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通过使用GNN-LSTM的动态功能连接来诊断自闭症谱系障碍 (ASD)

Jun Tang¹, Jie Chen¹, Miaojun Hu²

¹School of Educational Sciences, Hunan Normal University, Changsha 410081, China.

Sensors (Basel, Switzerland)

|January 11, 2025

概括

一个新的GNN-LSTM模型通过分析动态大脑连接来增强早期自闭症谱系障碍 (ASD) 检测. 这种方法为计算机辅助的ASD诊断提供了更高的准确性.

科学领域:

神经科学是一个神经科学.
人工智能的人工智能
医疗成像医学成像

背景情况:

由于其复杂性和高诊断成本,早期发现自闭症谱系障碍 (ASD) 是至关重要的.
静态功能连接研究在ASD检测方面表现有前途,但可能会错过动态大脑网络变异.
动态功能连接分析提供了对大脑网络特征的更全面的了解.

研究的目的:

开发一种先进的模型,以提高ASD的计算机辅助诊断.
通过结合时间动态来克服静态功能连接分析的局限性.
增强对ASD中大脑网络变异性的理解.

主要方法:

提出了一个创新的GNN-LSTM模型,集成图形神经网络 (GNNs) 和长短期记忆 (LSTM).
GNNs从fMRI数据中捕获空间特征;LSTM从动态功能连接中汇总时间信息.
引入了一个动态图集结方法和一个跳跃连接机制,用于强大的时空特征提取.

主要成果:

在ABIDE I数据集上达到80.4%,在ABIDE II数据集上达到79.63%.
该GNN-LSTM模型在ASD检测方面表现出显著的有效性.
该模型成功地捕获了大脑网络的复杂时空特征.

结论:

GNN-LSTM模型显示了计算机辅助ASD检测的巨大潜力.
动态功能连接分析为理解ASD提供了宝贵的见解.
这项研究为ASD研究和诊断提供了新的方法和参考.

关键词:

自闭症谱系障碍 (ASD)动态功能连接的功能连接.图形神经网络 (GNN) 是指图形神经网络.长时间的短期记忆 (LSTM)

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相关概念视频

Autism Spectrum Disorder

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.