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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: Harv Rev Psychiatry. 2018 Nov-Dec;26(6):320–339. doi: 10.1097/HRP.0000000000000179

Ketamine-Associated Brain Changes: A Review of the Neuroimaging Literature

Dawn F Ionescu 1,2, Julia M Felicione 1, Aishwarya Gosai 1, Cristina Cusin 1,2, Philip Shin 1, Benjamin G Shapero 1,2, Thilo Deckersbach 1,2,3
PMCID: PMC6102096  NIHMSID: NIHMS901846  PMID: 29465479

Abstract

Major depressive disorder (MDD) is one of the most prevalent conditions in psychiatry. Patients who do not respond to traditional monoaminergic antidepressant treatments have an especially difficult-to-treat type of MDD termed treatment-resistant depression. Interestingly, subanesthetic doses of ketamine—a glutamatergic modulator—have shown great promise for rapidly treating patients with the most severe forms of depression. As such, ketamine represents a promising probe for understanding the pathophysiology of depression and treatment response. Through neuroimaging, ketamine’s mechanism may be elucidated in humans. Here, we review 47 articles of ketamine’s effects as outlined by neuroimaging studies. Taken together, some important brain areas emerge, especially the subgenual anterior cingulate cortex. Furthermore, ketamine may decrease the ability to self-monitor, increase emotional blunting, and increase activity in reward processing. However, further studies are necessary to elucidate ketamine’s mechanism of antidepressant action.

Keywords: Ketamine, Neuroimaging, Biomarkers, MRI, PET, MEG, Treatment-Resistant Depression

Introduction

Major depressive disorder (MDD) is devastating, serious, and prevalent. Treatment-resistant depression (TRD)—often defined as failure to respond to at least two standard antidepressant treatment trials of adequate dose and duration—encompasses up to 30% of patients with MDD.1 Not only is TRD highly debilitating for patients and their families, economic strain from TRD accounts for nearly $200 billion dollars a year from lost productivity. The more treatment failures a patient experiences, the less likely they are to respond to subsequent treatment trials—perpetuating the cycle of disability. For these reasons, it is critical to find fast and effective treatments for patients with TRD.

One such compound that holds promise for TRD is ketamine. While commonly thought of as a dissociative anesthetic, subanesthetic doses of ketamine stand out among other pharmacological interventions for MDD. While most commonly used psychiatric medications (e.g. SSRIs, SNRIs, TCAs, MAO inhibitors) require multiple weeks to take full effect, subanesthetic doses of ketamine have rapid (within hours), robust (across a variety of symptoms), and relatively sustained (typically up to one week) antidepressant effects—even in patients with TRD.25 Clinical studies show that about 50% of patients with TRD have a significant decrease in symptoms within 24 hours of a single intravenous subanesthetic ketamine dose.3

Animal models show that ketamine’s antidepressant effects are likely mediated by its antagonism of NMDA receptors through increased AMPA-mediated glutamatergic signaling. This triggers activation of intracellular synaptogenic pathways, most notably in the mTOR signaling pathway, which also has implications in many other psychiatric disorders.6 In fact, ketamine was first used to probe the glutamatergic system as it relates to the pathophysiology of schizophrenia. The original neuroimaging studies on ketamine’s mechanism were thus used as working models for schizophrenia because excess glutamate has been linked to the development of schizophrenia and psychosis.7

In terms of MDD, decreased glutamate has been noted in various prefrontal regions, including the dorsolateral prefrontal cortex (dlPFC), dorsomedial PFC (dmPFC), and the anterior cingulate cortex (ACC) when compared to controls.810 This makes ketamine an ideal treatment for MDD; by creating a surge in glutamate levels in regions of the brain that suffer from a glutamate deficit, ketamine may provide some normalization of glutamate levels in patients with MDD. This “glutamate surge” hypothesis has dominated as the primary theory of ketamine’s antidepressant mechanism.

However, the glutamate surge hypothesis is met with some controversy. Neuroimaging studies specifically examining how ketamine modulates glutamate and gamma-aminobutryic acid (GABA) have been reviewed.11 Despite the immediate glutamate surge during infusions, it is unclear if glutamate levels remain elevated post-infusion. One study finds increased glutamate levels in the ACC 35 minutes post infusion, and another found no change.12,13 Multiple studies attempted to find a correlation between antidepressant response and glutamate/GABA levels before, during, and after infusion.1416 However, no such correlations were found.

It is possible, then, that ketamine is acting indirectly to produce its antidepressant effect. Ketamine may work through additional receptors, as it is known to have effects on several opioid receptors, adrenergic receptors, and several serotonin and norepinephrine transporters.1719 It is also possible that acute dissociative side effects of ketamine may be mediating antidepressant response. In turn, it is equally possible that small sample sizes among studies utilizing ketamine prevent results from converging. Methodological differences and limitations may also play a role. Due to inconsistent results and ketamine’s heterogeneity of action, it is hard to elucidate the mechanism by which ketamine produces its rapid, robust and sustained antidepressant effects. Therefore, further research on ketamine’s antidepressant mechanism is needed and theories on the biological and clinical level need to be explored.

One salient biological metric that may provide insight into ketamine’s mechanism of action is dissociation. Dissociative side effects begin from infusion, reach a peak typically within an hour of infusion, and are completely diminished 230 minutes after infusion.20 One study has shown increased dissociation and psychotomimetic symptoms immediately following infusion may predict antidepressant response.20 Further neuroimaging research has the potential to not just inform scientists of ketamine’s antidepressant mechanism, but may inform clinicians as to who might best respond to ketamine as an antidepressant. Other biological metrics include baseline brain activity, psychotomimetic effects during infusion, and anxiety somatization levels.

