Morphometricity: A Tool to Measure the Neuroanatomical Signature of a Trait
This page has been last updated on June 24, 2016 and is under heavy construction. The main objective here is to host a Matlab© implementation that computes point estimates of morphometricity, standard errors, and p-values.
Details of morphometricity can be found in this manuscript, which is currently under review at PNAS. In brief, morphometricity is defined as the proportion of phenotypic variation that can be
explained by macroscopic brain morphology. We estimate morphometricity via a linear mixed effects model that utilizes an anatomical similarity matrix computed based on measurements derived from structural brain Magnetic Resonance Imaging (MRI) scans.
To download the Matlab function, click here.