A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex
Neurons and Cognition2017-03-06v1Computational Engineering, Finance, and ScienceComputer Vision and Pattern RecognitionQuantitative MethodsApplications
One of the primary objectives of human brain mapping is the division of the cortical surface into functionally distinct regions, i.e. parcellation. While it is generally agreed that at macro-scale different regions of the cortex have different functions, the exact number and configuration of these regions is not known. Methods for the discovery of these regions are thus important, particularly as the volume of available information grows. Towards this end, we present a parcellation method based on a Bayesian non-parametric mixture model of cortical connectivity.
@article{arxiv.1703.00981,
title = {A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex},
author = {Daniel Moyer and Boris A Gutman and Neda Jahanshad and Paul M. Thompson},
journal= {arXiv preprint arXiv:1703.00981},
year = {2017}
}
Comments
In the Proceedings of Information Processing in Medical Imaging 2017