The advent of advanced imaging techniques allows non-invasive investigations of neuronal activity in patients with TRD and healthy controls. These imaging results can then be correlated with not just glutamate and GABA levels, but clinical and biological metrics that could provide insight into how ketamine produces its antidepressant effect. Positron emission tomography (PET) and magnetic resonance spectroscopy (MRS) provide the most direct noninvasive methods to measure glutamatergic and GABA-ergic activity. They acquire full volumes of the brain at various time points during and after ketamine infusion. In turn, magnetoencephalogram (MEG) recordings measure small magnetic and electric changes in the brain through sensors placed at the scalp. While MEG is a more indirect measure of GABA and glutamate, it assesses brain function of all regions on a time scale that better reflects real-time neural activity. Functional magnetic resonance imaging (fMRI) and resting-state fMRI (rsfMRI) provide less temporal resolution than MEG (full brain volumes are only acquired every ~3 seconds), however provide more precise measurements of subcortical regions of the brain. This is important for studying regions such as the subgenual ACC (sgACC) and amygdala, as they are commonly targeted in MDD.21 MEG and fMRI also allow investigators to study how brain function changes as subjects undergo in-scanner tasks, such as passive viewing of faces, decision making, etc. Task-based fMRI and MEG can provide more ecologically valid information about what the brain does when faced with real-life situations. It can also tell us more about how the brain’s real-life performance is altered in patients with MDD. Finally, diffusion MRI and structural MRI enable tracking of how ketamine may change the brain’s anatomy and how structural connections change over time. This is of interest because rapidly induced synaptogenesis has been shown in preclinical models in response to ketamine.6

Thus, here we review current human neuroimaging literature as it pertains to ketamine’s mechanism of action in specific brain areas, with an emphasis on key regions that are implicated in the pathophysiology of MDD. We focus this review on treatment studies of patients with MDD. However, because there is very little literature that specifically examines ketamine’s actions in patients with MDD, we are including research with healthy volunteers. Research in healthy volunteers may enable us to understand how ketamine impacts neural organization and activity without psychopathology. We end by summarizing the results as they pertain to the neurobiology of depression and ketamine’s antidepressant effects. By understanding the biological basis of disease pathology and treatment response, the field of psychiatry has the potential to practice more precise medicine—ultimately with improvements in patient care and outcomes as a result.

Methods

A Medline search was conducted for articles through December 2016 using the following search terms: “depression and ketamine and neuroimaging,” “depression and ketamine and imaging,” “depression and ketamine and MRI,” “ketamine and neuroimaging,” “ketamine and imaging.” All articles reviewed were written and published in English and pertained to adult human research only. A total of 966 were initially found. After duplicate articles and non-human research papers were removed, 47 papers were found to be relevant to this review.

In this review, we segment the results into three sections: Ketamine and Neuroimaging in Depression, Ketamine in Non-Depressed Subjects: Non-Task Based Resting State Scans, and Ketamine in Non-Depressed: Task-Based Scans. Though most papers only examined one modality of imaging, several papers69 tackled more than one imaging technique.

Results

Ketamine and Neuroimaging in Depression

Thirteen papers were found to be relevant to ketamine’s effects in patients with unipolar depression, and two papers in patients with bipolar depression. (Table 1).

Table 1.

Ketamine Neuroimaging Studies in Depression (MRI, MEG, Spectroscopy)

Author(s) Scanning Details and Study Design Subjects and Ketamine Details Significant Findings*
(all p<0.05 unless otherwise noted)
Limitations
Murrough 201522 fMRI – 2 scans, pre-(baseline) and post-(24 hours) ketamine scans with two 8-min facial emotional perception tasks

OL ketamine given after baseline scan
n=18 with TRD and n=20 matched HVs

Racemic ketamine; 0.5mg/kg over 40 min
Ketamine enhanced neural responses to positive emotion in the right caudate in depressed patients compared to baseline deficits. Post-ketamine, greater connectivity to positive emotions was associated with improvements in depression severity No PBO comparator; only scanned at 24 hours post ketamine (no other time points); HVs only completed baseline
Abdallah 201623 rsfMRI — 2 scans pre and post ketamine, using GBCr to quantify functional connectivity measured by resting-state BOLD

Pre-(within 1 week of ketamine) and post-(24 hours) OL ketamine rsfMRI scans
n=18 MDD
(medication-free); n=25 HV

Racemic ketamine; 0.5mg/kg over 40 min
Ketamine significantly increased GBCr in the right lateral PFC and reduced GBCr in the left cerebellum. Ketamine responders had increased GBCr in the lateral PFC, caudate, and insula. MDD had decreased connectivity between PFC/subcortex and the rest of the brain, which normalized post-ketamine. High comorbidity of anxiety disorders in the sample; Short med free period (1 week); Small n; HVs only completed baseline scan
Downey 201624 3T phMRI – from 5 min before to 40 min during infusion

Randomized (ketamine vs. lanicemine vs. PBO), DB, parallel group design at 2 different sites. Clinical ratings completed at 24 hour and between day 8–11 post-ketamine
n=60 MDD
(n=20 lanicemine, n=21 ketamine, n=19 PBO)

Racemic ketamine; 0.5mg/kg over 60 min
Both ketamine and lanicemine increased BOLD signal in the sgACC; activation predicted depression improvements at 24 hours and 1 week post-ketamine. No significant change in BDI was observed post ketamine. No comparator HV group; Two sites (two different 3T machines, different clinician raters); Significant place response; Neither ketamine nor lanicemine groups significantly improved
Abdallah 201525 3T MRI – 2 scans, at baseline and 24-hour post-ketamine vs. midazolam

Randomized, DB, midazolam-controlled trial of ketamine
n=24 with TRD; all medication-free; (n=13 ketamine; n=6 midazolam)

Racemic ketamine; 0.5mg/kg over 40 min
Significant association between smaller left hippocampal volume at baseline had a greater antidepressant response to ketamine at 24 hours post-infusion No HV comparator; small n; no specific hippocampal regions targeted.
Vasavada 201626 DTI MRI – 1 scan ≤1-week pre-ketamine; measured the following as predictors of response: FA, RD, AD, and MD

Clinical treatment with OL ketamine
MDD patients (n=10) after ketamine (n=4 nonresponders, n=6 responders); HVs (n=15) did not receive ketamine

Racemic ketamine; 0.5mg/kg over 40 min
Improvements in depressive symptoms at 24 hours post-ketamine correlated with greater FA in the cingulum (projecting to the PFC), decreased MD and RD in forceps minor, and decreased RD in the frontostriatal track. Most patients (n=9) were not medication free; they were maintained on stable (≥6 months) standard antidepressant treatments; MRI was not done at a standardized time point; Small n
Salvadore 200927 MEG – 1 recording 1–2 days pre-ketamine, during rapid presentation of affective stimuli (fearful face pictures)

DB, PBO controlled ketamine study
n=11 with MDD; all medication free; and n=11 HV

Racemic ketamine; 0.5mg/kg over 40 min
Increased baseline (pre-ketamine cortical activity) to affective stimuli (fearful faces) in the ACC (especially the pgACC) and decreased amygdala activation predicted antidepressant response to ketamine at 4 hours post-infusion. Small n; Baseline MEG only; Evidence for decreased right amygdala activity is very weak.
Salvadore 201028 MEG – 2 recordings, during a working memory N-back task at 1–3 days prior to ketamine infusion and again post-ketamine

DB, PBO controlled ketamine study
n=15 with MDD; all were medication free

Racemic ketamine; 0.5mg/kg over 40 min
1. Subjects with the least pre-ketamine engagement of the pgACC with increasing memory load (2 vs 1 back) showed the greatest antidepressant improvement to ketamine at 4 hours post infusion
2. Those with the lowest coherence between pgACC and left amygdala were most likely to respond to ketamine

High pgACC activity in response to emotional activity and low pgACC in response to increased cognitive demands predicts an antidepressant response to ketamine. This is relatively normal, so preserving normality predicts better outcomes
Small n; Not generalizable (only medication-free inpatients); Baseline MEG only
Nugent 201629 MEG – 2 recordings, pre- and post-ketamine

OL ketamine
n=13 MDD

Racemic ketamine; 0.5mg/kg over 40 min
Decreased connectivity between amygdala and insulo-temporal region post-ketamine Small n; Riluzole given before post-ketamine scan; MEG used to study subcortical regions despite low spatial resolution
Cornwell 201232 MEG – 2 recordings occurred during a passive tactile stimulation to the index fingers on 3 days before and 6.5 hours after a single ketamine infusion

OL ketamine; all patients then received a dose of riluzole or placebo at 5–6 hours post ketamine
n=20 with MDD; all were medication free

Racemic ketamine; 0.5mg/kg over 40 min
In ketamine responders (at 4 hours), there was an increase in somatosensory cortical excitability responses (a measure of synaptic plasticity) compared to nonresponders. There was also a positive correlation between increased cortical excitability and norketamine levels. OL ketamine; Riluzole vs. PBO were administered just prior to MEG scanning
Lally 201533 18F-FDG PET – 2 scans at baseline (1–3 days prior to ketamine) and post-ketamine (beginning 2 hours post-ketamine and lasting through 3.5 hours post ketamine) to measure the rCMRGlu

OL ketamine followed by 1 month of oral riluzole or PBO; anhedonia assessed with SHAPS
n=20 with TRD; all medication free

Racemic ketamine; 0.5mg/kg over 40 min
Decreased anhedonia was associated with increased rCMRGlu in the hippocampus and dACC, and decreased rCMRGlu in the OFC Post-hoc; riluzole confounder; no PBO comparator
Ballard 201534 FDG PET -2 scans, at baseline (1–3 days prior to ketamine) and 2 hours post-ketamine and lasting about 1.5 hours.

OL ketamine
n=19 with TRD; all medication free
Racemic ketamine; 0.5mg/kg over 40 min
Suicidal ideation was correlated with increased metabolism in the infralimbic cortex at baseline, and decreased suicidal ideation post-ketamine were correlated with decreased regional cerebral glucose metabolism in the infralimbic cortex Post-hoc; baseline PET scans occurred on a different day than baseline suicide measures; SI measured on a 0–4 scale in HDRS.
Carlson 201335 18F-FDG PET – 2 scans, at baseline (1–3 days before ketamine) and 120-minutes post-ketamine

OL ketamine
n=20 with TRD; all were medication free

Racemic ketamine; 0.5mg/kg over 40 min
Whole brain glucose metabolism didn’t significant change post-ketamine. Decreased metabolism occurred in the right habenula, increased metabolism in the right amygdala, and no change in sgACC metabolism were found. These results were not correlatated with change in MADRS scores. Clinical improvement significantly correlated with increased metabolism in the STG, MTG, and cerebellum, and with decreased metabolism in the parahippocampal gyrus, inferior parietal cortex, and the more ventral and medial loci within the STG/MTG. Small n; OL; no HV comparators; post-hoc clinical correlations.
Lally 201436 18F-FDG PET – 1 scan, 120 min post-infusion to measure rCMRGlu; metabolism

Randomized, DB, crossover, PBO controlled study; two infusions given two weeks apart
n=21 bipolar depressed patients maintained on either lithium or depakote for ≥4 weeks prior to study

Racemic ketamine; 0.5mg/kg over 40 min
Decreased anhedonia was related to increased rCMRGlu in the dACC and putamen. Largest improvement in depressive symptoms correlate with largest metabolic increase in right ventral striatum post-ketamine compared to placebo. Small n; No baseline scans; Post-hoc analysis; Heterogeneity of bipolar types I and II within sample
Nugent 201437 18F-FDG PET – 1 scan 120 min post-infusion to measure rCMRGlu; metabolism

Randomized, DB, crossover, PBO controlled study; two infusions given two weeks apart
n=21 bipolar depressed patients maintained on either lithium or depakote for ≥4 weeks prior to study

Racemic ketamine; 0.5mg/kg over 40 min
Bipolar patients had significantly lower glucose metabolism in the left hippocampus following the ketamine infusion compared to after PBO.
Patients with the largest improvement in depression symptoms had the largest metabolic increase (rCMRGlu increase) in the right ventral striatum post-ketamine compared to PBO. Metabolism of the sgACC was positively correlated with improvements in depression scores following ketamine.
Small n; No HV comparator; No baseline scans; Heterogeneity of bipolar types I and II within sample
Milak 201615 3T 1H MRS. Six 1H MRS data frames were acquired (approximately 13 min each); one pre-ketamine, four during ketamine, and one post-ketamine n=11 med free MDD patients (8 female); 8 subjects’ data used for MRS

