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多模态形态相似性网络自闭症谱系障碍的分析

Antonio Del Casale¹, Darvin Shehu², Maria Camilla Rossi-Espagnet³

¹Department of Dynamic and Clinical Psychology and Health Studies, Faculty of Medicine and Psychology, Sapienza University of Rome, 00189 Rome, Italy.

|March 28, 2025

概括

自闭症谱系障碍 (ASD) 与大脑网络组织的改变有关. 这项研究发现,与健康对照人群相比,ASD患者的全球和区域大脑连接有差异.

科学领域:

神经科学是一个神经科学.
发育神经科学的发展神经科学.
计算神经科学是一种神经科学.

背景情况:

自闭症谱系障碍 (ASD) 是一种影响社会互动,沟通和行为的神经发育状况.
神经成像揭示了与神经类型受试者相比,ASD个体的结构和功能大脑差异.
了解这些神经变化对于开发有针对性的干预措施至关重要.

研究的目的:

调查自闭症谱系障碍 (ASD) 中的大脑网络结构连接.
利用形态相似网络 (MSN) 分析来评估大脑组织.
旨在识别与ASD相关的特定网络变化.

主要方法:

分析了自闭症脑成像数据交换 (ABIDE) 数据集中的数据.
包括597名自闭症患者和644名健康对照 (HC).
通过皮质形态特征和评估的全球/区域网络指数评估结构连接性.

主要成果:

与HC相比,ASD患者的全球网络密度较低,负分类系数较高.
在ASD中观察到双边上上额叶皮层的程度和强度降低.
在ASD中,在额头和轨道区域中发现了改变的正和负聚类系数.

结论:

在ASD中,全球和区域大脑网络组织存在显著的变化.
这些结构性连接性变化可能是ASD认知和行为症状的基础.
对病理生理机制的进一步研究可以为ASD提供个性化的治疗策略.

关键词:

自闭症是一种自闭症障碍.形态学相似性网络分析分析神经成像是一种神经成像.神经元可塑性神经元可塑性前额叶皮层前额叶皮层.

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