Description Usage Arguments Details Value Author(s) Examples
Performs ICV (intracranial volume) normalisation on a data frame of imported subjects in data.
1 2 |
data |
The subject data to normalise |
normalisationFunction |
The normalisation function to use, see details for further information. |
fieldType |
The field set to normalise, see details for further information. |
trainData |
Data to train on, required for 'hconly' normalisation methods |
testData |
Unseen data, required for 'hconly' normalisation methods |
Performs ICV (intracranial volume) normalisation on a data frame of imported subjects in data. The normalisationFunction specifies which normalisation method to use:
normalisation.proportional = proportional ICV normalisation, the volumes of each subject are divided by their ICV
normalisation.residual = residual ICV normalisation, a linear regression model is built for each volume using the ICV as a predictor
normalisation.residualgender = residual ICV normalisation with a gender split, similar to residual ICV normalisation, except a separate linear regression model is built for Males and Females
normalisation.residualhconly = residual ICV normalisation creating a regression model based on healthy control patients only
The fieldType can be:
corticalvolumes = Normalise cortical volumes by ICV
subcortical = Normalise subcortical volumes by ICV
hippocampal = Normalise hippocampal volumes by ICV
corticalareas = Normalise cortical areas by ICV
corticalthicknesses = Normalise cortical thicknesses by ICV
corticalthicknessstds = Normalise cortical thicknesses standard deviations by ICV
corticalareastsa = Normalise cortical areas by total surface area
corticalthicknessesmct = Normalise cortical thicknesses by mean cortical thickness
The normalised data
Alexander Luke Spedding, alexspedding271@gmail.com
1 2 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.