The Effect of Repeated Ketamine Infusion Over Facial Emotion Recognition in Treatment-Resistant Depression: A Preliminary Report
Abstract
In contrast to improvement in emotion recognition bias by traditional antidepressants, the authors report preliminary findings that changes in facial emotion recognition are not associated with response of depressive symptoms after repeated ketamine infusions or relapse during follow-up in treatment-resistant depression.
Studies show that conventional antidepressants exert therapeutic action through correcting biases in emotional processing.1,2 The cutting-edge discovery of ketamine’s rapid and efficacious antidepressant effect opens new avenues to examine the potential role of glutamatergic agents.3,4 However, it is unknown whether the role of emotion processing mediates ketamine’s antidepressant action. This preliminary study examined the association of emotion identification and antidepressant outcomes through six consecutive ketamine infusions among treatment-resistant depression (TRD) subjects.
Methods
Study Design
Open-label study of six ketamine infusions administered over 12 days followed by a 4-week follow-up period was conducted at the Minneapolis VA Medical Center.
Participants
Subjects aged 18 to 70 years had recurrent Major Depressive Disorder by a Structured Clinical Interview for DSM-IV and moderate to severe depressive symptoms [Hamilton Depression Rating Scale-17-item (HDRS-17) ≥14]. TRD was defined by the lack of improvement from current depressive episode after at least two adequate antidepressant trials of different pharmacological classes. The Antidepressant Treatment History Form5 (rating antidepressant trial ≥3; confidence rating ≥3) was used to assess antidepressant trials.
Patients were excluded due to cognitive impairment [Mini-Mental State Examination (MMSE) ≤26]; unstable medical illness, pregnancy, use of barbiturates or narcotics, current/lifetime diagnosis of post-traumatic stress disorder, psychosis, mania/hypomania; CNS related disorders (e.g., Parkinson's disease, severe head trauma); substance use disorder within 6 months or positive urine toxicology at baseline; active suicidal ideation. The dosages of medications used for depression including augmenting agents remained stable for at least 2 months prior to the beginning of and during the study period. The local Institutional Review Board approved the study, and written informed consent was obtained from all subjects.
Procedures
Six IV infusions of ketamine hydrochloride solution (Mylan Inc, St. Paul, MN) at 0.5 mg/Kg were administered over 40 minutes on a Monday-Wednesday-Friday schedule over a 12-day period. Vital signs and pulse oximetry were recorded every 10 minutes for 1 hour beginning 10 minutes before infusion. Severity of depressive symptoms [Montgomery-Åsberg Depression Rating Scale (MADRS)],6 psychotomimetic symptoms (Brief Psychiatric Rating Scale), and dissociative effects (Clinician-Administered Dissociative States Scale) were measured 30 minutes before infusion, at the end of infusion (t0+40 min), and again at t0+100 minutes and t0+160 minutes. Patients who responded after the last dose of ketamine were followed weekly for 4 consecutive weeks or until relapse was observed. Response was defined as ≥50% improvement from MADRS baseline score. Remission was established by a MADRS ≤9. Relapse was defined as <50% of baseline MADRS score at that follow-up visit.
Facial Emotion Recognition Task
Facial emotion recognition task (FERT) was administered at baseline and at each follow-up visit after completion of the six ketamine infusions. Facial images were taken from the Facial Expressions of Emotion: Stimuli and Tests7 and presented by Superlab Pro on a laptop computer. The task aims to identify facial emotions of happiness, fear, and sadness randomly presented in three blocks corresponding to each target emotion. Each block was composed by 36 neutral, and 42 emotional expressions (equally divided in 25% and 50% intensity) presented at 500 ms of exposure. Following completion of FERT, participants had a gender recognition task following the same procedures as FERT. This task served as an active experimental control for aspects unrelated to facial emotion recognition such as visual and attentional processing.
Data Analysis
Linear mixed models using maximum likelihood estimation and an unstructured covariance structure were used to analyze change in MADRS scores over time. Mixed models examined the change in FERT performance over time with intercept, time, and other covariates as fixed effects. Logistic regression models analyzed the change in FERT performance as predictors of depression relapse following treatment.
Results
Demographic and Clinical Characteristics
The sample was composed by 15 men; average age of 52 years; onset of first major depressive episode at age 32; had at least three lifetime episodes of major depression; and had a HDRS-17 mean score=20.3 (SD 4.3) and at least three adequate antidepressant trials during current episode of 17 months; three had a past history of substance disorder; 11 had at least one psychiatric hospitalization; four had prior suicidal attempts; and two had received electroconvulsive therapy for depression. Out of 15 subjects, two dropped out after the first infusion because of dissatisfaction of expected ketamine’s therapeutic effects.
Antidepressant Outcomes
For the sample of 13 subjects, there was a statistically significant decreased in MADRS score (F (5, 65) = 37.8, p <0.0001) from 29.9 (SD=2.3) at baseline to 7.0 (SD=2.3) after the last infusion. Out of 13 subjects, 12 (92.3%) achieved response criterion and nine (69.2%) remitted. Six out of 12 subjects (50%) remain in response status throughout the 4 weeks of follow-up. The mean time for those six subjects who relapsed after the last infusion was 16 days (range 7–28 days). Four patients relapsed within 1 week after the last infusion.
Baseline Performance in FERT and Gender Recognition
There was a statistically significant difference in the perception of target emotions at 25% intensity [F(2, 1498)=16.05,p<0.0001] and 50% intensity [F(2,1498)=38.3,p<0.0001]. Overall, happiness was the easiest emotion to identify at both intensities (Table 1). We also found a statistically significant higher accuracy in congruent target-stimuli trials (e.g., target the recognition of fear with fearful faces as stimuli) at 25% [F(4,1498)=171.88, p <0.0001] and 50% intensity [F(4,1498)=14.33, p <0.0001]. Under congruent conditions, happiness again had the highest accuracy (Table 1). For neutral facial stimuli, there was a significant difference in the recognition of emotions [F(2,1498)=38.3,p <0.0001] with perception of sadness showing the lowest accuracy.
Target Emotion Identification | |||||||
---|---|---|---|---|---|---|---|
Emotion of Facial Stimuli | Intensity of Facial Stimuli | Fear | Happy | Sadness | |||
Reaction Time (ms) | Accuracy (%) | Reaction Time (ms) | Accuracy (%) | Reaction Time (ms) | Accuracy (%) | ||
Neutral | 0% | 835 | 96.8 | 772 | 91.4 | 979 | 81.2 |
Fear | 25% | 847 | 21.4 | 702 | 91.1 | 1011 | 75.0 |
Happy | 901 | 98.2 | 772 | 63.1 | 779 | 97.0 | |
Sadness | 759 | 92.9 | 778 | 90.5 | 1056 | 39.9 | |
Fear | 50% | 831 | 76.8 | 736 | 98.2 | 1102 | 78.6 |
Happy | 772 | 93.5 | 668 | 96.4 | 884 | 93.5 | |
Sadness | 996 | 72.6 | 747 | 98.2 | 890 | 58.9 |
TABLE 1. Accuracy and Reaction Time of Emotion Identification to Neutral, Fear, Sad, and Happy Expressions by Intensity of Facial Stimuli
Reaction times were omitted as a measure of FERT performance because of a large variation to complete the task; however, we found no speed-accuracy trade-off (r=−0.11,p <0.001) during FERT performance. We also found a no significant difference in the accuracy of gender recognition by emotions at neutral, 25% or 50% intensity (data not shown).
Baseline Predictors of Change in Severity of Depressive Symptoms Through Repeated Ketamine Infusions
Based on FERT baseline performance, accuracy to identify some emotional faces may have resulted in a ceiling effect minimizing the probability to detect improvement, if any, during treatment infusion. We chose accuracy in the congruent target-stimuli conditions of happiness, sadness and fear at 25% intensity as predictor variable for further analysis. FERT performance was not found to be a significant predictor of change in MADRS measure through six infusions [(fear:F(1,13)= 0.138,p=0.72; happy: F(1,13)= 0.982,p=0.34; sadness:F(1,13)= 0.047,p=0.83)].
