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Neuroimaging of chronotype, sleep quality and daytime sleepiness: Structural T1-weighted magnetic resonance brain imaging data from 136 young adults
The dataset contains structural T1-weighted magnetic resonance brain imaging data from 136 young individuals (87 females; age range from 18 to 35 years old) along with questionnaire-assessed measurements of trait-like chronotype, sleep quality and daytime sleepiness. The recruitment criteria exclude...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866137/ https://www.ncbi.nlm.nih.gov/pubmed/35242936 http://dx.doi.org/10.1016/j.dib.2022.107956 |
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author | Zareba, Michal Rafal Fafrowicz, Magdalena Marek, Tadeusz Beldzik, Ewa Oginska, Halszka Beres, Anna Faba, Piotr Janik, Justyna Lewandowska, Koryna Ostrogorska, Monika Sikora-Wachowicz, Barbara Zyrkowska, Aleksandra Domagalik, Aleksandra |
author_facet | Zareba, Michal Rafal Fafrowicz, Magdalena Marek, Tadeusz Beldzik, Ewa Oginska, Halszka Beres, Anna Faba, Piotr Janik, Justyna Lewandowska, Koryna Ostrogorska, Monika Sikora-Wachowicz, Barbara Zyrkowska, Aleksandra Domagalik, Aleksandra |
author_sort | Zareba, Michal Rafal |
collection | PubMed |
description | The dataset contains structural T1-weighted magnetic resonance brain imaging data from 136 young individuals (87 females; age range from 18 to 35 years old) along with questionnaire-assessed measurements of trait-like chronotype, sleep quality and daytime sleepiness. The recruitment criteria excluded individuals with self-reported history of psychiatric or neurological conditions and current medication use. All the brain imaging sessions were performed between 5:20 PM and 8:55 PM in order to control the effect of time of day on acquired images. The data is mostly useful to scientists interested in circadian rhythmicity. It can be deployed in large-scale multicenter meta-analyzes investigating the structural brain correlates of chronotypes in humans. Additionally, the data could be of use in investigations into the effects of sleeping habits and latitude on brain anatomy. |
format | Online Article Text |
id | pubmed-8866137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88661372022-03-02 Neuroimaging of chronotype, sleep quality and daytime sleepiness: Structural T1-weighted magnetic resonance brain imaging data from 136 young adults Zareba, Michal Rafal Fafrowicz, Magdalena Marek, Tadeusz Beldzik, Ewa Oginska, Halszka Beres, Anna Faba, Piotr Janik, Justyna Lewandowska, Koryna Ostrogorska, Monika Sikora-Wachowicz, Barbara Zyrkowska, Aleksandra Domagalik, Aleksandra Data Brief Data Article The dataset contains structural T1-weighted magnetic resonance brain imaging data from 136 young individuals (87 females; age range from 18 to 35 years old) along with questionnaire-assessed measurements of trait-like chronotype, sleep quality and daytime sleepiness. The recruitment criteria excluded individuals with self-reported history of psychiatric or neurological conditions and current medication use. All the brain imaging sessions were performed between 5:20 PM and 8:55 PM in order to control the effect of time of day on acquired images. The data is mostly useful to scientists interested in circadian rhythmicity. It can be deployed in large-scale multicenter meta-analyzes investigating the structural brain correlates of chronotypes in humans. Additionally, the data could be of use in investigations into the effects of sleeping habits and latitude on brain anatomy. Elsevier 2022-02-15 /pmc/articles/PMC8866137/ /pubmed/35242936 http://dx.doi.org/10.1016/j.dib.2022.107956 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Zareba, Michal Rafal Fafrowicz, Magdalena Marek, Tadeusz Beldzik, Ewa Oginska, Halszka Beres, Anna Faba, Piotr Janik, Justyna Lewandowska, Koryna Ostrogorska, Monika Sikora-Wachowicz, Barbara Zyrkowska, Aleksandra Domagalik, Aleksandra Neuroimaging of chronotype, sleep quality and daytime sleepiness: Structural T1-weighted magnetic resonance brain imaging data from 136 young adults |
title | Neuroimaging of chronotype, sleep quality and daytime sleepiness: Structural T1-weighted magnetic resonance brain imaging data from 136 young adults |
title_full | Neuroimaging of chronotype, sleep quality and daytime sleepiness: Structural T1-weighted magnetic resonance brain imaging data from 136 young adults |
title_fullStr | Neuroimaging of chronotype, sleep quality and daytime sleepiness: Structural T1-weighted magnetic resonance brain imaging data from 136 young adults |
title_full_unstemmed | Neuroimaging of chronotype, sleep quality and daytime sleepiness: Structural T1-weighted magnetic resonance brain imaging data from 136 young adults |
title_short | Neuroimaging of chronotype, sleep quality and daytime sleepiness: Structural T1-weighted magnetic resonance brain imaging data from 136 young adults |
title_sort | neuroimaging of chronotype, sleep quality and daytime sleepiness: structural t1-weighted magnetic resonance brain imaging data from 136 young adults |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866137/ https://www.ncbi.nlm.nih.gov/pubmed/35242936 http://dx.doi.org/10.1016/j.dib.2022.107956 |
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