get.resid

Data frame of all thickness data. First column must be
subject ID (or something similar)

thicknesses

Data frame of covariates for the linear model. Must share a
subject ID column with <em>thicknesses</em>

covars

This function runs linear models on the columns of the input data frame (e.g.
cortical thickness data for each region), in order to adjust for relevant
variables (e.g. age, sex, group, etc.).

A set of tools for performing graph theory analysis of brain MRI
    data. It is best suited to data from a Freesurfer analysis (cortical
    thickness, volumes, local gyrification index, surface area), but also works
    with e.g., tractography data from FSL. It contains a graphical user
    interface for graph visualization and data exploration.

get.resid: Linear models of columns of a data frame

Description

Usage

Arguments

Value

See Also