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

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.

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