Structural connectivity and response to ketamine therapy in major depression: A preliminary study

Megha M. Vasavada, Amber M. Leaver, Randall T. Espinoza, Shantanu H. Joshi, Stephanie N. Njau, Roger P. Woods, Katherine L. Narr*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Background Ketamine elicits an acute antidepressant effect in patients with major depressive disorder (MDD). Here, we used diffusion imaging to explore whether regional differences in white matter microstructure prior to treatment may predict clinical response 24 h following ketamine infusion in 10 MDD patients. Methods FSL's Tract-Based Spatial Statistics (TBSS) established voxel-level differences in fractional anisotropy (FA) between responders (patients showing >50% improvement in symptoms 24 h post-infusion) and non-responders in major white matter pathways. Follow-up regions-of-interest (ROI) analyses examined differences in FA and radial (RD), axial (AD) and mean diffusivity (MD) between responders and non-responders and 15 age- and sex-matched controls, with groups compared pairwise. Results Whole brain TBSS (p<0.05, corrected) and confirmatory tract-based regions-of-interest analyses showed larger FA values in the cingulum and forceps minor in responders compared to non-responders; complementary decreases in RD occurred in the cingulum (p<0.05). Only non-responders differed from controls showing decreased FA in the forceps minor, increased RD in the cingulum and forceps minor, and increased MD in the forceps minor (p<0.05). Limitations Non-responders showed an earlier age of onset and longer current depressive episode than responders. Though these factors did not interact with diffusion metrics, results may be impacted by the limited sample size. Conclusions Though findings are considered preliminary, significant differences in FA, RD and MD shown in non-responders compared to responders and controls in fronto-limbic and ventral striatal pathways suggest that the structural architecture of specific functional networks mediating emotion may predict ketamine response in MDD.

Original languageEnglish (US)
Pages (from-to)836-841
Number of pages6
JournalJournal of Affective Disorders
Volume190
DOIs
StatePublished - Jan 15 2016

Keywords

  • Biomarkers
  • Diffusion Tensor Imaging (DTI)
  • Fractional anisotropy (FA)
  • Glutamate
  • Treatment response

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

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