Predicting Antidepressant Citalopram Treatment Response via Changes in Brain Functional Connectivity After Acute Intravenous Challenge

Predicting Antidepressant Citalopram Treatment Response via Changes in Brain Functional Connectivity After Acute Intravenous Challenge

Introduction: The early and therapy-specific prediction of treatment success in major depressive disorder is of paramount importance due to high lifetime prevalence, and heterogeneity of response to standard medication and symptom expression. Hence, this study assessed the predictability of long-ter...

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Bibliographic Details
Main Authors: Manfred Klöbl, Gregor Gryglewski, Lucas Rischka, Godber Mathis Godbersen, Jakob Unterholzner, Murray Bruce Reed, Paul Michenthaler, Thomas Vanicek, Edda Winkler-Pjrek, Andreas Hahn, Siegfried Kasper, Rupert Lanzenberger
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
treatment response prediction
major depressive disorder
selective serotonin reuptake inhibitors
functional connectivity
resting-state
functional magnetic resonance imaging
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2020.554186/full

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https://www.frontiersin.org/article/10.3389/fncom.2020.554186/full

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