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异常的多模式连接模式涉及到默认模式网络和皮网络在肌缩侧面硬化症

Haifeng Chen^1,2,3,4,5, Zheqi Hu^3,4,5,6, Zhihong Ke^3,4,5,7

¹Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.

|May 27, 2023

概括

肌缩侧面硬化症 (ALS) 涉及改变的大脑网络连接. 结构功能连接合显示出作为神经成像生物标志物的潜力,用于早期的ALS诊断和识别.

科学领域:

神经科学是一个神经科学.
神经成像是一种神经成像.
神经学神经学

背景情况:

肌缩侧面硬化症 (ALS) 是一种进展性神经退行性疾病,影响运动功能.
人们越来越认识到ALS是一种多网络疾病,具有异常的大脑连接.
需要进一步阐明ALS大脑连接的完整性和诊断预测价值.

研究的目的:

与健康对照组相比,研究ALS患者的结构和功能大脑连接.
探索ALS中结构和功能连接 (SC-FC合) 之间的关系.
评估SC-FC合作为ALS诊断的神经成像生物标志物的潜力.

主要方法:

招募了37名ALS患者和25名健康对照 (HC).
利用高分辨率的3D T1加权成像和静止状态的功能性MRI来创建多式联网体.
应用基于网络的统计 (NBS),SC-FC合分析和支持矢量机器 (SVM) 进行分类.

主要成果:

患有ALS的患者表现出功能连接性增加,特别是在默认模式网络 (DMN) 和前端对象网络 (FPN) 之间.
观察到边缘网络 (LN) 和DMN,突出/腹部注意网络 (SVAN) 和FPN之间的结构连接增加.
结构连接的减少涉及LN和皮下网络 (SN). 在DMN地区增加的SC-FC合和在LN地区的脱使ALS与HC区别开来.

结论:

默认模式网络 (DMN) 和边缘网络 (LN) 在ALS病理生理学中起着至关重要的作用.
结构功能连接 (SC-FC) 合作为ALS的神经成像生物标志物具有前途.
SC-FC合显示出对早期识别ALS个体的显著临床潜力.

关键词:

在SCFC合器上.骨髓缩侧面硬化症 (ALS) 是一种大脑网络大脑网络基于网络的统计数据.

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