Effects of PRRT2 mutation on brain gray matter networks in paroxysmal kinesigenic dyskinesia

Author:

Li Xiuli12,Lei Du123,Qin Kun12,Li Lei12,Zhang Yingying4,Zhou Dong4,Kemp Graham J5,Gong Qiyong126

Affiliation:

1. Department of Radiology , Huaxi MR Research Center (HMRRC), , No. 37 Guoxue Lane, Wuhou District, Chengdu, 610041 , China

2. West China Hospital of Sichuan University , Huaxi MR Research Center (HMRRC), , No. 37 Guoxue Lane, Wuhou District, Chengdu, 610041 , China

3. Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati , 260 Stetson St., Suite 3326, Cincinnati, Ohio, 45219 , United States

4. Department of Neurology, West China Hospital of Sichuan University , No. 37 Guoxue Lane, Wuhou District, Chengdu, 610041 , China

5. Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool , L69 3BX, Liverpool, L3 5TR , United Kingdom

6. Research Unit of Psychoradiology, Chinese Academy of Medical Sciences , No. 37 Guoxue Lane, Wuhou District, Chengdu, 610041 , China

Abstract

Abstract Although proline-rich transmembrane protein 2 is the primary causative gene of paroxysmal kinesigenic dyskinesia, its effects on the brain structure of paroxysmal kinesigenic dyskinesia patients are not yet clear. Here, we explored the influence of proline-rich transmembrane protein 2 mutations on similarity-based gray matter morphological networks in individuals with paroxysmal kinesigenic dyskinesia. A total of 51 paroxysmal kinesigenic dyskinesia patients possessing proline-rich transmembrane protein 2 mutations, 55 paroxysmal kinesigenic dyskinesia patients possessing proline-rich transmembrane protein 2 non-mutation, and 80 healthy controls participated in the study. We analyzed the structural connectome characteristics across groups by graph theory approaches. Relative to paroxysmal kinesigenic dyskinesia patients possessing proline-rich transmembrane protein 2 non-mutation and healthy controls, paroxysmal kinesigenic dyskinesia patients possessing proline-rich transmembrane protein 2 mutations exhibited a notable increase in characteristic path length and a reduction in both global and local efficiency. Relative to healthy controls, both patient groups showed reduced nodal metrics in right postcentral gyrus, right angular, and bilateral thalamus; Relative to healthy controls and paroxysmal kinesigenic dyskinesia patients possessing proline-rich transmembrane protein 2 non-mutation, paroxysmal kinesigenic dyskinesia patients possessing proline-rich transmembrane protein 2 mutations showed almost all reduced nodal centralities and structural connections in cortico-basal ganglia-thalamo-cortical circuit including bilateral supplementary motor area, bilateral pallidum, and right caudate nucleus. Finally, we used support vector machine by gray matter network matrices to classify paroxysmal kinesigenic dyskinesia patients possessing proline-rich transmembrane protein 2 mutations and paroxysmal kinesigenic dyskinesia patients possessing proline-rich transmembrane protein 2 non-mutation, achieving an accuracy of 73%. These results show that proline-rich transmembrane protein 2 related gray matter network deficits may contribute to paroxysmal kinesigenic dyskinesia, offering new insights into its pathophysiological mechanisms.

Funder

National Key Research and Development Program

National Natural Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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