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NATURALISTIC COURSE OF MAJOR DEPRESSIVE DISORDER PREDICTED BY CLINICAL AND STRUCTURAL NEUROIMAGING DATA: A 5‐YEAR FOLLOW‐UP
Author(s) -
SerraBlasco Maria,
DiegoAdeliño Javier,
VivesGilabert Yolanda,
Trujols Joan,
Puigdemont Dolors,
CarcellerSindreu Mar,
Pérez Victor,
Álvarez Enric,
Portella Maria J.
Publication year - 2016
Publication title -
depression and anxiety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.634
H-Index - 129
eISSN - 1520-6394
pISSN - 1091-4269
DOI - 10.1002/da.22522
Subject(s) - neuroimaging , depression (economics) , major depressive disorder , psychology , anterior cingulate cortex , magnetic resonance imaging , grey matter , medicine , psychiatry , clinical psychology , cognition , radiology , white matter , economics , macroeconomics
Background Despite its high recurrence rate, major depression disorder (MDD) still lacks neurobiological markers to optimize treatment selection. The aim of this study was to examine the prognostic potential of clinical and structural magnetic resonance imaging (sMRI) in the long‐term MDD clinical outcomes (COs). Methods Forty‐nine MDD patients were grouped into one of four different CO categories according to their trajectory: recovery, partial remission, remission recurrence, and chronic depression. Regression models including baseline demographic, clinical, and sMRI data were used for predicting patients' COs and symptom severity 5 years later. Results The model including only clinical data explained 32.4% of the variance in COs and 55% in HDRS, whereas the model combining clinical and sMRI data increased up to 52/68%, respectively. A bigger volume of right anterior cingulate gyrus was the variable that best predicted COs. Conclusions The findings suggest that the addition of sMRI brain data to clinical information in depressive patients can significantly improve the prediction of their COs. The dorsal part of the right anterior cingulate gyrus may act as a potential biomarker of long‐term clinical trajectories.