get.resid

A <code>data.table</code> containing all the volumetric measure of
interest (i.e., the object <code>lhrh</code> as ouptut by
<code><a rd-options="" href="/link/brainGraph_init?package=brainGraph&version=2.0.2" data-mini-rdoc="brainGraph::brainGraph_init">brainGraph_init</a></code>)

dt.vol

A <code>data.table</code> of the covariates of interest

covars

Logical should we control for the mean hemispheric brain
value (e.g. mean LH/RH cortical thickness) (default: <code>FALSE</code>)

use.mean

Character vector of covariates to exclude (default:
<code>NULL</code>)

exclude

Arguments passed to <code><a rd-options="" href="/link/brainGraph_GLM_design?package=brainGraph&version=2.0.2" data-mini-rdoc="brainGraph::brainGraph_GLM_design">brainGraph_GLM_design</a></code> (optional)

Runs linear models across brain regions listed in a <code>data.table</code> (e.g.
cortical thickness), adjusting for variables in <code>covars</code> (e.g. age, sex,
etc.). It also calculates the externally Studentized (or
leave-one-out) residuals.

A set of tools for performing graph theory analysis of brain MRI
data. It works with data from a Freesurfer analysis (cortical thickness,
volumes, local gyrification index, surface area), diffusion tensor
tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from
DPABI). It contains a graphical user interface for graph visualization and
data exploration, along with several functions for generating useful
figures.

Christopher G Watson

brainGraph

Graph Theory Analysis of Brain MRI Data

get.resid function

A <code>data.table</code> containing all the volumetric measure of
interest (i.e., the object <code>lhrh</code> as ouptut by
<code><a rd-options='' href='brainGraph_init'>brainGraph_init</a></code>)

Arguments passed to <code><a rd-options='' href='brainGraph_GLM_design'>brainGraph_GLM_design</a></code> (optional)

get.resid: Linear model residuals across brain regions

Description

Usage

Arguments

Value

See Also