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Glutamatergic Signaling Drives Ketamine-Mediated Response in Depression: Evidence from Dynamic Causal Modeling

Jessica R. Gilbert, Julia S. Yarrington, Kathleen E. Wills, Allison C. Nugent, Carlos A. Zarate

The International Journal of Neuropsychopharmacology April 10, 2018 DOI: 10.1093/ijnp/pyy041 via OpenAlex

Summary

Ketamine, a drug that modulates glutamate signaling, produces rapid antidepressant effects. In a double-blind, crossover, placebo-controlled study, 18 people with major depressive disorder and 18 healthy controls each received a single intravenous infusion of ketamine (0.5 mg/kg) and a saline placebo. Magnetoencephalography measured brain activity during tactile stimulation 6 to 9 hours after each infusion. Dynamic causal modeling revealed that ketamine altered NMDA receptor-mediated connectivity differently in the two groups: backward connections were enhanced in depressed subjects, while forward connections were enhanced in controls. Among depressed subjects, improved mood correlated with reduced NMDA and AMPA connectivity in the somatosensory network. The findings indicate that AMPA- and NMDA-mediated glutamatergic signaling is central to ketamine's antidepressant action.

Study at a glance

Characteristics Double-blind, crossover, placebo-controlled study Peer reviewed
Sample size 36
Population Drug-free major depressive disorder subjects and healthy controls
Intervention Ketamine hydrochloride
Dose 0.5 mg/kg
Duration Single infusion; recordings 6 to 9 hours after infusion
Topics Ketamine
Keywords Glutamatergic Depression economics Neuroscience Psychology
Citations 58
Key finding Ketamine altered NMDA receptor-mediated connectivity in opposite directions in depressed and healthy subjects, and reduced NMDA and AMPA connectivity in depressed subjects correlated with improved mood.

Abstract

BACKGROUND: The glutamatergic modulator ketamine has rapid antidepressant effects in individuals with major depressive disorder and bipolar depression. Thus, modulating glutamatergic transmission may be critical to effectively treating depression, though the mechanisms by which this occurs are not fully understood. METHODS: This double-blind, crossover, placebo-controlled study analyzed data from 18 drug-free major depressive disorder subjects and 18 heathy controls who received a single i.v. infusion of ketamine hydrochloride (0.5 mg/kg) as well as an i.v. saline placebo. Magnetoencephalographic recordings were collected prior to the first infusion and 6 to 9 hours after both ketamine and placebo infusions. During scanning, participants passively received tactile stimulation to the right index finger. Antidepressant response was assessed across timepoints using the Montgomery-Asberg Depression Rating Scale. Dynamic causal modeling was used to measure changes in α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA)- and N-methyl-D-aspartate (NMDA)-mediated connectivity estimates in major depressive disorder subjects and controls using a simple model of somatosensory evoked responses. RESULTS: Both major depressive disorder and healthy subjects showed ketamine-mediated NMDA-blockade sensitization, with major depressive disorder subjects showing enhanced NMDA connectivity estimates in backward connections and controls showing enhanced NMDA connectivity estimates in forward connections in our model. Within our major depressive disorder subject group, ketamine efficacy, as measured by improved mood ratings, correlated with reduced NMDA and AMPA connectivity estimates in discrete extrinsic connections within the somatosensory cortical network. CONCLUSIONS: These findings suggest that AMPA- and NMDA-mediated glutamatergic signaling play a key role in antidepressant response to ketamine and, further, that dynamic causal modeling is a powerful tool for modeling AMPA- and NMDA-mediated connectivity in vivo. CLINICALTRIALS.GOV: NCT#00088699.

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