Loneliness inside of the brain: evidence from a large dataset of resting-state fMRI in young adult

Brilliant T., D, Takeuchi, H, Nouchi, R, Yokoyama, R, Kotozaki, Y, Nakagawa, S, Hanawa, S, Sekiguchi, A, Ikeda, S, Sakaki, K, Kawata, KHdS, Nozawa, T, Yokota, S, Magistro, D ORCID: https://orcid.org/0000-0002-2554-3701 and Kawashima, R, 2022. Loneliness inside of the brain: evidence from a large dataset of resting-state fMRI in young adult. Scientific Reports, 12: 7856. ISSN 2045-2322

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Abstract

Although loneliness itself is a natural emotion, prolonged loneliness is detrimental to human health. Despite its detrimental effect, few loneliness-related neuroimaging studies have been published and some have limitations on the sample size number. This study aims to find the difference in resting-state functional connectivity associated with loneliness within a big sample size via the seed-based approach. Functional connectivity analysis was performed on a large cohort of young adults (N = 1336) using the seed-based functional connectivity approach to address the concern from previous studies. The analysis yielded statistically significant positive correlations between loneliness and functional connectivities between the inferior frontal gyrus and supplementary motor area, precentral gyrus, and superior parietal lobule. Additionally, the analysis replicated a finding from a previous study, which is increased functional connectivities between the inferior frontal gyrus and supplementary motor area. In conclusion, greater loneliness is reflected by stronger functional connectivity of the visual attention brain area.

Item Type:	Journal article
Publication Title:	Scientific Reports
Creators:	Brilliant T., D., Takeuchi, H., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Hanawa, S., Sekiguchi, A., Ikeda, S., Sakaki, K., Kawata, K.H.S., Nozawa, T., Yokota, S., Magistro, D. and Kawashima, R.
Publisher:	Springer Science and Business Media LLC
Date:	December 2022
Volume:	12
ISSN:	2045-2322
Identifiers:	Number Type 10.1038/s41598-022-11724-5 DOI 1545667 Other
Rights:	© The Author(s) 2022. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	16 May 2022 08:31
Last Modified:	16 May 2022 08:31
URI:	https://irep.ntu.ac.uk/id/eprint/46321

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