基于DTI的早期帕金森病伴抑郁患者脑结构网络拓扑属性分析

苟露斌; 张维; 郭大静; 李传明; 钟维佳; 周治明; 石新琳; 陈婷; 孙冬

doi:10.16016/j.1000-5404.201805139

您当前的位置：

首页 >

文章列表页 >

基于DTI的早期帕金森病伴抑郁患者脑结构网络拓扑属性分析

临床医学 | 更新时间：2026-01-09

- 基于DTI的早期帕金森病伴抑郁患者脑结构网络拓扑属性分析
- Diffusion tensor imaging-based analysis of topological properties of structural brain network in patients with early-stage Parkinson's disease and depression
- 第三军医大学学报 2018年40卷第22期页码：2087-2092
- 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：
  
  [ 张维，电话：(023)63693238，E-mail:zhangwei98220@163.com ZHANG Wei, Tel: 86-23-63693238, E-mail: zhangwei98220@163.com
- 基金信息：
- DOI：10.16016/j.1000-5404.201805139
  中图分类号： R319; R742.5; R749.4
- 收稿：2018-04-02，
  
  修回：2018-06-05，
  
  纸质出版：2018-11-30
- 稿件说明：
移动端阅览
苟露斌, 张维, 郭大静, 等. 基于DTI的早期帕金森病伴抑郁患者脑结构网络拓扑属性分析[J]. 第三军医大学学报, 2018,40(22):2087-2092.

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.
苟露斌, 张维, 郭大静, 等. 基于DTI的早期帕金森病伴抑郁患者脑结构网络拓扑属性分析[J]. 第三军医大学学报, 2018,40(22):2087-2092. DOI： 10.16016/j.1000-5404.201805139.

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

KHAN M A, QUADRI S A, TOHID H. A comprehensive overview of the neuropsychiatry of Parkinson's disease: a review[J]. Bull Menninger Clin, 2017, 81(1): 53-105. DOI: 10.1521/bumc.2017.81.1.53.

VALLI M, MIHAESCU A, STRAFELLA A P. Imaging behavioural complications of Parkinson's disease[J]. Brain Imaging Behav, 2017.[Epub ahead of print]. DOI: 10.1007/s11682-017-9764-1.

WU J Y, ZHANG Y, WU W B, et al . Impaired long contact white matter fibers integrity is related to depression in Parkinson's disease[J ] . CNS Neurosci Ther, 2018, 24(2): 108-114. DOI: 10.1111/cns.12778.

HUANG P, XU X, GU Q, et al . Disrupted white matter integrity in depressed versus non-depressed Parkinson's disease patients: a tract-based spatial statistics study[J ] . J Neurol Sci, 2014, 346(1/2): 145-148. DOI: 10.1016/j.jns.2014.08.011.

CUI Z, ZHONG S, XU P, et al . PANDA: a pipeline toolbox for analyzing brain diffusion images[J ] . Front Hum Neurosci, 2013, 7: 42. DOI: 10.3389/fnhum.2013.00042.

WANG J, WANG X, XIA M, et al . GRETNA: a graph theoretical network analysis toolbox for imaging connectomics[J ] . Front Hum Neurosci, 2015, 9: 458. DOI: 10.3389/fnhum.2015.00458.

BULLMORE E T, BASSETT D S. Brain graphs: graphical models of the human brain connectome[J]. Annu Rev Clin Psychol, 2011, 7(1): 113-140. DOI: 10.1146/annurev-clinpsy- 040510-143934.

IRIMIA A, VAN HORN J D. The structural, connectomic and network covariance of the human brain[J]. Neuroimage, 2013, 66: 489-499. DOI: 10.1016/j.neuroimage.2012.10.066.

RUBINOV M, SPORNS O. Complex network measures of brain connectivity: uses and interpretations[J]. Neuroimage, 2010, 52(3): 1059-1069. DOI: 10.1016/j.neuroimage. 2009.10.003.

QIAN L, ZHANG Y, ZHENG L, et al . Frequency specific brain networks in Parkinson's disease and comorbid depression[J ] . Brain Imaging Behav, 2017, 11(1): 224-239. DOI: 10.1007/s11682-016-9514-9.

