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在叶中进行结构性脑网络分析.

Dong Ah Lee1, Ho-Joon Lee2, Kang Min Park3

  • 1Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.

BMC neurology
|July 15, 2023
PubMed
概括

在叶中,结构性大脑网络分析显示,与健康个体相比,全球和本地网络存在显著差异. 这些网络变化与的持续时间相关.

科学领域:

  • 神经科学是一个神经科学.
  • 医疗成像医学成像
  • 网络科学 网络科学

背景情况:

  • 尾叶 (OLE) 是一种影响视觉处理和认知功能的神经疾病.
  • 了解OLE中潜在的结构性大脑网络变化对于诊断和治疗至关重要.

研究的目的:

  • 分析OLE患者的结构性大脑网络.
  • 为了比较OLE患者和健康对照者之间的结构性大脑网络特性.

主要方法:

  • 用3.0TMRI扫描仪对23名OLE患者和42名健康对照进行了扩散张力成像 (DTI).
  • 全球和地方结构网络的测量用DSI Studio程序进行了计算.
  • 在OLE和对照组之间进行了统计比较.

主要成果:

  • 患有OLE的患者表现出明显改变的全球结构网络措施,包括较低的分类性,平均集群系数,全球效率和小世界性指数.
  • 在OLE患者中,特征性路径长度显著更高.
  • 在叶之外,观察到局部结构网络的显著差异.
  • 选择性系数与持续时间呈负相关性 (r=-0.676,p=0.001).

结论:

关键词:
扩散张力成像的成像方法是一种病.在尾叶后,尾叶.

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  • 在OLE患者中,结构性大脑网络的破坏是显而易见的.
  • 这些网络变化超出了叶,与疾病持续时间有关.
  • 研究结果表明,基于DTI的网络分析可以提供有关OLE病理生理学的见解.