Resting State Connectivity of Anterior and Posterior Cingulate Corteces Using Potts Spin Model
Murua A, Cordes D, Stanberry L
University of Montreal
In this paper we use a clustering method based on the Potts spin model to determine functional networks specific to the anterior cingulate cortex (ACC) and posterior cingulate cortex (PCC) in a group of nine healthy adult males. The Potts spin model provides a powerful tool to automatically identify functional networks under various conditions and requires no assumption of the number of clusters or their underlying distribution. Resulting networks reflect functional connections to the brain regions implicated in the default mode hypothesis including parahippocampal, fusiform, precentral and frontal gyri. We also compared spectral properties of the ACC and PCC.