Effect of Six Ketamine Infusions Over Emotion Recognition During Follow-Up
We found no significant changes in repeated measure of emotion recognition over time after completion of infusions [sadness(F(4,539)=0.70,p=0.59; fear(F(4,539)=1.87,p=0.11;happiness (F(4,539)=0.22,p=0.93)]. We also found no significant interaction of accuracy recognition of emotions and depression relapse (MADRS >50% of baseline score) [sadness (Wald χ2(1)=0.39, p=0.53; fear (Wald χ2(1)=0.95, p=0.33; happiness (Wald χ2(1)=1.39, p=0.24)].
Discussion
We found in this preliminary study a general nonselective impairment to identify facial expressions. He and colleagues found similar results in TRD patients when responding to facial emotions of anger, happiness, and sadness.8 Although most studies in major depression report a negative response bias namely that facial expressions tend to be evaluated more sad or less happy than controls,9,10 TRD could represent a unique subtype of depression based on its clinical characteristics, course, and neurobiological profile. Future studies may substantiate this specific finding in our sample.
We also found that baseline deficits in emotion were not associated with improvement in depressive symptoms during repeated ketamine treatment. These deficits showed small variability during follow-up with no significant association to the likelihood of relapse into depression. In contrast, results from studies with escitalopram,11 citalopram,1 and reboxetine12 showed that the initial step of antidepressants’ therapeutic action relies on correcting biases in emotional processing that are probably not accessible to subjective state and also predates symptomatic improvement.
The mechanism of action of ketamine has not been completely elucidated13; however, the majority of ketamine’s known pharmacological effects are mediated through an antagonistic action on the N-methyl-D-aspartate glutamate receptor.14 Conventional antidepressants rely on the modulation monoaminergic neurotransmitters (serotonin, norepinephrine, and dopamine), which could then explain the specific prosocial behavioral changes involved in its antidepressant response.
The correction of emotional bias might not be a necessary step in ketamine’s antidepressant action compared with evidence from traditional antidepressants. Future studies should overcome the study’s limitations including a small, only-men sample, several exclusion criteria, and lack of placebo control.
1 : The effect of serotonergic and noradrenergic antidepressants on face emotion processing in depressed patients. J Affect Disord 2009; 118:87–93Crossref, Medline, Google Scholar
2 : Emotion recognition processing as early predictor of response to 8-week citalopram treatment in late-life depression. Int J Geriatr Psychiatry 2014; 29:1132–1139Crossref, Medline, Google Scholar
3 : A randomized trial of an N-methyl-D-aspartate antagonist in treatment-resistant major depression. Arch Gen Psychiatry 2006; 63:856–864Crossref, Medline, Google Scholar
4 : Antidepressant efficacy of ketamine in treatment-resistant major depression: a two-site randomized controlled trial. Am J Psychiatry 2013; 170:1134–1142Crossref, Medline, Google Scholar
5 : The definition and meaning of treatment-resistant depression. J Clin Psychiatry 2001; 62(Suppl 16):10–17Medline, Google Scholar
6 : A new depression scale designed to be sensitive to change. Br J Psychiatry 1979; 134:382–389Crossref, Medline, Google Scholar
7 : Facial Expressions of Emotion: Stimuli and Tests (FEEST). Palo Alto, CA, Thames Valley Test Company, 2002Google Scholar
8 : Facial emotion triggered cerebral potentials in treatment-resistant depression and borderline personality disorder patients of both genders. Prog Neuropsychopharmacol Biol Psychiatry 2012; 37:121–127Crossref, Medline, Google Scholar
9 : Recognition accuracy and response bias to happy and sad facial expressions in patients with major depression. Neuropsychology 2004; 18:212–218Crossref, Medline, Google Scholar
10 : Identifying differences in biased affective information processing in major depression. Psychiatry Res 2008; 159:18–24Crossref, Medline, Google Scholar
11 : Short-term SSRI treatment normalises amygdala hyperactivity in depressed patients. Psychol Med 2012; 42:2609–2617Crossref, Medline, Google Scholar
12 : Effect of acute antidepressant administration on negative affective bias in depressed patients. Am J Psychiatry 2009; 166:1178–1184Crossref, Medline, Google Scholar
13 : Ketamine: Promising path or false prophecy in the development of novel therapeutics for mood disorders? Neuropsychopharmacology 2015; 40:259–267Crossref, Medline, Google Scholar
14 : Signaling pathways underlying the rapid antidepressant actions of ketamine. Neuropharmacology 2012; 62:35–41Crossref, Medline, Google Scholar