Persistent spectral based machine learning method for autism spectrum disorder classification

Xudong Zhang

doi:10.1016/j.neucom.2025.130780

2025-07-12

PRE

DOI：10.1016/j.neucom.2025.130780

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自闭症谱系障碍（ASD）是一种广泛且复杂的神经发育性疾病。ASD患病率的不断上升给社会和家庭带来了巨大的负担。功能磁共振成像（fMRI）有助于加深对ASD的理解，同时也促进了早期诊断和有效治疗策略的发展。本研究旨在通过结合拓扑学与持久谱理论以及功能连接，为ASD的早期诊断提供新颖且更可靠的工具，并深入探究其神经机制。

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Neurocomputing

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6.5

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2.5W

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6.5W

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