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在帕金森病中对功能连接的拓分析

Weiwei Zhang¹, Shengxiang Xia¹, Xinhua Tang²

¹School of Science, Shandong Jianzhu University, Jinan, China.

Frontiers in neuroscience

|September 8, 2023

概括

对静止状态功能性MRI数据的拓分析揭示了帕金森病 (PD) 中大脑功能连接神经回路的改变. 这些发现可能有助于诊断PD的临床差异诊断.

科学领域:

神经科学是一个神经科学.
医疗成像医学成像
计算拓学的计算拓学

背景情况:

帕金森病 (PD) 是一种复杂的神经疾病,影响运动和非运动功能.
休息状态功能磁共振成像 (rsfMRI) 用于探索大脑的功能连接.
了解功能连接神经回路 (FCNC) 的变化对于PD研究至关重要.

研究的目的:

通过拓数据分析,与正常对照组相比,研究帕金森病患者的FCNC变化.
评估基于rsfMRI的拓分析作为PD差异诊断工具的潜力.

主要方法:

分析了54名PD患者和31名正常对照 (NC) 的rsfMRI数据.
从功能连接数据构建了Vietoris-Rips (VR) 综合体.
拓特征,特别是零维贝蒂数 (连接的分支),被计算和统计分析 (曼-惠特尼U测试,FDR校正).

主要成果:

在VR综合体中,与NC组相比,PD组的连接分支机构的平均数量在值 (δ) ≤0.7.7时显著高于NC组.
在特定的大脑区域观察到FCNC的显著差异,包括Cuneus_R,Lingual_R,Fusiform_R,Heschl_R,Frontal_Inf_Orb_R和Pallidum_R,在不同的值 (0.7-0.9).
中长度FCNC在Neurocon和帕金森进展标记计划 (PPMI) 数据集中显示了PD和NC组之间的显著统计差异.

结论:

对rsfMRI数据的拓分析有效地捕捉了帕金森病中FCNC的变化.
确定的大脑功能连接的拓变化可能成为PD的潜在生物标志物.
这种方法为帕金森病的临床差异诊断提供了一个有希望的替代方案.

关键词:

帕金森病是帕金森氏症的一种疾病.复杂的VR复杂的VR.功能连接神经电路的神经电路.持久的同质性持续的同质性静止状态的fMRI进行.

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