Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures.

Autor: Spreng RN; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada. nathan.spreng@gmail.com.; McConnell Brain Imaging Centre, McGill University, Montreal, QC, Canada. nathan.spreng@gmail.com.; Departments of Psychiatry and Psychology, McGill University, Montreal, QC, Canada. nathan.spreng@gmail.com.; Douglas Mental Health University Institute, Verdun, QC, Canada. nathan.spreng@gmail.com., Setton R; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada., Alter U; Department of Psychology, York University, Toronto, ON, Canada.; Department of Psychology, Ryerson University, Toronto, ON, Canada., Cassidy BN; Department of Psychiatry, University of Toronto, Toronto, ON, Canada., Darboh B; Department of Psychology, York University, Toronto, ON, Canada., DuPre E; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada., Kantarovich K; Department of Psychology, York University, Toronto, ON, Canada., Lockrow AW; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada., Mwilambwe-Tshilobo L; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada., Luh WM; National Institute on Aging, National Institutes of Health, Baltimore, MD, USA., Kundu P; Icahn School of Medicine at Mount Sinai, New York, NY, USA., Turner GR; Department of Psychology, York University, Toronto, ON, Canada.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2022 Mar 29; Vol. 9 (1), pp. 119. Date of Electronic Publication: 2022 Mar 29.
DOI: 10.1038/s41597-022-01231-7
Abstrakt: Central to understanding human behavior is a comprehensive mapping of brain-behavior relations within the context of lifespan development. Reproducible discoveries depend upon well-powered samples of reliable data. We provide to the scientific community two, 10-minute, multi-echo functional MRI (ME-fMRI) runs, and structural MRI (T1-MPRAGE), from 181 healthy younger (ages 18-34 y) and 120 older adults (ages 60-89 y). T2-FLAIR MRIs and behavioral assessments are available in a majority subset of over 250 participants. Behavioral assessments include fluid and crystallized cognition, self-reported measures of personality, and socioemotional functioning. Initial quality control and validation of these data is provided. This dataset will be of value to scientists interested in BOLD signal specifically isolated from ME-fMRI, individual differences in brain-behavioral associations, and cross-sectional aging effects in healthy adults. Demographic and behavioral data are available within the Open Science Framework project "Goal-Directed Cognition in Older and Younger Adults" ( http://osf.io/yhzxe/ ), which will be augmented over time; neuroimaging data are available on OpenNeuro ( https://openneuro.org/datasets/ds003592 ).
(© 2022. The Author(s).)
Databáze: MEDLINE
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