General Linear Model
General Linear Model
yij = gi1b1j + gi2b2j + …. + giKbKj + eij
y = voxel value; ith scan, jth voxel (e.g. rCBF)
g = explanatory variables
- covariates (familiar multivariate regression model)
- dummy condition or level indicators taking on integer
values
b = relative weight (contribution) of explanatory variable
e = error term (independent and identically normally
distributed)