Short Introduction to the General Linear Model for Neuroimaging (Oxford Neuroimaging Primer Appendices)

The General Linear Model (GLM) is a powerful tool for modelling and statistical hypothesis testing in neuroimaging.

With its flexibility, it can be used to analyse both within-subject timeseries and between-subject data, as well as remove noise components from the data.

This comprehensive guide provides detailed information on how to use GLM effectively in neuroimaging analyses, making it an essential resource for anyone looking to gain a practical understanding of this technique.