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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
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
Descripción
Sumario: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.

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