Fused lasso regression for identifying differential correlations in brain connectome graphs

Document Type

Article

Publication Date

10-1-2018

Abstract

In this paper, we propose a procedure to find differential edges between 2 graphs from high-dimensional data. We estimate 2 matrices of partial correlations and their differences by solving a penalized regression problem. We assume sparsity only on differences between 2 graphs, not graphs themselves. Thus, we impose an ℓ2 penalty on partial correlations and an ℓ1 penalty on their differences in the penalized regression problem. We apply the proposed procedure in finding differential functional connectivity between healthy individuals and Alzheimer's disease patients.

Identifier

85050933016 (Scopus)

Publication Title

Statistical Analysis and Data Mining

External Full Text Location

https://doi.org/10.1002/sam.11382

e-ISSN

19321872

ISSN

19321864

First Page

203

Last Page

226

Issue

5

Volume

11

Grant

R01MH101555

Fund Ref

National Institute of Mental Health

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