SVOB C, WANG Z, WEISSMAN M M, et al . Religious and spiritual importance moderate relation between default mode network connectivity and familial risk for depression[J ] . Neurosci Lett, 2016, 634: 94-97. DOI: 10.1016/j.neulet. 2016.10.009.

LI W, MAI X, LIU C. The default mode network and social understanding of others: what do brain connectivity studies tell us[J]. Front Hum Neurosci, 2014, 8: 74. DOI: 10.3389/fnhum.2014.00074.

WEN X, WU X, LIU J, et al . Abnormal baseline brain activity in non-depressed Parkinson's disease and depressed Parkinson's disease: a resting-state functional magnetic resonance imaging study[J ] . PLoS ONE, 2013, 8(5): e63691.DOI: 10.1371/journal.pone.0063691.

LOU Y, HUANG P, LI D, et al . Altered brain network centrality in depressed Parkinson's disease patients[J ] . Mov Disord, 2015, 30(13): 1777-1784. DOI: 10.1002/mds.26321.

LUO C, CHEN Q, SONG W, et al . Resting-state fMRI study on drug-naive patients with Parkinson's disease and with depression[J ] . J Neurol Neurosurg Psychiatry, 2014, 85(6): 675-683. DOI: 10.1136/jnnp-2013-306237.

LIANG P, DESHPANDE G, ZHAO S, et al . Altered directional connectivity between emotion network and motor networkin Parkinson's disease with depression[J ] . Medicine (Baltimore), 2016, 95(30): e4222. DOI: 10.1097/ MD.0000000000004222.

ZHU Y, SONG X, XU M, et al . Impaired interhemispheric synchrony in Parkinson's disease with depression[J ] . Sci Rep, 2016, 6: 27477. DOI: 10.1038/srep27477.

SHENG K, FANG W, SU M, et al . Altered spontaneous brain activity in patients with Parkinson's disease accompanied by depressive symptoms, as revealed by regional homogeneity and functional connectivity in the prefrontal-limbic system[J ] . PLoS ONE, 2014, 9(1): e84705. DOI: 10.1371/journal.pone.0084705.

LUO C, SONG W, CHEN Q, et al . Cortical thinning in drug-naive Parkinson's disease patients with depression[J ] . J Neurol, 2016, 263(10): 2114-2119. DOI: 10.1007/s00415-016-8241-x.

ZANIGNI S, SAMBATI L, EVANGELISTI S, et al . Precuneal thickness and depression in Parkinson disease[J ] . Neurodegener Dis, 2017, 17(2/3): 97-102. DOI: 10.1159/000450614.

VAN MIERLO T J, CHUNG C, FONCKE E M, et al . Depressive symptoms in Parkinson's disease are related to decreased hippocampus and amygdala volume[J ] . Mov Disord, 2015, 30(2): 245-252. DOI: 10.1002/mds.26112.

CHAGAS M H N, TUMAS V, PENA-PEREIRA M A, et al . Neuroimaging of major depression in Parkinson's disease: cortical thickness, cortical and subcortical volume, and spectroscopy findings[J ] . J Psychiatr Res, 2017, 90: 40-45. DOI: 10.1016/j.jpsychires.2017.02.010.

SHAKIBA A. The role of the cerebellum in neurobiology of psychiatric disorders[J]. Neurol Clin, 2014, 32(4): 1105-1115. DOI: 10.1016/j.ncl.2014.07.008.

TEDESCO A M, CHIRICOZZI F R, CLAUSI S, et al . The cerebellar cognitive profile[J ] . Brain, 2011, 134(Pt 12): 3672-3686. DOI: 10.1093/brain/awr266.

SCHMAHMANN J D. The role of the cerebellum in cognition and emotion: personal reflections since 1982 on the dysmetria of thought hypothesis, and its historical evolution from theory to therapy[J]. Neuropsychol Rev, 2010, 20(3): 236-260. DOI: 10.1007/s11065-010-9142-x.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

正念注意觉知在抑郁合并失眠患者知觉压力与抑郁情绪间的中介作用

SOCS3通过抑制NF-κB信号通路介导的小胶质细胞炎症反应改善帕金森病神经损伤

帕金森病不同表型冻结步态的运动功能与心理因素的差异性研究

帕金森病患者脉络丛体积改变与认知功能的相关性研究

帕金森病患者发生比萨综合征的影响因素研究