Samantha P. Martin

This study shows that in-scanner head motion increases variability in gray matter volume estimates and alters structural covariance networks, suggesting motion introduces error in neuroanatomical connectivity analyses.

This paper trains a convolutional neural network to estimate head pose changes during structural MRI using eye tracker video, showing correlations with cortical thickness and subcortical volume changes.