Literature DB >> 31621605

Altered brain structural topological properties in Parkinson's disease with levodopa-induced dyskinesias.

Lina Wang1, Min Wang2, Qianqian Si1, Yongsheng Yuan1, Kewei Ma1, Caiting Gan1, Kezhong Zhang3.   

Abstract

OBJECTIVES: In this study, the alterations of structural topological properties in Parkinson's disease (PD) patients with levodopa-induced dyskinesias (LIDs) were explored using white matter structural network connectome derived from diffusion tensor imaging (DTI).
METHODS: 21 dyskinetic PD patients, 21 non-dyskinetic PD patients and 25 healthy controls were studied in global and nodal topological properties of structural networks after controlling age, gender and education. Afterwards, post hoc analyses were performed to explore further differences. Finally, multiple linear regression analysis was employed to test the associations between significant different properties and the severity of dyskinesias in PD.
RESULTS: Dyskinetic PD patients exhibited significant increased global efficiency, local efficiency, clustering coefficient, but decreased shortest path length compared with the non-dyskinetic. Additionally, increased nodal efficiency in bilateral inferior frontal gyrus (IFG), right putamen, right thalamus, and decreased nodal shortest path length in bilateral IFG and right thalamus, were discovered in dyskinetic PD in comparison with non-dyskinetic PD. Notably, a negative correlation between the Abnormal Involuntary Movement Scale (AIMS) scores and shortest path length of whole-brain network was found in PD with LIDs.
CONCLUSIONS: Our results indicated excessively optimized topological organization of whole-brain structural connectome in PD patients with LIDs. These findings also illustrated that excessively strengthened basal ganglia-thalamocortical nodal structural connections played an important role in the presence of LIDs.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Basal ganglia-thalamocortical; Diffusion tensor imaging; Levodopa-induced dyskinesias; Structural network; Topology

Year:  2019        PMID: 31621605     DOI: 10.1016/j.parkreldis.2019.09.022

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  3 in total

1.  White matter connectivity networks predict levodopa-induced dyskinesia in Parkinson's disease.

Authors:  Jin Ho Jung; Yae Ji Kim; Seok Jong Chung; Han Soo Yoo; Yang Hyun Lee; Kyoungwon Baik; Seong Ho Jeong; Young Gun Lee; Hye Sun Lee; Byoung Seok Ye; Young H Sohn; Yong Jeong; Phil Hyu Lee
Journal:  J Neurol       Date:  2021-11-11       Impact factor: 6.682

2.  Exploring Cortical Thickness Alteration in Parkinson Disease Patients with Freezing of Gaits.

Authors:  E Li; Xiuhang Ruan; Yuting Li; Guoqin Zhang; Mengyan Li; Xinhua Wei
Journal:  Neural Plast       Date:  2020-11-27       Impact factor: 3.599

3.  Altered functional connectivity of cerebellar dentate nucleus in peak-dose dyskinesia in Parkinson's disease.

Authors:  Heng Zhang; Lina Wang; Caiting Gan; Xingyue Cao; Min Ji; Huimin Sun; Yongsheng Yuan; Kezhong Zhang
Journal:  Front Aging Neurosci       Date:  2022-08-02       Impact factor: 5.702

  3 in total

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