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Article details
Title
The antidepressant efficacy of subanesthetic-dose ketamine does not correlate with baseline subcortical volumes in a replication sample with major depressive disorder
Published in
Journal of Psychopharmacology, October 2017
DOI 10.1177/0269881117732514
Pubmed ID
Authors
Abstract

This study sought to reproduce, in a larger sample, previous findings of a correlation between smaller raw 3-Tesla (3T) hippocampal volumes and improved antidepressant efficacy of ketamine in individuals with major depressive disorder (MDD). A secondary analysis stratified subjects according to functional BDNF rs6265 (val66met) genotype. Unmedicated subjects with treatment-resistant MDD ( n=55) underwent baseline structural 3T MRI. Data processing was conducted with FSL/FIRST and Freesurfer software. The amygdala, hippocampus, and thalamus were selected a priori for analysis. All subjects received a single 0.5mg/kg × 40-minute ketamine infusion. Pearson correlations were performed with subcortical volumes and percent change in MADRS score (from baseline to 230 minutes, 1 day, and 1 week post-infusion). Raw and corrected subcortical volumes did not correlate with antidepressant response at any timepoint. In val/val subjects ( n=23), corrected left and right thalamic volume positively correlated with antidepressant response to ketamine at 230 minutes post-infusion but did not reach statistical significance. In met carriers ( n=14), corrected left and right thalamic volume negatively correlated with antidepressant response to ketamine. Baseline subcortical volumes implicated in MDD did not correlate with ketamine's antidepressant efficacy. Baseline thalamic volume and BDNF genotype may be a combinatorial rapid antidepressant response biomarker.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 20 14%
Student > Master 13 9%
Researcher 13 9%
Student > Ph. D. Student 11 8%
Other 10 7%
Other 14 10%
Unknown 59 42%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 23 16%
Psychology 14 10%
Neuroscience 13 9%
Nursing and Health Professions 8 6%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 16 11%
Unknown 61 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 January 2021.
All research outputs
#26,529,333
of 31,911,700 outputs
Outputs from Journal of Psychopharmacology
#1,999
of 2,358 outputs
Outputs of similar age
#283,087
of 355,339 outputs
Outputs of similar age from Journal of Psychopharmacology
#24
of 30 outputs
Altmetric has tracked 31,911,700 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,358 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.9. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.