Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data.

ABSTRACT: Acquiring resting-state functional magnetic resonance imaging (fMRI) datasets at multiple MRI scanners and clinical sites can improve statistical power and generalizability of results. However, multi-site neuroimaging studies have reported considerable nonbiological variability in fMRI measurements due to different scanner manufacturers and acquisition protocols. These undesirable sources of variability may limit power to detect effects of interest and may even result in erroneous findings. Until now, there has not been an approach that removes unwanted site effects. In this study, using a relatively large multi-site (4 sites) fMRI dataset, we investigated the impact of site effects on functional connectivity and network measures estimated by widely used connectivity metrics and brain parc

SUBMITTER: Yu M 

PROVIDER: S-EPMC6179920 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature