Large-scale classification of major depressive disorder via distributed Lasso

Abstract

Compared to many neurological disorders, for which imaging biomarkers are often available, there are no accepted imaging biomarkers to assist in the diagnosis of major depressive disorder (MDD). One major barrier to understanding MDD has been the lack of a practical and efficient platform for collaborative efforts across multiple data centers; integrating the knowledge from different centers should make it easier to identify characteristic measures that are consistently associated with the illness. Here we applied our newly developed "distributed Lasso" method to brain MRI data from multiple centers to perform feature selection and classification. Over 1,000 participants were involved in the..