Meeting Banner
Abstract #1478

Topologically Convergent and Divergent Morphological Grey Matter Networks in Parkinson’s Disease with and without Mild Cognitive Impairment 

Xueling Suo1,2, Du Lei1,2,3, Wenbin Li1,2,3, Jing Yang1,2, Nannan Li4, Lan Cheng4, Rong Peng4, and Qiyong Gong1,2
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China, 3Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States, 4Department of Neurology, West China Hospital of Sichuan University, Chengdu, China

To use graph theory approaches and high resolution T1-weighted structural MRI to explore the brain grey matter (GM) morphological network in patients with Parkinson's disease (PD) with and without mild cognitive impairment (MCI). The individual morphological brain networks were constructed by estimating interregional similarity in the distribution of regional GM volume of 116 brain regions. The lower path length were found in both patients relative to healthy controls. Altered morphological connection primarily in default mode network were common deficits, while different connectivity characteristic in widespread regions involving temporal and subcortical regions, and cerebellum were observed between the patient groups.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here