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Seasonal effect—an overlooked factor in neuroimaging research
In neuroimaging research, seasonal effects are often neglected or controlled as confounding factors. However, seasonal fluctuations in mood and behavior have been observed in both psychiatric disorders and healthy participants. There are vast opportunities for neuroimaging studies to understand seas...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318079/ https://www.ncbi.nlm.nih.gov/pubmed/37400428 http://dx.doi.org/10.1038/s41398-023-02530-2 |
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author | Zhang, Rui Shokri-Kojori, Ehsan Volkow, Nora D. |
author_facet | Zhang, Rui Shokri-Kojori, Ehsan Volkow, Nora D. |
author_sort | Zhang, Rui |
collection | PubMed |
description | In neuroimaging research, seasonal effects are often neglected or controlled as confounding factors. However, seasonal fluctuations in mood and behavior have been observed in both psychiatric disorders and healthy participants. There are vast opportunities for neuroimaging studies to understand seasonal variations in brain function. In this study, we used two longitudinal single-subject datasets with weekly measures over more than a year to investigate seasonal effects on intrinsic brain networks. We found that the sensorimotor network displayed a strong seasonal pattern. The sensorimotor network is not only relevant for integrating sensory inputs and coordinating movement, but it also affects emotion regulation and executive function. Therefore, the observed seasonality effects in the sensorimotor network could contribute to seasonal variations in mood and behavior. Genetic analyses revealed seasonal modulation of biological processes and pathways relevant to immune function, RNA metabolism, centrosome separation, and mitochondrial translation that have a significant impact on human physiology and pathology. In addition, we revealed critical factors such as head motion, caffeine use, and scan time that could interfere with seasonal effects and need to be considered in future studies. |
format | Online Article Text |
id | pubmed-10318079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103180792023-07-05 Seasonal effect—an overlooked factor in neuroimaging research Zhang, Rui Shokri-Kojori, Ehsan Volkow, Nora D. Transl Psychiatry Article In neuroimaging research, seasonal effects are often neglected or controlled as confounding factors. However, seasonal fluctuations in mood and behavior have been observed in both psychiatric disorders and healthy participants. There are vast opportunities for neuroimaging studies to understand seasonal variations in brain function. In this study, we used two longitudinal single-subject datasets with weekly measures over more than a year to investigate seasonal effects on intrinsic brain networks. We found that the sensorimotor network displayed a strong seasonal pattern. The sensorimotor network is not only relevant for integrating sensory inputs and coordinating movement, but it also affects emotion regulation and executive function. Therefore, the observed seasonality effects in the sensorimotor network could contribute to seasonal variations in mood and behavior. Genetic analyses revealed seasonal modulation of biological processes and pathways relevant to immune function, RNA metabolism, centrosome separation, and mitochondrial translation that have a significant impact on human physiology and pathology. In addition, we revealed critical factors such as head motion, caffeine use, and scan time that could interfere with seasonal effects and need to be considered in future studies. Nature Publishing Group UK 2023-07-03 /pmc/articles/PMC10318079/ /pubmed/37400428 http://dx.doi.org/10.1038/s41398-023-02530-2 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 2023 https://creativecommons.org/licenses/by/4.0/Open Access 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Rui Shokri-Kojori, Ehsan Volkow, Nora D. Seasonal effect—an overlooked factor in neuroimaging research |
title | Seasonal effect—an overlooked factor in neuroimaging research |
title_full | Seasonal effect—an overlooked factor in neuroimaging research |
title_fullStr | Seasonal effect—an overlooked factor in neuroimaging research |
title_full_unstemmed | Seasonal effect—an overlooked factor in neuroimaging research |
title_short | Seasonal effect—an overlooked factor in neuroimaging research |
title_sort | seasonal effect—an overlooked factor in neuroimaging research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318079/ https://www.ncbi.nlm.nih.gov/pubmed/37400428 http://dx.doi.org/10.1038/s41398-023-02530-2 |
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