Curry 7 – Signal Processing & Basic Source Analysis

Moving dipole analysis in Curry

The Signal Processing and Basic Source Analysis package of Curry 7 offers quite a number of additional useful features compared to the Curry 7 Signal Processing package. One of those features is non-parametric statistical analysis.

Non-parametric statistical analysis is becoming more common in single trial EEG and ERP analysis. The advantage of non-parametric statistics is that it does not depend on assumptions as parametric tests, and still the results can be as powerful as parametric tests when the assumptions are met.

In Curry 7, non-parametric statistics using topographical ANOVA randomization methods is available for both individual subjects as well as for group studies. Whether you are interested in seeing a statistical effect for a group of subjects or want to test if a certain ERP component is significant in a single subject, CURRY 7 displays these results in a comprehensive way. The statistical results can be exported immediately for further processing or publication.

In addition to the statistical analysis, this special version of Curry 7 features:

Signal Processing (re-referencing, baseline correction, filtering, artifact detection and rejection, noise estimation, and selective averaging)
Template Matching and Threshold based Event Detection
Component Analysis (PCA/ICA)
Frequency domain analyses (FFT, Short Time FFT, Wavelets)
Sensor Coherence
Dipole Fits (single, multiple, constrained)
Pre-computed realistic head models (BEM, FEM)
Average MRI data
Tailarach coordinates
Functional Brain Atlas (Brodmann areas)
Macros / batch processing
Interface with Matlab