Elizabeth DuPré

This paper benchmarks five functional alignment methods for inter-subject decoding across four datasets, finding that alignment improves accuracy but the best method depends on context.

This study evaluates how different preprocessing pipelines affect neuroimaging analyses, showing that software, parcellation, and quality control significantly impact results.

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.

The paper examines structural covariance networks across age 6-94, identifying two age-dependent trends in neurocognitive networks using partial least squares.