中国神经再生研究(英文版) ›› 2015, Vol. 10 ›› Issue (12): 2025-2032.doi: 10.4103/1673-5374.172322

• 原著:退行性病与再生 • 上一篇    下一篇

评价帕金森病患者脑功能和微结构改变的新方法

  

  • 收稿日期:2015-11-24 出版日期:2015-12-30 发布日期:2015-12-30

A novel method for evaluating brain function and microstructural changes in Parkinson’s disease

Ming-fang Jiang1, Feng Shi2, Guang-ming Niu3, Sheng-hui Xie3, Sheng-yuan Yu1, *   

  1. 1 Department of Neurology, General Hospital of PLA, Beijing, China
    2 Department of Radiology, Inner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine, Hohhot, Inner Mongolia Autonomous Region, China
    3 Department of Radiology, the Affiliated Hospital of Inner Mongolia University, Hohhot, Inner Mongolia Autonomous Region, China
  • Received:2015-11-24 Online:2015-12-30 Published:2015-12-30
  • Contact: Sheng-yuan Yu, Ph.D.,yusy1963@126.com.

摘要:

我们采用磁共振弥散张量成像及基于纤维束示踪的空间统计分析技术研究帕金森病患者脑微结构的损害,发现帕金森病患者黑质和壳核有神经元的损害,而且随着病程进展,黑质神经元损害呈现逐渐加重的趋势,客观证实了黑质和基底核是帕金森病主要的变性部位,同时发现壳核、尾状核及额叶白质神经元的损害与抑郁之间呈正相关。基于纤维束示踪的空间统计分析发现包括胼胝体、上纵束、扣带束和视辐射的多条白质纤维束出现微结构的损害,而且这种损害与认知功能障碍和抑郁之间均具有相关性。结果使我们有理由相信,应用磁共振弥散张量成像及基于纤维束示踪的空间统计分析技术可以用于研究帕金森病者脑功能和微结构改变,有助于揭示帕金森病的认知功能和抑郁发生的组织学变化机制。

关键词: 神经再生, 帕金森病, 认知功能障碍, 抑郁, 功能磁共振, 磁共振弥散张量成像, 基于纤维束示踪的空间统计分析, 黑质, 基底核, 脑微结构

Abstract:

In this study, microstructural brain damage in Parkinson’s disease patients was examined using diffusion tensor imaging and tract-based spatial statistics. The analyses revealed the presence of neuronal damage in the substantia nigra and putamen in the Parkinson’s disease patients. Moreover, disease symptoms worsened with increasing damage to the substantia nigra, confirming that the substantia nigra and basal ganglia are the main structures affected in Parkinson’s disease. We also found that microstructural damage to the putamen, caudate nucleus and frontal lobe positively correlated with depression. Based on the tract-based spatial statistics, various white matter tracts appeared to have microstructural damage, and this correlated with cognitive disorder and depression. Taken together, our results suggest that diffusion tensor imaging and tract-based spatial statistics can be used to effectively study brain function and microstructural changes in patients with Parkinson’s disease. Our novel findings should contribute to our understanding of the histopathological basis of cognitive dysfunction and depression in Parkinson’s disease.

Key words: nerve regeneration, Parkinson’s disease, cognitive dysfunction, depression, functional magnetic resonance imaging, diffusion tensor imaging, tract-based spatial statistical analysis, basal ganglia, substantia nigra, neural regeneration