Journal article
ENIGMA HALFpipe: Interactive, reproducible, and efficient analysis for resting-state and task-based fMRI data
L Waller, S Erk, E Pozzi, YJ Toenders, CC Haswell, M Büttner, PM Thompson, L Schmaal, RA Morey, H Walter, IM Veer
Human Brain Mapping | WILEY | Published : 2022
DOI: 10.1002/hbm.25829
Abstract
The reproducibility crisis in neuroimaging has led to an increased demand for standardized data processing workflows. Within the ENIGMA consortium, we developed HALFpipe (Harmonized Analysis of Functional MRI pipeline), an open-source, containerized, user-friendly tool that facilitates reproducible analysis of task-based and resting-state fMRI data through uniform application of preprocessing, quality assessment, single-subject feature extraction, and group-level statistics. It provides state-of-the-art preprocessing using fMRIPrep without the requirement for input data in Brain Imaging Data Structure (BIDS) format. HALFpipe extends the functionality of fMRIPrep with additional preprocessing..
View full abstractGrants
Awarded by Horizon 2020
Funding Acknowledgements
German Research Foundation, Grant/Award Numbers: DFG ER 724/4-1, WA 1539/11-1; Biogen, Inc.; National Institutes of Health, Grant/Award Numbers: NIH R01, MH117601; NHMRC Career Development Fellowship, Grant/Award Number: 1140764; National Institutes of Health, Grant/Award Numbers: NIH R01, MH111671; European Union's Horizon 2020 research andinnovation programme, Grant/Award Number: 777084