在学龄前儿童的ASD中,皮层-小脑电路的变化通过多模式MRI
Ting Yi1,2,3, Changquan Ji4, Weian Wei3
1The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510317, China.
Cerebral cortex (New York, N.Y. : 1991)
|April 14, 2024
概括
自闭症谱系障碍 (ASD) 在学龄前儿童中显示出大脑连接的改变. 扩散基谱成像 (DBSI) 模型,特别是DBSI_20,在诊断自闭症方面具有很高的准确性,这表明其临床潜力.
科学领域:
- 神经成像是一种神经成像.
- 发育神经科学的发展神经科学.
- 生物医学工程 生物医学工程
背景情况:
- 自闭症谱系障碍 (ASD) 是一种复杂的神经发育状况,其特点是社会沟通缺陷和受限制的重复行为.
- 大脑连接的改变,特别是涉及皮质-小脑电路,在ASD中越来越多地被识别出来.
- 了解这些神经电路的差异对于开发有效的诊断工具至关重要.
研究的目的:
- 研究患有自闭症谱系障碍 (ASD) 的学龄前儿童皮质-小脑电路的变化.
- 评估多式磁共振成像 (MRI) 技术对ASD的诊断潜力.
- 评估不同扩散基谱成像 (DBSI) 模型在分类ASD中的性能.
主要方法:
- 使用扩散基光谱成像 (DBSI) 方法 (DBSI_20和DBSI_combine) 和3D结构成像.
- 分析了31名患有自闭症儿童和30名健康对照儿童的大脑网络,将大脑细分为120个区域.
- 采用多模式策略,使用多核支向量机进行分类.
主要成果:
- 在皮质 - 大脑和皮质下 - 大脑电路中确定了显著的共识连接,包括乳头和基底.
- 通过各种大脑途径观察到正面和负面共识连接的独特模式.
- DBSI_20实现了最高的分类准确率86.88%;组合模型进一步提高了性能.
结论:
- 多模式大脑连接分析揭示了ASD儿童皮质-小脑电路的显著异常.
- DBSI_20模型表现出高精度和效率,表明其在临床自闭症诊断方面的潜力.
- 这些发现凸显了先进的神经成像技术对于理解和诊断ASD的实用性.
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