A depression network of functionally connected regions discovered via multi-attribute canonical correlation graphs

Jian KangHan Liu


To establish brain network properties associated with major depressive disorder (MDD) using resting-state functional magnetic resonance imaging (Rs-fMRI) data, we develop a multi-attribute graph model to construct a region-level functional connectivity network that uses all voxel level information. For each region pair, we define the strength of the connectivity as the kernel canonical correlation coefficient between voxels in the two regions; and we develop a permutation test to assess the statistical significance. We also construct a network based classifier for making predictions on the risk of MDD. We apply our method to Rs-fMRI data from 20 MDD patients and 20 healthy control subjects in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study. Using this method, MDD patients can be distinguished from healthy control subjects based on significant differences in the strength of regional connectivity. We also demonstrate the performance of the proposed method using simulationstudies.


Nov 13, 2018·Cerebral Cortex·Edmund T RollsJianfeng Feng
Dec 7, 2018·Journal of the Royal Statistical Society. Series B, Statistical Methodology·Yunzhang Zhu, Lexin Li
Oct 22, 2019·Biostatistics·Yuting YeLexin Li


Mar 1, 1989·Archives of General Psychiatry·L R BaxterR M Sumida
Jul 23, 1999·Annals of the New York Academy of Sciences·W C Drevets
Nov 7, 2000·Biological Psychiatry·W C Drevets
Feb 17, 2001·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·O FrimanH Knutsson
Dec 24, 2002·Journal of Cognitive Neuroscience·Kevin N OchsnerJohn D E Gabrieli
Jun 19, 2003·JAMA : the Journal of the American Medical Association·Ronald C KesslerNational Comorbidity Survey Replication
Mar 18, 2004·Neuroimaging Clinics of North America·Helen S Mayberg
Apr 28, 2004·NeuroImage·David SeminowiczS Rafi-Tari
Sep 25, 2004·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Rajesh Nandy, Dietmar Cordes
Mar 8, 2005·Neuron·Helen S MaybergSidney H Kennedy
Apr 11, 2008·Annals of the New York Academy of Sciences·Randy L BucknerDaniel L Schacter
Jun 28, 2008·PLoS Computational Biology·Kaustubh SupekarMichael D Greicius
Oct 28, 2009·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·R Cameron CraddockHelen S Mayberg

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