ndmg provides robust and reliable estimates of MRI connectivity across a wide range of datasets at 1mm resolution, across 25 parcellations, ranging in size from 48 to 72,000 nodes, all in MNI152 standard space.
ndmg is a turn-key pipeline that provides session and group-level analysis, performing connectome estimation and summary statistic computation.
ndmg runs reliably and robustly datasets spanning multiple scanners, acquisition parameters, and population demographics.
- A. Nikolaidis et al. Bagging Improves Reproducibility of Functional Parcellation of the Human Brain. bioRxiv, 2019.
- G. Kiar et al. A High-Throughput Pipeline Identifies Robust Connectomes But Troublesome Variability. bioRxiv, 2018.
- G. Kiar et al. A comprehensive cloud framework for accurate and reliable human connectome estimation and meganalysis. bioRxiv, 2017.
- G. Kiar et al. Science in the cloud (SIC): A use case in MRI connectomics. GigaScience, 2017.