确定性与概率学:对白物质束形状的影响
Yuhan Shuai1, Bramsh Qamar Chandio1, Yixue Feng1
1Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
bioRxiv : the preprint server for biology
|September 2, 2025
概括
概率学曲谱显示白质束的形状相似性更高,例如弧形,提高了可复制性. 然而,确定性方法可以更好地检测神经成像研究中的微妙病理变化.
科学领域:
- 神经成像
- 计算神经科学
- 医学图像分析
背景情况:
- 扩散核磁共振扫描使用确定性和概率算法重建白质路径.
- 这些不同的通道图策略对白质束形态的影响尚不清楚.
- 左侧弧形囊 (AF_L) 对于语言处理至关重要,连接理解和生产区域.
研究的目的:
- 为了比较左侧弧形囊 (AF_L) 的确定性与概率学曲谱的形态一致性.
- 对不同数据集的跨学科形状相似性和可重现性进行评估.
- 评估捆形状相似性分析在神经成像研究中的质量控制的有用性.
主要方法:
- 使用捆绑形状相似性分析来比较确定性和概率性路径学结果.
- 在四个独立数据集 (ADNI,HCP-A,NIMHANS和PING) 中分析了左侧弧形囊.
- 基于Atlas的验证用于证实形状相似性的发现.
主要成果:
- 与确定性方法相比,概率曲谱始终显示出AF_L的更高的跨主体形状相似性.
- 概率方法捕获了更广泛的解剖轨迹,从而提高了数据集的可复制性.
- 捆绑形状相似性分析证实了与概率追踪更强的结合,表明其对定量质量控制的价值.
结论:
- 对像AF_L这样的白质束来说,概率学曲谱提供了卓越的形态一致性和可重复性.
- 概率方法的广泛覆盖可能会降低对微妙,临床相关的病理变异的敏感性.
- 在研究和临床环境中,选择通道学方法需要平衡形态一致性和检测神经解剖学变异的需要.
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