activations.classical: Identification of areas of activation in a General Linear...

In BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies

Identification of areas of activation in a General Linear Model using classical methods

Description

Identification of areas of activation in a General Linear Model using classical methods

Usage

activations.classical(
  x,
  gamma = 0,
  alpha = 0.05,
  correction = c("FWER", "FDR", "none"),
  fields,
  session,
  mesh = NULL
)

Arguments

x	A BayesGLM object
gamma, alpha, correction, fields, session	See activations.
mesh	(Optional) An "inla.mesh" object (see make_mesh for surface data). Only necessary for computing surface areas of identified activations.

Value

A matrix corresponding to the 0-1 activation status for the model coefficients.

BayesfMRI documentation built on April 4, 2025, 1:58 a.m.