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Temporal dynamics of the pharmacological MRI response to subanaesthetic ketamine in healthy volunteers: A simultaneous EEG/fMRI study

Rebecca McMillan, Anna Forsyth, Doug Campbell, Gemma Malpas, Elizabeth A. Maxwell, Juergen Dukart, Joerg F. Hipp, Suresh Muthukumaraswamy

Journal of Psychopharmacology January 21, 2019 DOI: 10.1177/0269881118822263 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational cohort Peer reviewed
Sample size 30
Population Healthy male participants
Intervention subanaesthetic intravenous ketamine infusion
Dose subanaesthetic intravenous ketamine infusion
Topics Ketamine Esketamine
Keywords Blood-oxygen-level dependent Electroencephalography Anterior cingulate cortex Magnetic resonance imaging EEG-FMRI Anesthesia Cognition Radiology
Citations 23
Key findings Ketamine-induced decreases in subgenual anterior cingulate cortex blood-oxygen-level dependent signal are largely attributable to physiological noise, and a single temporal model does not capture the full spectrum of neural dynamics.

Abstract

Background: Pharmacological magnetic resonance imaging has been used to investigate the neural effects of subanaesthetic ketamine in healthy volunteers. However, the effect of ketamine has been modelled with a single time course and without consideration of physiological noise.

Aims: This study aimed to investigate ketamine-induced alterations in resting neural activity using conventional pharmacological magnetic resonance imaging analysis techniques with physiological noise correction, and a novel analysis utilising simultaneously recorded electroencephalography data.

Methods: Simultaneous electroencephalography/functional magnetic resonance imaging and physiological data were collected from 30 healthy male participants before and during a subanaesthetic intravenous ketamine infusion.

Results: Consistent with previous literature, we show widespread cortical blood-oxygen-level dependent signal increases and decreased blood-oxygen-level dependent signals in the subgenual anterior cingulate cortex following ketamine. However, the latter effect was attenuated by the inclusion of motion regressors and physiological correction in the model. In a novel analysis, we modelled the pharmacological magnetic resonance imaging response with the power time series of seven electroencephalography frequency bands. This showed evidence for distinct temporal time courses of neural responses to ketamine. No electroencephalography power time series correlated with decreased blood-oxygen-level dependent signal in the subgenual anterior cingulate cortex.

Conclusions: We suggest the decrease in blood-oxygen-level dependent signals in the subgenual anterior cingulate cortex typically seen in the literature is the result of physiological noise, in particular cardiac pulsatility. Furthermore, modelling the pharmacological magnetic resonance imaging response with a single temporal model does not completely capture the full spectrum of neuronal dynamics. The use of electroencephalography regressors to model the response can increase confidence that the pharmacological magnetic resonance imaging is directly related to underlying neural activity.

Comparable studies

Other observational and cohort studies on ketamine, most cited first.

Study Year Design Participants
Taming the Ketamine Tiger Volunteers from a prison population 2010 Observational study n = 20
Increased spontaneous MEG signal diversity for psychoactive doses of ketamine, LSD and psilocybin Humans 2017 Observational study
Disruption of Frontal–Parietal Communication by Ketamine, Propofol, and Sevoflurane Surgical patients undergoing induction of anesthesia with intravenous ketamine 2013 Observational cohort n = 30
Do the dissociative side effects of ketamine mediate its antidepressant effects? Treatment-resistant inpatients with major depressive disorder or bipolar disorder 2014 Observational cohort n = 108
Concomitant BDNF and sleep slow wave changes indicate ketamine-induced plasticity in major depressive disorder Patients with treatment-resistant major depressive disorder 2012 Observational cohort n = 30

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