Ross W. Blair

The paper describes the OpenNeuroPET initiative, which develops standards and open-source tools to standardize and share PET neuroimaging data, enhancing reproducibility and collaboration.

This paper develops a framework for image-based meta-analysis using NeuroVault data, showing that manual selection provides precise results while heuristic methods are effective for heterogeneous domains.

Neuroscout provides an automated platform for analyzing naturalistic fMRI data, enabling reproducible and generalizable research through machine learning and open tools.

The paper introduces PET-BIDS, an extension of the BIDS standard for PET data, and provides curated datasets and tools for its use.

OpenNeuro is an open archive for sharing brain imaging data following FAIR principles, hosting over 600 datasets from 20,000 participants across species and modalities, with over 150 publications citing its data.

This paper introduces fMRIPrep, a tool for preprocessing task-based fMRI data, and demonstrates its integration into a workflow for statistical analysis.

fMRIPrep, a BIDS-driven, self-adapting fMRI preprocessing pipeline, earned above-acceptable expert quality ratings on 50 of 54 OpenfMRI datasets and introduced less smoothing than FSL feat.

Neurodesign optimizes fMRI experimental designs to increase statistical power and efficiency by adjusting stimulus order and timing, while considering psychological factors.