- About this Journal ·
- Abstracting and Indexing ·
- Advance Access ·
- Aims and Scope ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Volume 35 (2013), Issue 1, Pages 23–31
Biomarkers Predicting Antidepressant Treatment Response: How Can We Advance the Field?
Max Planck Institute of Psychiatry, Molecular Stress Physiology, Kraepelinstrasse 2-10, 80804 Munich, Germany
Received 1 April 2013; Accepted 19 April 2013
Academic Editor: Daniel Martins-de-Souza
Copyright © 2013 Christiana Labermaier et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citations to this Article [2 citations]
The following is the list of published articles that have cited the current article.
- Daniel Martins-de-Souza, Giuseppina Maccarrone, Marcus Ising, Stefan Kloiber, Susanne Lucae, Florian Holsboer, and Christoph W. Turck, “Blood mononuclear cell proteome suggests Integrin and Ras signaling as critical pathways for antidepressant treatment response,” Biological Psychiatry, 2014.
- Mayuresh S. Korgaonkar, William Rekshan, Evian Gordon, A. John Rush, Leanne M. Williams, Christine Blasey, and Stuart M. Grieve, “Magnetic Resonance Imaging Measures of Brain Structure to Predict Antidepressant Treatment Outcome in Major Depressive Disorder,” EBioMedicine, 2014.