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样本大小如何影响概率刺激地图在深度大脑刺激中的影响

Teresa Nordin1, Patric Blomstedt2, Simone Hemm1,3

  • 1Department of Biomedical Engineering, Linköping University, 58185 Linköping, Sweden.

Brain sciences
|May 27, 2023
PubMed
概括
此摘要是机器生成的。

深度大脑刺激 (DBS) p-map分析中的小样本大小导致不稳定的结果. 研究人员需要超过120次模拟,以便在基本震研究中获得可靠的概率刺激图.

关键词:
深度大脑刺激 (DBS) 的方法电场模拟电场模拟器有限元素方法 (FEM)概率刺激地图 (PSM) 是一种概率刺激地图.

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科学领域:

  • 神经外科 神经外科
  • 神经学 神经学
  • 医疗成像医学成像

背景情况:

  • 使用voxel-wise统计的概率刺激图 (p-maps) 越来越多地用于可视化深度大脑刺激 (DBS) 效应.
  • 由于多次测试,这些p-maps需要纠正类型-1错误,其可靠性可能会受到样本大小的影响.

研究的目的:

  • 评估样本大小对DBS效应概率刺激图 (p-maps) 的计算和稳定性的影响.
  • 为了确定可靠的p-map生成所需的最小数量的模拟,在基本震患者.

主要方法:

  • 使用了61名用DBS治疗的基本震患者的数据集.
  • 随机抽样与替代 (5至61名患者) 进行,每个样本大小代20次 (共1140张地图).
  • 对于每个样本大小,评估了总的p值,显著量和Dice系数 (DC).

主要成果:

  • 样本大小小于30名患者 (120次模拟) 显示总显著性和中位数显著性体积的变化增加.
  • 趋势稳定在120次以上的模拟,尽管一些集群位置变化仍然存在.
  • 对于n=57,观察到最高的0.73的子系数中位数,表明估计效应体积的良好重叠.

结论:

  • 用小样本大小生成的概率刺激图 (p-maps) 应谨慎解释.
  • 单中心研究可能需要超过120次模拟才能获得稳定可靠的深度大脑刺激 (DBS) p-map结果.
  • 集群位置的变化,特别是高和低改善地区之间的变化,在较小的样本大小中被注意到.