Racemic ketamine; 0.5mg/kg over 40 min
Rapid increases in the mPFC in both Glx (glutamate+glutamine) and GABA were observed during ketamine infusion, but dissipated by the end of the infusion. Small n

Among unipolar depression studies, several groups utilized fMRI. With regard to brain connectivity, one study found that in patients with TRD, ketamine increased neural responses to positive emotions in the right caudate; furthermore, greater connectivity in the right caudate post-ketamine was associated with improvements in depression severity.22 Another study by Abdallah and colleagues found that patients with MDD had reduced global brain connectivity (the average of the correlation between the BOLD time series of a voxel and all other gray matter voxels in the brain) in the prefrontal cortex compared to healthy volunteers at baseline, but increased global brain connectivity in the posterior cingulate, precuneus, lingual gyrus, and cerebellum. Ketamine significantly increased global brain connectivity in the right lateral PFC and reduced global brain connectivity in the left cerebellum. Furthermore, ketamine responders had increased connectivity in the lateral PFC, caudate, and insula compared to non-responders.23 Downey and colleagues recently found that ketamine increased blood oxygen level dependent (BOLD) signals in the sgACC. Activation of the sgACC predicted depression improvements at 24 hours and 1 week post-ketamine.24 However, this group had no significant antidepressant response to ketamine, as well as strong placebo response and significant baseline differences in depression severity between the ketamine and placebo groups.

With regard to structural MR results, Abdallah and colleagues found a significant association between smaller left hippocampal volumes at baseline and greater antidepressant responses to ketamine at 24 hours post-infusion in patients with depression.25 A diffusion MRI study found that at baseline, greater fractional anisotropy (a measure of connectivity strength in the principal axis of the structural connection) in the cingulum projecting the PFC, decreased mean diffusivity (MD, a measure of membrane density) and radial diffusivity (RD, a measure of myelination) in forceps minor, and decreased RD in the frontostriatal tract predicted improvements in depression symptoms 24 hours post ketamine.26

Other studies that utilized MEG provide more information about the role of the ACC. Salvadore and colleagues found that increased baseline cortical activity to fearful pictures in the ACC—especially the pregenual ACC (pgACC)—and decreased baseline amygdala activation predicted a greater antidepressant response to ketamine at 4 hours post-infusion.27 Another study from the same group examined baseline predictors of ketamine response during a working memory task. Patients who had the least pre-ketamine engagement of the pgACC with increasing memory load showed the greatest antidepressant improvement to ketamine at 4 hours post-infusion. In addition, those with the lowest coherence between pgACC and left amygdala were most likely to respond to ketamine.28 Since we would expect healthy controls to have high pgACC activity in response to emotional stimuli and low pgACC activity in response to increased cognitive demands, these data suggest that normal baseline activity in the pgACC predicts better antidepressant outcomes to ketamine.

In another MEG study, Nugent and colleagues found decreased connectivity between the amygdala and insulo-temporal regions post-ketamine.29 Cornwell and colleagues used a tactile stimulation task to indirectly gauge synaptic plasticity in the somatosensory cortex during MEG acquisition at 6.5 hours post-ketamine, since ketamine’s antidepressant effects may be the result of rapid increases in synaptic plasticity.30, 31 Indeed, responders at 4-hours post-infusion had an increase in somatosensory cortical excitability (a measure of synaptic plasticity) compared to non-responders.32

Several studies explored ketamine’s effects on whole brain metabolism using positron emission tomography (PET). Lally and colleagues at the NIMH found that decreased anhedonia post-ketamine was associated with increased metabolism in the hippocampus and the dorsal anterior cingulate cortex (dACC), and decreased metabolism in the orbitofrontal cortex (OFC).33 Another study from the same NIMH group found that decreased suicidal ideation scores post-ketamine correlated with decreased metabolism in the infralimbic cortex.34 Furthermore, Carlson and colleagues administered PET scans at 120 minutes post-ketamine and compared them to baseline scans. Decreased metabolism in the right habenula, right insula, right ventrolateral PFC, and dorsolateral PFC was found post-ketamine. Furthermore, clinical improvements significantly correlated with increased metabolism in the superior temporal gyrus (STG), middle temporal gyrus (MTG), and cerebellum, and with decreased metabolism in the parahippocampal gyrus and inferior parietal cortex.35

Two studies focused on bipolar depression using PET imaging. Lally and Nugent used PET scans at 120 minutes post-ketamine to measure metabolism in patients with bipolar depression; note, all patients in these studies were maintained on stable doses of either lithium or valproic acid. Specifically, Lally and colleagues found that decreased anhedonia correlated with increased metabolism in the dACC and putamen.36 Nugent and colleagues found that patients who received ketamine had significantly lower glucose metabolism in the left hippocampus compared to those who received placebo; furthermore, patients with the largest improvement in depression symptoms had the largest metabolic increase in the right ventral striatum post-ketamine compared to placebo. In addition, metabolism of the sgACC positively correlated with improvements in depression scores following ketamine.37

Ketamine in Non-Depressed Subjects: Non-Task Based Resting State Scans

Twenty-one resting state scan papers were found relevant to this review, mostly using MRI and MRS (see Table 2 and Table 4). From MRI studies, some highlights emerged. Several studies examined how ketamine affected cerebral blood flow (CBF). Two studies showed that ketamine reduced CBF in the hippocampus and increased CBF in the ACC and prefrontal regions.38, 39 Other studies found that ketamine reduced CBF in the OFC and sgACC.40,41 In one particular study, this reduction strongly predicted dissociation (r=0.90 with the Clinician Administered Dissociative States Scale (CADSS) scores).40 In another study, perceptual distortions and delusion ratings following ketamine correlated with increased BOLD response in the parietal cortex.41

Table 2.

