在患有过渡性全局失忆症的患者中,默认模式网络的参与:多层网络网络
Dong Ah Lee1, Ho-Joon Lee2, Kang Min Park3
1Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-Ro 875, Haeundae-Gu, Busan, 48108, Republic of Korea.
Neuroradiology
|October 17, 2023
概括
过渡性全球性失忆症 (TGA) 患者表现出大脑网络的改变,特别是在默认模式网络中. 这些多层网络变化可能解释了TGA的潜在原因.
科学领域:
- 神经科学是一个神经科学.
- 网络科学 网络科学
- 医疗成像医学成像
背景情况:
- 过渡性全球性失忆症 (TGA) 是一种神经疾病,其特征是突然的,暂时的记忆丧失.
- 基底的TGA病理生理学仍然不完全理解.
- 调查大脑网络的改变可能会为TGA机制提供洞察力.
研究的目的:
- 为了研究经历过渡性全球性失忆症 (TGA) 患者多层大脑网络的变化.
- 使用先进的神经成像技术,比较TGA患者和健康对照人群之间的网络特性.
主要方法:
- 124名TGA患者和80名健康对照人接受了3特斯拉大脑MRI.
- 使用形态相似性网络 (T1加权成像) 构建灰色物质层矩阵.
- 白物质层矩阵是使用结构连接 (扩散张力成像) 创建的,并用图形理论分析.
主要成果:
- 在TGA患者和对照组之间没有观察到全球网络措施的显著差异.
- 在与默认模式网络相关的区域中,在节点网络措施中发现了显著的差异.
- 具体的变化包括TGA患者多重富,多重富俱乐部程度的增加,以及多重复合参与的加权,以及多重复合核心-外围的变化.
结论:
- 这项研究揭示了TGA患者多层大脑网络的新变化.
- 这些发现强调了默认模式网络在TGA中的参与.
- 这些网络变化可能与暂时全球性失忆症的病理生理学有关.
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