Article

Identifying associations in dense connectomes using structured kernel principal component regression

2018-01-04

Abstract excerpt

A powerful and computationally efficient multivariate approach is proposed here, called structured kernel principal component regression (sKPCR), for the identification of associations in the voxel-level dense connectome. The method can identify voxel -phenotype associations based on the voxels’ whole-brain connectivity pattern, which is applicable to detect linear and non-linear signals for both volume-based and...

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Literature Corpus work: 2e88a97a-5c8e-572d-8b10-7bd9473f28af
DOI: 10.1101/242982

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