NATURALISTIC COURSE OF MAJOR DEPRESSIVE DISORDER PREDICTED BY CLINICAL AND STRUCTURAL NEUROIMAGING DATA: A 5-YEAR FOLLOW-UP

Maria Serra-Blasco, Javier de Diego-Adeliño, Yolanda Vives-Gilabert, Joan Trujols, Dolors Puigdemont, Mar Carceller-Sindreu, Victor Pérez, Enric Álvarez, Maria J. Portella

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)

Abstract

© 2016 Wiley Periodicals, Inc. 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.
Original languageEnglish
Pages (from-to)1055-1064
JournalDepression and Anxiety
Volume33
Issue number11
DOIs
Publication statusPublished - 1 Nov 2016

Keywords

  • biological markers
  • brain imaging/neuroimaging
  • depression
  • mood disorders
  • treatment resistance

Fingerprint Dive into the research topics of 'NATURALISTIC COURSE OF MAJOR DEPRESSIVE DISORDER PREDICTED BY CLINICAL AND STRUCTURAL NEUROIMAGING DATA: A 5-YEAR FOLLOW-UP'. Together they form a unique fingerprint.

  • Cite this

    Serra-Blasco, M., de Diego-Adeliño, J., Vives-Gilabert, Y., Trujols, J., Puigdemont, D., Carceller-Sindreu, M., Pérez, V., Álvarez, E., & Portella, M. J. (2016). NATURALISTIC COURSE OF MAJOR DEPRESSIVE DISORDER PREDICTED BY CLINICAL AND STRUCTURAL NEUROIMAGING DATA: A 5-YEAR FOLLOW-UP. Depression and Anxiety, 33(11), 1055-1064. https://doi.org/10.1002/da.22522