fMRIflows

fMRIflows performs fully automated preprocessing and statistical analysis of functional magnetic resonance imaging (fMRI) data to improve reproducibility and reliability in neuroimaging studies.

Key Features:

• Fully Automatic Processing: Automates standard preprocessing and advanced statistical analyses, including 1st- and 2nd-level univariate and multivariate analyses.
• Standardized Preprocessing Pipelines: Ensures uniform data preparation across datasets to maintain comparability between studies.
• Flexible Temporal and Spatial Filtering: Provides temporal and spatial filtering options to accommodate high temporal resolution datasets and optimize data for machine learning and signal decoding.
• Single-Subject and Group Analyses: Supports both single-subject and group-level univariate and multivariate analyses.
• Validation Against Established Pipelines: Includes validation results comparing outputs to fMRIPrep, FSL, and SPM.

Scientific Applications:

• Neuroimaging reproducibility studies: Enables standardized comparison of preprocessing and statistical workflows across datasets for reproducibility assessment.
• Machine learning and decoding of brain signals: Prepares data and supports analyses for data-driven models and signal-decoding experiments in basic and applied neuroscience.

Methodology:

Automated standard preprocessing and 1st- and 2nd-level univariate and multivariate statistical analyses with flexible temporal and spatial filtering; validated against fMRIPrep, FSL, and SPM using three datasets with varying temporal sampling and acquisition parameters.