CCEP: Cortico-cortical Evoked Potentials.
SPES: Single Pulse Electrical Stimulation.
This software is designed to help epilepsy researchers and clinicians working with Stereoelectroencephalography (SEEG) patient data better to organise and view the results of SPES and CCEP studies.
This program is for clinical research purposes only, and no clinical decisions should be made based on its results.
Author: David Prime PhD, Mater Hospital Brisbane.
License: GPL v3. Copyright 2020 QIMR Berghofer Medical Research Institute.
This research is financially supported by the Queensland Government, as part of an Advance Queensland Innovation Partnership.
- Validate planned stimulation parameters against recommended safety constraints.
- Localize electrodes: co-register CT and MRI images, or pre- and post- implantation MRI; visualize electrode locations.
- View SEEG recordings, re-reference montage, filter and annotate.
- Acquire stimulus pulse times automatically from a trigger channel, or define manually.
- Compute Root-mean-square (RMS) power analysis.
- Compute CCEP connectivity analysis and output a connectivity spreadsheet report.
- View Event-related potentials (ERPs) of selected channels.
For use on computers without MATLAB installed, download the free MATLAB runtime from: https://www.mathworks.com/products/compiler/mcr/index.html
Full user documentation is provided in the file "CCEP Toolbox user manual.docx".
Prime, Woolfe, Rowlands, O’Keefe, and Dionisio. Comparing Connectivity Metrics in Cortico-Cortical Evoked Potentials Using Synthetic Cortical Response Patterns. Journal of Neuroscience Methods 334 (2020): 108559. https://doi.org/10.1016/j.jneumeth.2019.108559
Prime, David L. Evaluating, Improving and Applying Cortico-Cortical Evoked Potentials in Stereoelectroencephalography PhD Thesis, Griffith University, 2019. https://research-repository.griffith.edu.au/handle/10072/391058
Prime, Rowlands, O’Keefe, and Dionisio. Considerations in Performing and Analyzing the Responses of Cortico-Cortical Evoked Potentials in Stereo-EEG. Epilepsia 59, no. 1 (January 2018): 16–26. https://doi.org/10.1111/epi.13939