在患有自闭症谱系障碍的患者中,在特定的低频带中,有条纹体的异常动态和静态功能连接性
Junsa Zhu1, Yun Jiao2, Ran Chen1
1Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
Psychiatry research. Neuroimaging
|November 17, 2023
概括
自闭症谱系障碍 (ASD) 在特定频段显示变化的条状动态功能连接 (dFC) 和静态功能连接 (sFC). 这项研究提供了对ASD脑活动的更全面的了解.
科学领域:
- 神经科学是一个神经科学.
- 脑部成像 脑部成像
- 自闭症研究 自闭症研究
背景情况:
- 在自闭症谱系障碍 (ASD) 中始终观察到状功能障碍.
- 关于ASD的条状功能连接 (FC) 之前的研究集中在单个频段内的静态测量上,忽视了动态和频率特定的方面.
- 本研究通过在特定的低频频段 (缓慢-4和缓慢-5) 调查动态FC (dFC) 和静态FC (sFC) 来解决这些局限性.
研究的目的:
- 调查自闭症谱系障碍 (ASD) 中条纹体的动态和静态功能连接 (FC).
- 探索ASD中条状FC变化的频率特异性.
- 确定动态和静态FC测量是否可以有效地对ASD患者进行分类.
主要方法:
- 利用来自自闭症脑成像数据交换 (ABIDE) 数据库的47名自闭症患者和47名典型发展 (TD) 控制者的数据.
- 采用基于种子的方法计算动态功能连接 (dFC) 和静态功能连接 (sFC) 在慢-4 (0.027-0.073 Hz) 和慢-5 (0.01-0.027 Hz) 频段.
- 进行了两个样本的t测试,临床相关性分析,并构建了支持矢量机器 (SVM) 模型用于分类.
主要成果:
- 动态和静态功能连接 (FC) 的显著变化在ASD个体中观察到中额前 (MFG),前骨和中部上额前 (mPFC).
- 在右MFG中减少的条纹性dFC与自闭症症状严重程度相关.
- 一个结合动态-静态FC模型在分类ASD方面取得了高准确性 (95.83%).
结论:
- 在ASD中,Sriatal dFC和sFC发生变化,并表现出频率特异性.
- 调查动态和静态FC都能更全面地了解ASD中大脑活动.
- 动态静态FC模型对ASD的客观分类有希望.
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