Resting State Scans and Non-Task Scans (Non-Depressed Populations)

Author(s) Scanning Details and Study Design Subjects and Ketamine Details Significant Findings*
(all p<0.05 unless otherwise noted)
Limitations
Deakin 200840 phMRI BOLD – starting 8 minutes and 8 minutes during the infusion

Two experiments: DB, PBO controlled, randomized, crossover, counterbalanced orders. First experiment was ketamine vs. PBO; second experiment was ketamine following pre-treatment (2 hours before) with lamotrigine 300mg vs. PBO
Male right handed healthy volunteers in experiment 1 (n=20) and experiment 2 (n=19)

Racemic ketamine; 0.26mg/kg for 1 minute bolus, then 0.25mg/kg/hr maintenance
Ketamine caused an immediate and focal reduction in sgACC and OFC blood flow; this strongly predicted dissociation (r=0.90 with CADSS scores). Furthermore, ketamine increased activity in the mid-posterior cingulate cortex, thalamus, and temporal cortical regions. Lamotrigine prevented many of the BOLD signal changes.
Stone 201541 3T phMRI—15-minute scan with ketamine starting at minute 5

OL within-subjects design
Male healthy volunteers (n=13), ages 18–50 years old

Racemic ketamine; 0.26mg/kg for 20 seconds followed by 0.42mg/kg/hr
Ketamine led to decreases in BOLD response in sgACC and widespread cortical and subcortical increases in BOLD response in the cingulate gyrus, hippocampus, insula, thalamus, and midbrain.
Perceptual distortions and delusion ratings correlated with increased BOLD response in the parietal cortex.
Small n
Doyle 201371

Shcherbinin 201572
rs-phMRI71 and ASL72

Randomized, PBO controlled, partial crossover design. Four scanning visits separated by at least 2 weeks apart. Sessions were as follows: PO risperidone/IV ketamine; PO lamotrigine/IV ketamine; PO PBO/ketamine; PO PBO/IV saline
Male healthy volunteers (n=16 completers)

Racemic ketamine; Bolus ~0.12mg/kg for the first minute, then 0.31mg/kg/hr for about 20 min (BOLD resting state occurred for 15 min and ASL scanning occurred for 5 more min after start of infusion)
phMRI: Pre-treatment with lamotrigine and risperidone resulted in attenuation of ketamine-induced increases in BOLD signal (including medial prefrontal and cingulate regions and thalamic areas).

ASL: Ketamine increased perfusions of the prefrontal and cingulate cortices, thalamus, and lateral parietal cortex. Pretreatment with risperidone, but not lamotrigine, significantly increased the ketamine induced perfusion changes.
Pharmacological dose – response curve for ketamine is only based on a few subjects.
Scheidegger 201243 3T rsfMRI—2 scans, at baseline and 24 hours post infusion.

Randomized, DB, PBO controlled, crossover study. Ketamine and PBO infusions separated by 10 days.
Healthy volunteers (n=17)

IV S-ketamine; 0.25mg/kg over 45
Ketamine decreases resting state functional network connectivity in healthy subjects; specifically, ketamine disrupted connectivity between the pgACC and the mPFC and the bilateral dmPFC) 24 hours after ketamine. Healthy controls were used to make inferences about networks commonly disrupted in MDD. As such, inferences about antidepressant effect could not be made.
Bonhomme 201644 3T rsfMRI – 1 scan during ketamine infusion

Ketamine dose gradually increased to reach deeper levels of sedation during the scanning session.
Healthy volunteers (n=8) analyzed

Racemic ketamine; dose varied based on depth of sedation
Increased depth of sedation with increased ketamine doses correlated significantly with decreased connectivity in the mPFC with the DMN.

Thalamo-cortical connectivity remains relatively preserved, but corticocortical connections were disrupted with ketamine.
Small n; heart rate and respiration not directly taken into account in analysis (though CO2 was). Multiple-seed ROI approach may bias results. Order of conditions was not randomized due to ketamine’s long recovery time.
Grimm 201545 3T rsfMRI – 1 scan post infusion

DB, PBO-controlled, randomized; single IV infusion
Healthy volunteers (n=24); 12 males and 12 females

Racemic ketamine; 0.5mg/kg over 40 min
Hyperconnectivity between the PFC and the left hippocampus occurred after acute ketamine challenge. It is unclear what (if any) scrubbing methods were used for rsfMRI.
Hoflich 201648 3T rsfMRI – 1 scan during infusion

DB, PBO-controlled, randomized, crossover trial of IV ketamine in the scanner.

Infusion was administered 10 minutes after the start of the 50-minute scan; the first 5 minutes of the scan were infusion-free resting state scans, followed by 5 minutes of saline infusion).
Healthy volunteers (n=30); 15 males and 15 females (Because of scanner trouble, full data was available for only 5 patients)

S-ketamine; 0.11mg/kg 1 min bolus followed by 0.12mg/kg over 19 minutes
Compared to PBO, ketamine increases neural activation in the bilateral MCC, ACC, and insula, as well as the right thalamus. Pharmacological dose – response curve for ketamine is only based on a few subjects.
Wong 201664 3T rsfMRI—1 scan, 15 minute scan with IV ketamine started at the 5 minute point Male healthy volunteers (n=13)

Racemic ketamine; 0.26mg/kg rapid bolus over 20 seconds and then 0.42mg/kg/hr infusion
Following ketamine, there was a significant reduction in sgACC coupling with the hippocampus, RSC, and thalamus. Healthy controls were used to make inferences about brain regions implicated in MDD. As such, inferences about antidepressant effect could not be made. Participants were studied 5min after infusion, and antidepressant effects are typically not seen for 1–2hrs post infusion.
Joules 201470 3T MRI – 2 scans, pre and post infusion

DB, PBO controlled, crossover design of four sessions, each separated by 10 days. IV session was in the scanner. Sessions were as follows: PO PBO/IV ketamine, PO PBO/IV saline, PO Risperdal, IV ketamine, and PO lamotrigine/IV ketamine
Male healthy volunteers (n=16), all right handed

Racemic ketamine; IV form given as 0.12mg/kg over 1 minute followed by 0.31mg/kg/hr
Ketamine significantly altered whole brain connectivity compared to PBO.
Specifically, ketamine produced a shift from cortically-centered to subcortically-centered patterns of connections. This effect was modulated by pre-treatment with risperidone, but not lamotrigine, suggesting that the connectivity pattern shifts are due to NMDAR blockage (rather than downstream glutamatergic effects).
Measures of degree centrality (the metric used to determine whole brain connectivity) cannot be used to examine region-to-region coupling. As such, some important differences in connectivity may go undetected.
Niesters 201238

