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Modulation of amygdala reactivity following rapidly acting interventions for major depression.

Joana R Loureiro, Amber M Leaver, Megha M Vasavada, Ashish K Sahib, Antoni Kubicki, Shantanu Joshi, Roger P Woods, Benjamin Wade, Eliza Congdon, Randall Espinoza, Katherine L Narr

Human Brain Mapping May 1, 2020 DOI: 10.1002/hbm.24895 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Naturalistic study Peer reviewed
Sample size 44
Population Patients with major depressive disorder unresponsive to standard treatments
Interventions Electroconvulsive therapy Ketamine
Dose 0.5 mg/kg
Topics Depression Ketamine
Keywords Ect Amygdala Emotion processing Tfmri
Citations 65
Key points Both ECT and ketamine reduce amygdala reactivity to emotional faces, with treatment-specific changes in the dorsolateral prefrontal cortex and insula, and correlations between brain activity changes and symptom improvement in anxiety and anhedonia.

Abstract

Electroconvulsive therapy (ECT) and ketamine treatment both induce rapidly acting antidepressant effects in patients with major depressive disorder unresponsive to standard treatments, yet their specific impact on emotion processing is unknown. Here, we examined the neural underpinnings of emotion processing within and across patients (N = 44) receiving either ECT (N = 17, mean age: 36.8, 11.0 SD) or repeated subanesthetic (0.5 mg/kg) intravenous ketamine therapy (N = 27, mean age: 37.3, 10.8 SD) using a naturalistic study design. MRI and clinical data were collected before (TP1) and after treatment (TP2); healthy controls (N = 31, mean age: 34.5, 13.5 SD) completed one MRI session (TP1). An fMRI face-matching task probed negative- and positive-valence systems. Whole-brain analysis, comparing neurofunctional changes within and across treatment groups, targeted brain regions involved in emotional facial processing, and included regions-of-interest analysis of amygdala responsivity. Main findings revealed a decrease in amygdalar reactivity after both ECT and ketamine for positive and negative emotional face processing (p < .05 family wise-error (FWE) corrected). Subthreshold changes were observed between treatments within the dorsolateral prefrontal cortex and insula (p < .005, uncorrected). BOLD change for positive faces in the inferior parietal cortex significantly correlated with overall symptom improvement, and BOLD change in frontal regions correlated with anxiety for negative faces, and anhedonia for positive faces (p < .05 FWE corrected). Both serial ketamine and ECT treatment modulate amygdala response, while more subtle treatment-specific changes occur in the larger functional network. Findings point to both common and differential mechanistic upstream systems-level effects relating to fast-acting antidepressant response, and symptoms of anxiety and anhedonia, for the processing of emotionally valenced stimuli.

Comparable studies

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

Study Year Design Participants
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
Altered peripheral immune profiles in treatment-resistant depression: response to ketamine and prediction of treatment outcome Healthy controls and actively depressed patients with treatment-resistant depression... 2017 Observational cohort n = 59
Clinical Predictors of Ketamine Response in Treatment-Resistant Major Depression Treatment-resistant inpatients with DSM-IV-TR-diagnosed major depressive disorder or... 2014 Post hoc analysis of pooled data from four studies n = 108
An investigation of amino-acid neurotransmitters as potential predictors of clinical improvement to ketamine in depression Drug-free patients with major depressive disorder 2011 Observational cohort n = 14
Efficacy of ketamine therapy in the treatment of depression Drug-free/naïve men with severe depression, no history of psychotic disorder, head... 2019 Observational cohort n = 25

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