FMRIflows: A Consortium of Fully Automatic Univariate and Multivariate fMRI Processing Pipelines.

ABSTRACT: How functional magnetic resonance imaging (fMRI) data are analyzed depends on the researcher and the toolbox used. It is not uncommon that the processing pipeline is rewritten for each new dataset. Consequently, code transparency, quality control and objective analysis pipelines are important for improving reproducibility in neuroimaging studies. Toolboxes, such as Nipype and fMRIPrep, have documented the need for and interest in automated pre-processing analysis pipelines. Recent developments in data-driven models combined with high resolution neuroimaging dataset have strengthened the need not only for a standardized preprocessing workflow, but also for a reliable and comparable statistical pipeline. Here, we introduce fMRIflows: a consortium of fully automatic neuroimaging pipelines for

SUBMITTER: Notter MP 

PROVIDER: S-EPMC10014671 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature