Journal article
Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study
L Schmaal, AF Marquand, D Rhebergen, MJ Van Tol, HG Ruhé, NJA Van Der Wee, DJ Veltman, BWJH Penninx
Biological Psychiatry | ELSEVIER SCIENCE INC | Published : 2015
Open access
Abstract
Background A chronic course of major depressive disorder (MDD) is associated with profound alterations in brain volumes and emotional and cognitive processing. However, no neurobiological markers have been identified that prospectively predict MDD course trajectories. This study evaluated the prognostic value of different neuroimaging modalities, clinical characteristics, and their combination to classify MDD course trajectories. Methods One hundred eighteen MDD patients underwent structural and functional magnetic resonance imaging (MRI) (emotional facial expressions and executive functioning) and were clinically followed-up at 2 years. Three MDD trajectories (chronic n = 23, gradual improv..
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Awarded by National Institutes of Health
Funding Acknowledgements
The infrastructure for the Netherlands Study of Depression and Anxiety (http://www.nesda.nl) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (Grant number 10-000-1002) and is supported by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Arkin, Leiden University Medical Center, GGZ Rivierduinen, University Medical Center Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Scientific Institute for Quality of Healthcare [IQ healthcare], Netherlands Institute for Health Services Research, and Netherlands Institute of Mental Health and Addiction [Trimbos Institute]). AFM gratefully acknowledges support from King's College London Centre of Excellence in Medical Engineering, funded by the Wellcome Trust and the Engineering and Physical Sciences Research Council under Grant number WT088641/Z/09/Z and also the Netherlands Organisation for Scientific Research under the Language in Interaction project. LS and BWJHP are supported by Netherlands Organisation for Scientific Research Vici Grant number 91811602; HGR is supported by a Netherlands Organisation for Scientific Research/Netherlands Organisation for Health Research and Development Veni Grant number 016.126.059. LS gratefully acknowledges support from The Netherlands Brain Foundation Grant number F2014(1)-24 and the Neuroscience Campus Amsterdam Grant number PoC-2014-NMH-02 and PoC-2014-BIT-04.