Introduction to fMRI statistics: From Hypotheses to 'General' Linear Model

Datum konání: 25.03.2011
Přednášející: Martina Pavlicova, Assistant Professor of Clinical of Biostatistics, Columbia University, New York, USA
Odpovědná osoba: Šorel

The purpose of this talk is to introduce basic statistical issues arising when collecting and analyzing functional magnetic resonance imaging (fMRI) data. After simplistic explanation of what fMRI data represent, a simple fMRI experiment is described and essential quantification problem is introduced. The General Linear Model (GLM), hypothesis testing and p-values are discussed with respect to functional MRI data framework. Discussion about characteristics of parameters estimates, contrasts and Type I and Type II errors concludes the talk.