Presented at OHBM2017

Altmetric score 5 (top 19.8%)

Author: Daniel Moyer
Research area: qbionc

Open peer-review

Review content is open, signing review is optional.

A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex.

Created on 6th March 2017

Daniel Moyer ; Neda Jahanshad; Boris A Gutman; Paul M. Thompson

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.

Show more

Review Summary

This paper has 0 completed reviews and 0 reviews in progress.

# Status Date