• Corpus ID: 222140861

Multi-scale graph principal component analysis for connectomics

  title={Multi-scale graph principal component analysis for connectomics},
  author={Steven N Winter and Zhengwu Zhang and David B. Dunson},
  journal={arXiv: Methodology},
In brain connectomics, the cortical surface is parcellated into different regions of interest (ROIs) prior to statistical analysis. The brain connectome for each individual can then be represented as a graph, with the nodes corresponding to ROIs and edges to connections between ROIs. Such a graph can be summarized as an adjacency matrix, with each cell containing the strength of connection between a pair of ROIs. These matrices are symmetric with the diagonal elements corresponding to self… 

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