休息状态网络及其与PD患者MoCA表现的关系
Victor Galvez1, César Romero-Rebollar2,3, M Anayali Estudillo-Guerra4
1Laboratorio de Neurociencias Cognitivas y Desarrollo, Escuela de Psicología, Universidad Panamericana, Ciudad de México, México. vgalvez@up.edu.mx.
Brain imaging and behavior
|February 9, 2024
概括
帕金森病 (PD) 中的轻度认知障碍显示出明显的脑网络变化. 休息状态网络连接在有或没有认知障碍的PD患者之间有所不同,这表明一种独特的神经退行性模式.
科学领域:
- 神经科学是一个神经科学.
- 神经学 神经学
- 认知科学 认知科学
背景情况:
- 轻度认知障碍 (MCI) 是帕金森病 (PD) 的一个常见的非运动症状.
- 与PD中MCI发作相关的静止状态网络 (RSN) 改变尚未得到充分理解.
- 了解这些变化对于诊断和管理PD认知衰退至关重要.
研究的目的:
- 为了研究患有PD的个体的RSN变化.
- 确定RSN变化与PD认知表现之间的关联.
- 在PD中区分认知障碍的神经生物学模式.
主要方法:
- 功能磁共振成像 (fMRI) 用于分析RSN.
- 研究了3组:PD患者的认知正常 (NC),PD患者的MCI,和健康的对照 (HC).
- 在默认模式网络 (DMN),突出网络 (SN) 和中央执行网络 (CEN) 中使用Z-score系数来评估连接性.
主要成果:
- 在PD患者中,无论认知状态如何,DMN和SN连接性都降低了.
- 在NC的PD中,DMN节点与全球认知负相关,而SN节点与全球认知正相关.
- 这种反向关系在PD与MCI中不存在. 执行功能与CEN连接相关,语言功能与MCI的PD中SN连接相关.
结论:
- 在PD的认知障碍与明显的RSN改变有关.
- 患有MCI的PD和NC的PD之间的RSN差异表明了差异化的神经退行模式.
- 这些发现突显了RSN作为帕金森病认知状态生物标志物的潜力.
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