Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity.

JAMA Psychiatry
Roselinde H KaiserDiego A Pizzagalli

Abstract

Major depressive disorder (MDD) has been linked to imbalanced communication among large-scale brain networks, as reflected by abnormal resting-state functional connectivity (rsFC). However, given variable methods and results across studies, identifying consistent patterns of network dysfunction in MDD has been elusive. To investigate network dysfunction in MDD through a meta-analysis of rsFC studies. Seed-based voxelwise rsFC studies comparing individuals with MDD with healthy controls (published before June 30, 2014) were retrieved from electronic databases (PubMed, Web of Science, and EMBASE) and authors contacted for additional data. Twenty-seven seed-based voxel-wise rsFC data sets from 25 publications (556 individuals with MDD and 518 healthy controls) were included in the meta-analysis. Coordinates of seed regions of interest and between-group effects were extracted. Seeds were categorized into seed-networks by their location within a priori functional networks. Multilevel kernel density analysis of between-group effects identified brain systems in which MDD was associated with hyperconnectivity (increased positive or reduced negative connectivity) or hypoconnectivity (increased negative or reduced positive connectivity) ...Continue Reading

Citations

Dec 15, 2015·Journal of Affective Disorders·Emre Bora, Michael Berk
Jan 23, 2016·Frontiers in Aging Neuroscience·Chen-Chia LanAlbert C Yang
Mar 27, 2016·Journal of the American Academy of Child and Adolescent Psychiatry·Rémi PatriatRyan J Herringa
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Dec 29, 2015·Biological Psychiatry : Cognitive Neuroscience and Neuroimaging·Magdalena SikoraMarta Peciña
Dec 4, 2015·Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology·Roselinde H KaiserDiego A Pizzagalli
Dec 8, 2015·Nature Communications·Roee Admon, Diego A Pizzagalli
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