Stability-driven Non-negative Matrix Factorization-based Approach for Extracting Dynamic Network from Resting-State EEG

Tianyi Zhou,Jiannan Kang,Fengyu Cong,Xiaoli Li

Neurocomputing（2020）

引用 8|浏览18

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摘要

•A novel data-driven model selection criterion is proposed to select the number of subnetworks.•The method could extract robust and biologically interpretable subnetworks.•Autism is characterized by long-range under-connectivity and local over-connectivity;.

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关键词

Dynamic functional networks,Interpretable subnetworks,Matrix decomposition,Resting-state EEG,Stability selection

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