Diffusion tensor imaging-based analysis of topological properties of structural brain network in patients with early-stage Parkinson's disease and depression

Lubin GOU; Wei ZHANG; Dajing GUO; Chuanming LI; Weijia ZHONG; Zhiming ZHOU; Xinlin SHI; Ting CHEN; Dong SUN

doi:10.16016/j.1000-5404.201805139

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Diffusion tensor imaging-based analysis of topological properties of structural brain network in patients with early-stage Parkinson's disease and depression

Clinical Medicine | 更新时间：2026-01-09

- Diffusion tensor imaging-based analysis of topological properties of structural brain network in patients with early-stage Parkinson's disease and depression
- Journal of Third Military Medical University Vol. 40, Issue 22, Pages: 2087-2092(2018)
- 作者机构：
  
  400010 重庆，重庆医科大学附属第二医院放射科
- 作者简介：
- 基金信息：
- DOI：10.16016/j.1000-5404.201805139
  CLC： R319; R742.5; R749.4
- Received：02 April 2018，
  
  Revised：2018-06-05，
  
  Published：30 November 2018
- 稿件说明：
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Lubin GOU, Wei ZHANG, Dajing GUO, et al. Diffusion tensor imaging-based analysis of topological properties of structural brain network in patients with early-stage Parkinson's disease and depression[J]. Journal of Third Military Medical University, 2018, 40(22): 2087-2092.
DOI：

Lubin GOU, Wei ZHANG, Dajing GUO, et al. Diffusion tensor imaging-based analysis of topological properties of structural brain network in patients with early-stage Parkinson's disease and depression[J]. Journal of Third Military Medical University, 2018, 40(22): 2087-2092. DOI： 10.16016/j.1000-5404.201805139.

摘要

目的

探讨早期帕金森病(Parkinson’s disease，PD)伴抑郁患者脑结构网络的拓扑属性变化。

方法

纳入PPMI数据库中84例早期原发性PD患者，其中帕金森病伴抑郁(depression in PD

d-PD)患者28例，帕金森病不伴抑郁(no depression in PD，nd-PD)患者56例，分别进行扩散张量成像(diffusion tensor imaging，DTI)和T

加权(T

WI)结构成像扫描，构建每个患者的FA加权脑结构网络，采用图论方法分析脑结构网络全局的和节点的拓扑属性，对具有统计学意义的全局属性、节点属性与GDS-15评分进行相关性分析。

结果

与nd-PD患者比较，d-PD患者脑结构网络的全局效率和局部效率明显降低，并与GDS-15评分呈负相关(

0.05)；特征路径长度明显增加，与GDS-15评分呈正相关(

0.05)；两组患者均为小世界网络，但两组间小世界属性参数差异具有统计学意义(

0.05)，与GDS-15评分无明显相关性(

0.05)。d-PD患者前额皮质、楔前叶、海马、基底神经节以及小脑部分脑区的节点度明显低于nd-PD患者(

0.05，FDR校正)，除右侧眶部额中回及右侧丘脑外，上述节点的节点度与GDS-15评分呈负相关(

0.05)。

结论

d-PD患者存在脑结构网络拓扑属性的异常，并与抑郁症状严重程度相关；前额皮质、楔前叶、海马、小脑等在d-PD的神经病理机制中具有重要作用。

Abstract

Objective

To assess the alterations in the topological properties of the structural brain network in patients with early-stage Parkinson's disease and depression (d-PD) based on magnetic resonance (MR) diffusion tensor imaging (DTI) findings.

Methods

Eighty-four patients with early-stage PD

including 28 with depression and 56 without depression (nd-PD)

underwent diffusion tensor imaging (DTI) and 3D-T

WI on a 3.0 T MR scanner. The individual structural brain networks were constructed using PANDA. The differences in the topolog

ical properties between d-PD and nd-PD patients and the correlation of these topological properties with GDS-15 scores were explored at both the global and local levels.

Results

The global topological properties of the structural brain network

including global efficiency

local efficiency and characteristic path length

were altered in patients with d-PD as compared with the nd-PD patients

and showed significant correlations with GDS-15 scores (

0.05). The small-worldness also showed significant alterations but did not correlate with GDS-15 scores in d-PD patients (

0.05). The brain regions including the prefrontal cortex

precuneus

hippocampus

basal ganglia and cerebellum all showed significantly decreased node degrees in d-PD patients compared to nd-PD patients (

0.05)

and the node degrees of these structures

with the exception of the right middle frontal gyrus (orbital region) and the thalamus

were all inversely correlated with GDS-15 scores (

0.05).

Conclusion

The structural brain network shows organization disorders in d-PD patients as compared with nd-PD patients

and these abnormalities are correlated with GDS-15 scores; the prefrontal cortex

precuneus

hippocampus and cerebellum play important roles in the pathophysiology of d-PD.

关键词

Keywords

references

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