Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T

To investigate the impact of adult age on the brain functional connectivity, whole-brain resting-state functional magnetic resonance imaging (R-fMRI) data were acquired on a 3T clinical MRI scanner in a cohort of 227, right-handed, native Swedish-speaking, healthy adult volunteers (N = 227, aged 18-74 years old, male/female= 99/128). The dataset is mainly consisted of a younger (18-30 years old n = 124, males/females= 51/73) and elderly adult (n = 76, 60-76 years old, males/females= 35/41) subgroups. The dataset was analyzed using a new data-driven analysis (QDA) framework. With QDA two types of threshold-free voxel-wise resting state functional connectivity (RFC) metrics were derived: the connectivity strength index (CSI) and connectivity density index (CDI), which can be utilized to assess the brain changes in functional connectivity associated with adult age. The dataset can also be useful as a reference to identify abnormal changes in brain functional connectivity resulted from neurodegenerative or neuropsychiatric disorders. (C) 2021 Published by Elsevier Inc.

Automated summary

This study investigated the impact of adult age on brain functional connectivity using resting-state functional magnetic resonance imaging data. The analysis focused on younger and elderly subgroups, deriving connectivity metrics to assess brain changes associated with adult age. The dataset may also serve as a reference for identifying abnormal changes in brain functional connectivity related to neurodegenerative or neuropsychiatric disorders.