Academic Journal
Seasonal variations of functional connectivity of human brains
Title: | Seasonal variations of functional connectivity of human brains |
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Authors: | Lyuan Xu, Soyoung Choi, Yu Zhao, Muwei Li, Baxter P. Rogers, Adam Anderson, John C. Gore, Yurui Gao, Zhaohua Ding |
Source: | Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023) |
Publisher Information: | Nature Portfolio, 2023. |
Publication Year: | 2023 |
Collection: | LCC:Medicine LCC:Science |
Subject Terms: | Medicine, Science |
More Details: | Abstract Seasonal variations have long been observed in various aspects of human life. While there is an abundance of research that has characterized seasonality effects in, for example, cognition, mood, and behavior, including studies of underlying biophysical mechanisms, direct measurements of seasonal variations of brain functional activities have not gained wide attention. We have quantified seasonal effects on functional connectivity as derived from MRI scans. A cohort of healthy human subjects was divided into four groups based on the seasons of their scanning dates as documented in the image database of the Human Connectome Project. Sinusoidal functions were used as regressors to determine whether there were significant seasonal variations in measures of brain activities. We began with the analysis of seasonal variations of the fractional amplitudes of low frequency fluctuations of regional functional signals, followed by the seasonal variations of functional connectivity in both global- and network-level. Furthermore, relevant environmental factors, including average temperature and daylength, were found to be significantly associated with brain functional activities, which may explain how the observed seasonal fluctuations arise. Finally, topological properties of the brain functional network also showed significant variations across seasons. All the observations accumulated revealed seasonality effects of human brain activities in a resting-state, which may have important practical implications for neuroimaging research. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 2045-2322 |
Relation: | https://doaj.org/toc/2045-2322 |
DOI: | 10.1038/s41598-023-43152-4 |
Access URL: | https://doaj.org/article/d569ac62205340d1a35beab623a2d2bd |
Accession Number: | edsdoj.569ac62205340d1a35beab623a2d2bd |
Database: | Directory of Open Access Journals |
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ISSN: | 20452322 |
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DOI: | 10.1038/s41598-023-43152-4 |
Published in: | Scientific Reports |
Language: | English |