Khalili-Mahani 201473 (Biomarker study)
3T rsfMRI – 1 scan followed by PCASL measurement

First study: Single blind, randomized, PBO controlled crossover study of IV S-ketamine vs. placebo during scanning. Scans separated by at least 1 week. Pain was also assessed with a noxious heat stimuli

Second study was a biomarkers study: examine biomarkers on the extent to which ketamine infusion mimics a stress response
Male healthy volunteers (n=12)

S-ketamine; 20mg/70kg/hr for 1 hour, then 40mg/70kg/hr for 1 hour
Ketamine increased connectivity in the cerebellum and visual cortex in relation to the medial visual network.
Ketamine decreased connectivity in the auditory and somatosensory networks in relation to regions of pain sensing and affective processing of pain (amygdala, insula, and ACC).
Ketamine caused a transient change in CBF; there was increased brain function in the prefrontal brain regions and decreased brain function in the hippocampal, visual, and parietal regions
Ketamine induced hyperconnectivity in hippocampal networks vulnerable to mood and cognitive disorders

Biomarkers:
There were increased cortisol levels with the higher dose of ketamine within 30 minutes of starting the infusion; robust cortisol response was associated with perfusion of the hippocampus and hippocampal head connectivity
It is unclear what (if any) scrubbing methods were used for rsfMRI (Niesters 2012).
Lahti 199539 PET/MR – 2 scans, pre-and post-infusion

DB, PBO controlled; Four administrations occurred over 2 weeks at the following doses: ketamine at three different doses vs. placebo
Patients with schizophrenia (n=9) maintained on stable haloperidol doses

Racemic ketamine; 0.1 mg/kg, 0.3mg/kg, and 0.5mg/kg
Ketamine significantly increased rCBF in the ACC and reduced rCBF in the visual cortex and hippocampus. Small n; Study was published in 1995.
Taylor 201213 3T proton MRS

PBO-controlled, parallel group design; IV ketamine
Healthy volunteers (n=17); 11 male and 6 female

Racemic ketamine; 0.5mg/kg over 40 minutes
No significant difference between ketamine and PBO in Glx or Glutamate concentrations in the ACC. The study only tested one voxel in the sgACC, therefore changes in Glu/Glx in other parts of the brain may go undetected. n=11. H-MRS does not measure glutamate release directly and instead measures glutamine, which is an index of turnover of synaptic glutamate involved in neurotransmission.
Rowland 200574 4T proton MRS

DB, PBO-controlled, crossover; 2 scanning sessions separated by 1–2 weeks
Male healthy volunteers (n=9 analyzed)

Racemic ketamine; 0.27mg/kg loading dose over 10 minutes, then 0.00225mg/kg/min maintenance for the rest of the experiment (up to 2 hours)
Ketamine significantly increased ACC glutamine (a putative marker of glutamate release) compared to PBO. Small n; H-MRS does not measure glutamate release directly and instead measures glutamine, which is an index of turnover of synaptic glutamate involved in neurotransmission.
Kraguljac 201646 3T MRS (to measure hippocampal Glx) and rsfMRI (to measure hippocampal connectivity)

Ketamine IV was given in the scanner
Healthy volunteers (n=15) completed; 10 males and 5 females

Racemic ketamine; 0.27mg/kg bolus over 10 min then 0.25mg/kg/hr for approximately 60 minutes
Ketamine induced an increase in hippocampal Glx, a decrease in frontotemporal and temporo-parietal functional connectivity, and a possible link between connectivity changes and elevated Glx. Small n; placebo control group was not included. A one-sided t-test was used based on previous results from schizophrenia patients.
Muthukumaraswamy 201547 MEG – Two different experiments

Exp. 1: Two MEG experiments on 2 days (ketamine vs. placebo); 5 min resting state MEG, then infusion

Exp. 2: 10 minute resting state MEG
Male healthy volunteers
(n=19 in Exp. 1 and n=6 in Exp. 2)

Racemic ketamine

Exp 1: 0.25mg/kg bolus over 1 min, then 0.375mg/kg/hr maintenance infusion for 10 minutes

Exp 2: Same dose as Exp. 1 but with maintenance infusion for 20 minutes
Ketamine decreased NMDA- and AMPA-mediated frontal-to-parietal connectivity; specifically, ketamine caused a decrease in posterior alpha band power, an increase in prefrontal theta band power, and widespread increases in gamma band power. The dynamic causal modeling (DCM) approach used here found significant frontoparietal connectivity changes. However, power correlations fail to replicate this result.

Table 4.

Studies with Both Resting State Scans and Task Scans (Non-Depressed Populations)

Author(s) Scanning Details and Study Design Subjects and Ketamine Details Significant Findings*
(all p<0.05 unless otherwise noted)
Lehmann 201642 3T fMRI – 1 scan with IAPS task, and rsfMRI

DB, PBO-controlled, two-arm study. Arm 1: Baseline scan and 24-hour follow-up scan post-PBO. Arm 2: Baseline scan and 24-hour follow-up scan post-ketamine. Baseline scans were at least 10 days prior to the follow-up scan.
Healthy volunteers (n=17)

S-ketamine; 0.25mg/kg
Resting State: Ketamine reduced functional connectivity between the pACC and the dPCC; this reduction in connectivity correlated significantly with increased psychotomimetic effects during the infusion.

