Multi-Metric Approach for the Comparison of Denoising Techniques for Resting-State fMRI.

ABSTRACT: Despite the increasing use of resting-state functional magnetic resonance imaging (rs-fMRI) data for studying the spontaneous functional interactions within the brain, the achievement of robust results is often hampered by insufficient data quality and by poor knowledge of the most effective denoising methods. The present study aims to define an appropriate denoising strategy for rs-fMRI data by proposing a robust framework for the quantitative and comprehensive comparison of the performance of multiple pipelines made available by the newly proposed HALFpipe software. This will ultimately contribute to standardizing rs-fMRI preprocessing and denoising steps. Fifty-three participants took part in the study by undergoing a rs-fMRI session. Synthetic rs-fMRI data from one subject were also ge

SUBMITTER: Goffi F 

PROVIDER: S-EPMC12044599 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature