About ERP_CC Toolbox
This toolbox provides an opportunity to process spatio-temporal ERP data using cluster analysis methodology.
A consensus clustering and new time-window determination mechanisms have been developed for measuring best suitable time-window for measuring ERPs of interest.
Additionally, a repeated ANOVA measurement has been designed for fast statistical analysis from measured mean latency amplitude of detected ERPs of interest.
if you found this work useful please kindely cite this paper (related paper):
Determination of the Time Window of Event-Related Potential Using Multiple-Set Consensus Clustering
Mahini Reza, Li Yansong, Ding Weiyan, Fu Rao, Ristaniemi Tapani, Nandi Asoke K., Chen Guoliang, Cong Fengyu
JOURNAL=Frontiers in Neuroscience, VOLUME=14, YEAR=2020, PAGES=1047, URL=https://www.frontiersin.org/article/10.3389/fnins.2020.521595
DOI=10.3389/fnins.2020.521595
Please cite this toolbox as:
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Poulsen, A. T., Pedroni, A., Langer, N., & Hansen, L. K. (2018). Microstate EEGlab toolbox: An introductionary guide. bioRxiv.
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Andreas Trier Poulsen, atpo@dtu.dk Technical University of Denmark, Cognitive systems - February 2017
Inputs: Information about the ERP data such as: number of groups, Number of Stimuli, number of subjects, number of components, number of time samples, start time (ms) , End time (ms), and more important experimental measurement time-window.
Outputs: Time-windows for conditions/groups, Topographical maps and waveform plots, Statistical power analysis results.
Updated in Mar 2021