IAPS task: Increased BOLD reactivity in the pgACC (but not the posterior control regions) were observed during the negative pictures in the ketamine group. The increase in BOLD reactivity was more pronounced for subjects with a low ability to apply distraction during negative experiences.
Scheidegger 201650 3T fMRI during task and rsfMRI

One baseline scan and one scan during an OL ketamine infusion. Ketamine was started 15 minutes before the scan start and during the 25-minute MRI scan. Patients completed both resting state and an emotional IAPS task.
Healthy volunteers (n=23)

S-ketamine; 0.12mg/kg bolus followed by continuous 0.25mg/kg/hr infusion
Ketamine attenuated task-induced activation in the amygdalo-hippocampal complex during the emotional task; specifically, reductions in BOLD reactivity was more marked in response to negative pictures compared to neutral or positive pictures, suggesting that the processing of negative information is specifically altered in response to ketamine7

Also, reduced amygdala activity to negative pictures was correlated with resting state connectivity to the pregenual ACC

Increased intensity of psychedelic side effects of consciousness during ketamine predicted the reduction in neuronal responsiveness to negative (but not neutral or positive) pictures.
Abel 200352 and Abel 200353 1.5T fMRI during task and rsfMRI

Randomized, DB, PBO controlled; 2 scans separated by at least 1 week during resting state and cognitive/emotional facial recognition task
Male healthy volunteers (n=8)

Racemic ketamine; 0.23mg/kg bolus over 5 minutes, then 0.5mg/kg for 40 more minutes
Ketamine significantly decreased activation in the middle occipital gyrus and precentral gyrus compared to PBO.

In the PBO group, several brain areas (amygdala, visual processing areas and cerebellum) were significantly activated during fearful faces; ketamine only significantly activated the left superior occipital gyrus during fearful faces.

With regard to rsfMRI, one study found that ketamine decreased connectivity in the auditory and somatosensory networks in relation to regions of physical and affective processing of pain (e.g., amygdala, insula, and ACC).38 During another study, ketamine reduced functional connectivity between the pACC and the dPCC; this reduction in connectivity correlated significantly with increased psychotomimetic effects during the infusion.42 Ketamine decreased functional network connectivity in healthy subjects; specifically, ketamine disrupted connectivity between the pgACC, mPFC, and the bilateral dmPFC 24 hours after infusion.43 One study examined the effects of ketamine on brain connectivity with increasing levels of sedation (awake, mildly sedated, heavily sedated). Increased levels of sedation correlated significantly with decreased connectivity in the mPFC with the Default Mode Network (DMN) and also between the left executive control network and the right executive control network. Thalamo-cortical connectivity remained relatively preserved.44 Ketamine also had significant effects on hippocampal connectivity. One rsfMRI study found that ketamine induced hyperconnectivity in hippocampal networks vulnerable to mood and cognitive disorders.38 Moreover, another study observed that hyperconnectivity between the PFC and the left hippocampus occurred after acute ketamine challenge.45

MRS techniques have also implicated ketamine’s role in brain connectivity and hippocampal function. Ketamine induced an increase in hippocampal Glx (glutamate+glutamine—an indication of enhanced excitatory neurotransmission), a decrease in fronto-temporal and temporo-parietal functional connectivity. This suggests a possible link between connectivity changes and elevated Glx. These data suggest that NMDA receptor hypofunction may lead to elevated hippocampal glutamatergic transmission and alterations in resting-state network.46 Ketamine was found to decrease NMDA- and AMPA-mediated frontal-to-parietal connectivity.47

One study imaged participants using fMRI during both a ketamine infusion and placebo infusion. They analyzed a ketamine – placebo contrast and found that, compared to placebo, BOLD activation increased during the ketamine condition in the bilateral middle cingulate cortex, ACC, and insula, as well as the right thalamus.48

Finally, with regard to MEG, one study found increased gamma-power during the infusion while beta band activity was decreased. This effect was noted in the thalamus, hippocampus, and fronto-cortical regions. Connectivity, as measured by transfer entropy (how much information is transferred from a source to a target process), increased within the thalamo-cortical network. This study’s results highlight a potential contribution of the thalamo-cortical pathways in ketamine’s initial neuronal dysregulation.49

Ketamine in Non-Depressed: Task-Based Scans

Fifteen task-based scan papers were found, fourteen of which used fMRI (see Table 3 and Table 4). Several studies examined ketamine’s effects during and after emotion tasks. In one study, ketamine attenuated task-induced activation in the amygdalo-hippocampal complex; specifically, reductions in BOLD activation were more marked in response to negative pictures compared to neutral or positive pictures. Furthermore, increased intensity of the acute psychedelic side effects on consciousness during ketamine predicted the reduction in neuronal responsiveness to negative (but not neutral or positive) pictures. The authors suggested that perhaps the emotional blunting (“attenuated limbic hyperactivity”) during dissociation plays a role in the alleviation of negative bias in people with depression (though no patients with depression were actually included in the study).50

Table 3.

Task-Based Scans (Non-Depressed Populations)

Author(s) Scanning Details and Study Design Subjects and Ketamine Details Significant Findings*
(all p<0.05 unless otherwise noted)
Significant Limitations
Francois 201675 3T fMRI reward task

DB, randomized, PBO-controlled study; a reward task occurred at 40 minutes after the start of the infusion.
Healthy volunteers (n=24)

Racemic ketamine; 0.5mg/kg over 40 min
Ketamine significant attenuated the ventral striatum response to the task, particularly the nucleus accumbens, compared to PBO. BOLD data was not coregistered to each subject’s individual T1 weighted scan; this could pose a problem with coregistering small regions such as the NAc and ventral striatum.
Scheidegger 201651 3T fMRI

One baseline scan 2 days prior to the OL ketamine session and scan. Subjects completed a working memory N-back task in the scan sessions.
Healthy volunteers (n=23); 12 male, 11 female

S-ketamine; 0.12mg/kg bolus at 25 minutes prior to task, followed by a continuous infusion of 0.25mg/kg/hr during the entire scan and task period
Ketamine significantly reduced BOLD activation in the right insula (regardless of emotional valence of the task); there was a reduction in BOLD activity exclusively to negative stimuli in the left insula and right DLPFC. Only included up to 2-back in their working memory task, and results may be a result of a ceiling effect.
Driesen 201357 3T fMRI

Subjects received PBO followed by ketamine while completing working memory tasks in the scanner.
Right-handed healthy volunteers (n=22); 14 were male and 8 were female

Racemic ketamine; 0.23mg/kg for a 1 minute bolus, then 0.58mg/kg/hr during the scan session
Ketamine impaired working memory performance.
Ketamine reduced task related activation in the PFC during the spatial task (especially during the encoding and early maintenance phase).
Ketamine also reduced connectivity during task in the network brain areas involved in working memory. Reductions in activation and connectivity were related to performance.
Scans were not randomized and contained long sessions; results may be due to participant fatigue.
Nagels 201158 3T fMRI BOLD

