Comparison of statistical parameters of fMRI images of brain for the purpose of analysis of emotions

Functional magnetic resonance imaging (fMRI) is widely used to identify neural correlates of cognitive tasks. Basic statistical parameters are considered to analyze fMRI images of human brain of emotional and normal state of mind. These basic statistical parameters are mean, standard deviation, variance, kurtosis, skewness etc. We are calculating these parameters, and along with that we are making various combinations of these parameters like mean and skewness, mean and kurtosis etc. SPM8 is also used as a software tool to analyze the fMRI images. Analysis is done on the reference database. We are using Wavelet and PCA based proposed method for classification of two states by deciding threshold value.