CANlab toolbox repositories
The CANlab imaging analysis tools consist of a set of linked Github repositories.
| Repository | Description |
|---|---|
| CanlabCore | Object-oriented fMRI analysis tools, used in other toolboxes |
| CANlab_help_examples | Walkthroughs and batch script system for 2nd-level analysis |
| Neuroimaging_Pattern_Masks | Masks, predictive signature patterns, and meta-analysis maps |
| M3 Multilevel mediation toolbox | Single- and multi-level mediation for any data type, and for brain images |
| CANlab robust regression toolbox | Robust regression for 2nd-level (group) analysis |
| MKDA coordinate-based meta-analysis toolbox | Coordinate-based analysis of neuroimaging data and multivariate tools |
Several of these are needed for interactive data analysis using our object-oriented framework, including CanlabCore, CANlab_help_examples, and Neuroimaging_Pattern_Masks. Other toolboxes are semi-stand-alone but require CanlabCore.
Other CANlab repositories contain code and data for experiments and procedures:
| Repository | Description |
|---|---|
| Paradigms_Public - experimental paradigms | https://github.com/canlab/Paradigms_Public |
| FMRI_simulations - brain movies, effect size/power | https://github.com/canlab/FMRI_simulations |
| CANlab_data_public - Published datasets | https://github.com/canlab/CANlab_data_public |
| DCC - Martin Lindquist’s dynamic correlation toolbox | https://github.com/canlab/Lindquist_Dynamic_Correlation |
| CanlabScripts - in-lab Matlab/python/bash | https://github.com/canlab/CanlabScripts |