Tensor network factorizations: Relationships between brain structural connectomes and traits.

ABSTRACT: Advanced brain imaging techniques make it possible to measure individuals' structural connectomes in large cohort studies non-invasively. Given the availability of large scale data sets, it is extremely interesting and important to build a set of advanced tools for structural connectome extraction and statistical analysis that emphasize both interpretability and predictive power. In this paper, we developed and integrated a set of toolboxes, including an advanced structural connectome extraction pipeline and a novel tensor network principal components analysis (TN-PCA) method, to study relationships between structural connectomes and various human traits such as alcohol and drug use, cognition and motion abilities. The structural connectome extraction pipeline produces a set of connectome

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC6613218 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature