QDECR

Project

Cite

If QDECR helped your research, please cite the paper that describes it. Here is the reference, its BibTeX, and the methods it builds on.

On this page

The paper

Lamballais S, Muetzel RL. QDECR: A Flexible, Extensible Vertex-Wise Analysis Framework in R. Frontiers in Neuroinformatics. 2021;15:561689. doi:10.3389/fninf.2021.561689

The paper is open access. It describes why QDECR was written, to bring R's modelling, imputed data and samples of thousands to surface-based analysis, and how its modules fit together.

BibTeX
@article{lamballais2021qdecr,
  title   = {{QDECR}: A Flexible, Extensible Vertex-Wise Analysis Framework in {R}},
  author  = {Lamballais, Sander and Muetzel, Ryan L.},
  journal = {Frontiers in Neuroinformatics},
  volume  = {15},
  pages   = {561689},
  year    = {2021},
  doi     = {10.3389/fninf.2021.561689},
}

The version

Name the version you ran in your methods, for example "QDECR 0.9.0 in R". R tells you which one is installed:

R
packageVersion("QDECR")

FreeSurfer and the correction

QDECR fits the models, but the surfaces and the correction for multiple testing are FreeSurfer's. Most journals will expect these too:

  • Fischl B. FreeSurfer. NeuroImage. 2012;62(2):774–781. doi:10.1016/j.neuroimage.2012.01.021FreeSurfer itself, which produces the surfaces and the cluster-wise correction.
  • Hagler DJ, Saygin AP, Sereno MI. Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. NeuroImage. 2006;33(4):1093–1103. doi:10.1016/j.neuroimage.2006.07.036The Monte Carlo simulations behind the cluster-wise correction.
  • Greve DN, Fischl B. False positive rates in surface-based anatomical analysis. NeuroImage. 2018;171:6–14. doi:10.1016/j.neuroimage.2017.12.072How well those simulations control false positives in anatomical data, and at which thresholds.

Publications that cite QDECR

19 papers and preprints cite the QDECR paper so far. The newest:

All 19 publications