Data in Brief (Apr 2022)

Neuroimaging of chronotype, sleep quality and daytime sleepiness: Structural T1-weighted magnetic resonance brain imaging data from 136 young adults

  • Michal Rafal Zareba,
  • Magdalena Fafrowicz,
  • Tadeusz Marek,
  • Ewa Beldzik,
  • Halszka Oginska,
  • Anna Beres,
  • Piotr Faba,
  • Justyna Janik,
  • Koryna Lewandowska,
  • Monika Ostrogorska,
  • Barbara Sikora-Wachowicz,
  • Aleksandra Zyrkowska,
  • Aleksandra Domagalik

Journal volume & issue
Vol. 41
p. 107956

Abstract

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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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