Cargando…

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...

Descripción completa

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:
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
_version_ 1784655770972848128
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
work_keys_str_mv AT zarebamichalrafal neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT fafrowiczmagdalena neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT marektadeusz neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT beldzikewa neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT oginskahalszka neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT beresanna neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT fabapiotr neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT janikjustyna neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT lewandowskakoryna neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT ostrogorskamonika neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT sikorawachowiczbarbara neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT zyrkowskaaleksandra neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults
AT domagalikaleksandra neuroimagingofchronotypesleepqualityanddaytimesleepinessstructuralt1weightedmagneticresonancebrainimagingdatafrom136youngadults