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Hippocampal tail volume as a predictive biomarker of antidepressant treatment outcomes in patients with major depressive disorder: a CAN-BIND report

Authors :
Roumen Milev
Paul D. Metzak
Claudio N. Soares
Stephen R. Arnott
Jacqueline K. Harris
Nikita Nogovitsyn
Roberto Souza
Sagar V. Parikh
Mojdeh Zamyadi
Sidney H. Kennedy
Geoffrey B. Hall
Meghan Muller
Kate L. Harkness
Glenda MacQueen
Jonathan Downar
Stefanie Hassel
Stephen C. Strother
Benicio N. Frey
Susan Rotzinger
Raymond W. Lam
Zahinoor Ismail
Jean Addington
Andrew D. Davis
Source :
Neuropsychopharmacology
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

Finding a clinically useful neuroimaging biomarker that can predict treatment response in patients with major depressive disorder (MDD) is challenging, in part because of poor reproducibility and generalizability of findings across studies. Previous work has suggested that posterior hippocampal volumes in depressed patients may be associated with antidepressant treatment outcomes. The primary purpose of this investigation was to examine further whether posterior hippocampal volumes predict remission following antidepressant treatment. Magnetic resonance imaging (MRI) scans from 196 patients with MDD and 110 healthy participants were obtained as part of the first study in the Canadian Biomarker Integration Network in Depression program (CAN-BIND 1) in which patients were treated for 16 weeks with open-label medication. Hippocampal volumes were measured using both a manual segmentation protocol and FreeSurfer 6.0. Baseline hippocampal tail (Ht) volumes were significantly smaller in patients with depression compared to healthy participants. Larger baseline Ht volumes were positively associated with remission status at weeks 8 and 16. Participants who achieved early sustained remission had significantly greater Ht volumes compared to those who did not achieve remission by week 16. Ht volume is a prognostic biomarker for antidepressant treatment outcomes in patients with MDD.

Details

ISSN :
1740634X and 0893133X
Volume :
45
Database :
OpenAIRE
Journal :
Neuropsychopharmacology
Accession number :
edsair.doi.dedup.....96bcef633af8c78b1cc7dfe199f1ffad