Assessing Multi-Site rs-fMRI-Based Connectomic Harmonization Using Information Theory

ABSTRACT: Several harmonization techniques have recently been proposed for connectomics/networks derived from resting-state functional magnetic resonance imaging (rs-fMRI) acquired at multiple sites. These techniques have the objective of mitigating site-specific biases that complicate its subsequent analysis and, therefore, compromise the quality of the results when these images are analyzed together. Thus, harmonization is indispensable when large cohorts are required in which the data obtained must be independent of the particular condition of each resonator, its make and model, its calibration, and other features or artifacts that may affect the significance of the acquisition. To date, no assessment of the actual efficacy of these harmonization techniques has been proposed. In this work, we app

SUBMITTER: Roffet F 

PROVIDER: S-EPMC9496818 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature