General Linear Model
Alfonso Nieto-Castañón
Abstract
Second-level analyses allow researchers to make inferences about properties of groups or populations, by generalizing from the observations of only a subset of subjects in a study. This chapter describes the mathematics behind the General Linear Model (GLM), the approach used in CONN for all second-level analyses of functional connectivity measures. The description includes GLM model definition, parameter estimation, and hypothesis testing framework, as well as several practical examples and general guidelines aimed at helping researchers use this method to answer their specific research questions.
Topics & Concepts
Generalized linear modelGeneral linear modelLinear modelGeneralized linear mixed modelMathematicsComputer scienceEconometricsApplied mathematicsStatisticsComplex Network Analysis TechniquesMental Health Research TopicsFunctional Brain Connectivity Studies