Alpha Band Dysconnectivity Networks in Major Depression during Resting State

Abstract

Major depression disorder (MDD) is associated with abnormal variability of functional connectivity during resting state. Impaired modulations of resting alpha oscillations have been demonstrated to be an important biomarker of MDD. In this study, we investigated the alpha-band dynamic functional networks in MDD using resting state electroencephalography. To explore the dysconnectivity networks at the group level, we assume that the MDD group and the healthy group share some common temporal networks but also retain individual temporal networks. Considering the multiway structure of the data, we applied a coupled tensor decomposition model on two adjacency tensors with the dimension of time <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\times$</tex> connectivity <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\times$</tex> subject. The double-coupled constraints are imposed on temporal and adjacency modes. We summarized two alpha-band dysconnectiv-ity networks by clustering the individual networks characterized with MDD.