Using deep clustering to improve fMRI dynamic functional connectivity analysis
NeuroImage(2022)
摘要
•We compared dimensionality reduction methods prior to clustering for dFC analysis.•We measured clustering performance in synthetic datasets with multiple subjects.•Deep clustering out-performed PCA, UMAP and raw k-means.•We demonstrated the effect of dimensionality reduction on results from real data.
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关键词
Dynamic functional connectivity,Sliding window correlations,Deep learning,Autoencoders,Dimensionality reduction
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