LQT is an R implementation of the lesion quantification toolkit, based on the paper “Lesion Quantification Toolkit: A MATLAB software tool for estimating grey matter damage and white matter disconnections in patients with focal brain lesions” by Griffis et al. The LQT is a publicly available software package for quantifying the structural impacts of focal brain lesions. It uses atlas-based approaches to estimate parcel-level grey matter lesion loads and multiple measures of white matter disconnection severity that include tract-level disconnection measures, voxel-wise disconnection maps, and parcel-wise disconnection matrices. The toolkit also estimates lesion-induced increases in the lengths of the shortest structural paths between parcel pairs, which provide information about changes in higher-order structural network topology.
The R package creates data structures necessary for applying the methods directly to MNI-registered lesion maps from either a single patient or a full study. The package then allows the user to create figures for visualization and summary, and to compile analysis-ready datasets for research.
- Posted on:
- May 1, 2020
- 1 minute read, 161 words
- See Also: