Back to Search Start Over

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

Authors :
Spreng, R. Nathan
Setton, Roni
Alter, Udi
Cassidy, Benjamin N.
Darboh, Bri
DuPre, Elizabeth
Kantarovich, Karin
Lockrow, Amber W.
Mwilambwe-Tshilobo, Laetitia
Luh, Wen-Ming
Kundu, Prantik
Turner, Gary R.
Source :
Scientific Data; 3/29/2022, Vol. 9 Issue 1, p1-11, 11p
Publication Year :
2022

Abstract

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). Measurement(s) Magnetization-Prepared Rapid Gradient Echo MRI • Functional Magnetic Resonance Imaging • T2 and Fluid Attenuated Inversion Recovery MRI • Cognition Technology Type(s) 3 Tesla Magnetic Resonance Imaging • Cognitive Assessment Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location United States of America • Canada [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
9
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
156024382
Full Text :
https://doi.org/10.1038/s41597-022-01231-7