久保田, 泰考
義村, さや香
十一, 元三
Keywords: Consciousness
Limbic system
Issue Date: 20-Aug-2019
Publisher: Springer Nature
Journal title: Scientific Reports
Volume: 9
Thesis number: 12098
Abstract: The majority of people throughout the world rate subjective happiness as the top of the important thing in life. A recent structural neuroimaging study exploring neurocognitive mechanisms underlying subjective happiness has suggested that the gray matter volume of the right precuneus is associated with Subjective Happiness Scale (SHS) scores. However, how the neural activity in this region, as well as the neural functional coupling between this and other regions, could be related to SHS scores remains unclear. To investigate these issues, we performed resting-state functional magnetic resonance imaging and analyzed the fractional amplitude of low-frequency fluctuation (fALFF) in participants, whose subjective happiness was evaluated using the SHS. Lower fALFF values in the right precuneus were associated with higher SHS scores. Furthermore, functional connectivity and spectral dynamic causal modeling analyses showed that both functional and effective connectivity of the right precuneus with the right amygdala were positively associated with SHS scores. These findings, together with other evidence on the information-processing functions of these brain regions, suggest the possibility that subjective happiness is associated with a reduction in self-referential mental processes, which are well integrated with emotional processing.
Description: 幸福の脳活動を解明 --大脳右楔前部の安静時活動が低いほど主観的幸福得点が高い--. 京都大学プレスリリース. 2019-08-26.
Rights: © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
URI: http://hdl.handle.net/2433/243762
DOI(Published Version): 10.1038/s41598-019-48510-9
PubMed ID: 31431639
Related Link: https://www.kyoto-u.ac.jp/ja/research-news/2019-08-26-0
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