Denoising strategies of functional connectivity MRI data in lesional and non-lesional brain diseases.

ABSTRACT: Functional connectivity magnetic resonance imaging (fcMRI) is a widely utilized tool for analyzing functional connectivity (FC) in both healthy and diseased brains. However, patients with brain disorders are particularly susceptible to head movement during scanning, which can introduce substantial noise and compromise data quality. Therefore, identifying optimal denoising strategies is essential to ensure reliable and accurate downstream data analysis for both lesional and non-lesional brain conditions. In this study, we analyzed data from four cohorts: healthy subjects, patients with brain lesions (glioma, meningioma), and patients with a non-lesional encephalopathic condition. Our goal was to evaluate various denoising strategies using quality control (QC) metrics to identify the most ef

SUBMITTER: Wunderlich S 

PROVIDER: S-EPMC12580809 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature