1. IntroductionLabeled cortical depth maps (LCDMs) provide a way to determine the volume and thickness of cortical structures from MRI brain scans. LCDMs have been used to distinguish cortical thickness in the cingulate in Alzheimer's disease and schizophrenia and in the prefrontal cortex in schizophrenia as well as in the whole brain. LCDM is based on both the defined surface at the gray-white matter interface and the segmentation of the MRI region of interest into three distinct tissue classes: cerebrospinal fluid (CSF), gray matter (GM), and white matter (WM). With the emergence of automated surface parcellation, it is appropriate to automate the generation and statistical analysis of LCDMs. Previously, volume segmentation was laborious and potentially unrepeatable. In this work, we develop a method to fully automate LCDM calculations and demonstrate validation for the region of interest (ROI) of the cingulate gyrus in normally aging and demented subjects compared to previously published results.2. MethodMiller et al [] developed the LCDM approach to quantify marrow thickness and volume...