A decisional space for fMRI pattern separation using the principal component analysis-A comparative study of language networks in pediatric epilepsy
Human Brain Mapping, 04/12/2012
You X et al. – The automated and data–driven principal component analysis (PCA) decisional space segregates language–related activation patterns in excellent agreement with current clinical rating and region of interest (ROI)–based methods.