DB, PBO-controlled, counterbalanced study. Subjects completed verbal fluency tasks during the infusions in the scanner.
Male healthy volunteers (n=15)

S-ketamine; 8mg bolus for 5 minutes, then continuous infusion at 0.01mg/kg/min for approximately 1 hour
Ketamine induced a general impairment of verbal fluency. During the phonic verbal fluency task, several brain regions (left temporal gyrus, superior frontal gyrus to middle frontal gyrus, medial frontal gyrus, and left inferior parietal lobe) were more activated by ketamine.
During the lexical verbal fluency task, the right frontal and left supramarginal regions were activated significantly more with ketamine.
No female participants.
Stone 201154 1.5T fMRI BOLD

DB, PBO controlled, randomized study. Two scan sessions separated by at least 1 day. Subjects completed a verbal task.
Male healthy volunteers (n=8)

Racemic ketamine; 0.23mg/kg bolus, then 0.64mg/kg/hr
Ketamine lead to impaired self-monitoring performance. This was related to reduced activation in the left superior temporal cortex during self-distorted speech (misattribution errors). Small n; H-MRS does not measure glutamate release directly and instead measures glutamine, which is an index of turnover of synaptic glutamate involved in neurotransmission. No female participants
Fu 200578 1.5T fMRI BOLD

DB, PBO-controlled, crossover study. Infusions and scans were separated by at least 1 day. Subjects completed a verbal fluency task with two conditions: easy and hard.
Male healthy volunteers (n=10)

Racemic ketamine; bolus of 0.23 mg/kg over 30 seconds, then 0.65mg/kg for approximately 1 hour
Ketamine did not significantly impair task performance compared to PBO.
However, during ketamine, greater activations occurred in areas related to verbal fluency (ACC, prefrontal, and striatal regions) during the easy vs. hard condition.
Small n; No female participants.
Honey 200456 (working memory)

Honey 200556 (episodic memory)
3T fMRI BOLD

DB, PBO controlled, randomized, within subjects comparison study. Three sessions occurred: one was PBO and two were at different doses of IV ketamine (7 days apart). Subjects completed a memory tasks
Healthy volunteers (n=12)

Racemic ketamine; infusions was done to reach a ketamine level of 50ng/ml or 100ng/ml, depending on which randomization day. Note, both were considered subanesthetic doses
Working Memory study: Ketamine increased activation in frontoparietal regions (dlPFC, bilateral ventrolateral areas, bilateral parietal cortices, ACC, putamen, and caudate nucleus) compared to PBO during a working memory task in the manipulation of verbal information phase of the task at the easiest point.

Episodic Memory study: Ketamine increased activation of the left PFC to deeply encoded items.
Correctly identified items under ketamine were associated with increased activation of the right PFC during encoding compared to incorrectly identified items. Items incorrectly identified at retrieval were associated with increased activation of the right PFC and hippocampus under ketamine, but not PBO.
Rogers 200479 3T fMRI BOLD

Ketamine was administered at subanalgesic (50ng/mL) and analgesic/subanesthetic (200ng/mL) concentrations to subjects in the MRI scanner compared to PBO. Each infusion was 24 minutes and was administered as saline-ketamine-ketamine. Subjects experienced noxious stimuli spread throughout the experiment.
Male healthy volunteers (n=8); average age was 28 years old

Racemic ketamine; Ketamine was administered at increasing doses in a stepwise manner following PBO as follows: 50 ng/mL was administered at a rate of 0.18mg/kg/hr over 24 minutes; 200ng/mL was administered at a rate of 0.71mg/kg/hr over 24 minutes
High doses of ketamine produced a significant decrease in pain scores compared to PBO. This decrease correlated with significantly decreased activity in the insular cortex and thalamus. Decreases in activity of the ACC and primary sensory cortex were also found, but were statistically insignificant. Small n; No female participants.
Musso 201177 3T fMRI BOLD with simultaneous EEG

Randomized, DB, PBO controlled crossover trial. Infusions occurred at least 1 week apart. Subjects completed a visual oddball task.
Male healthy volunteers (n=24); 2 subjects were left-handed.

S-ketamine; 0.1mg/kg over the first 5 minutes, then 0.015625mg/kg/min for up to 1 hour in the scanner (with reductions in admin of 10% every 10 minutes)
There was a strong reduction in the P300 amplitude at the parietal electrode position Pz in the ketamine condition compared to PBO. No female participants.
Shaw 201576 MEG

Single blind, PBO controlled, crossover study. Infusions scheduled at least 2 weeks apart to allow for washout. 90 minute MEG scan with visuomotor task was completed during pre-ketamine and ketamine infusion in order to measure changes in oscillatory dynamics.
Male healthy volunteers (n=18 with data available); ages ranged from 18–45 years old

Racemic ketamine; 0.25mg/kg bolus for the first minute, then 0.25mg/kg over 40 minutes
Ketamine-mediated NMDAR antagonism reduced peak gamma frequency in the visual cortex and increased the amplitude of gamma oscillation in the motor and visual cortices. Furthermore, beta frequency event related desynchronization was reduced in both motor and visual cortices. No female participants.

During a different emotional pictures task, increased BOLD activation was observed 24-hours post-ketamine infusion in the pgACC (but not the posterior control regions) during the negative picture viewing blocks. However, the increase in BOLD activation was more pronounced in subjects with a low ability to apply distraction during the negative experiences.42 In another emotion task, ketamine significantly reduced BOLD activation in the right insula regardless of emotional valence of the task; there was a reduction in BOLD activation exclusively to negative stimuli in the left insula and right DLPFC.51 Compared to placebo (in which several brain areas—amygdala, visual processing areas, and cerebellum—significantly activated during a fearful faces task), the ketamine group only significantly activated the left superior occipital gyrus.52, 53 These data are somewhat related to another study in which ketamine led to impaired self-monitoring, which was related to reduced activation in the left superior temporal cortex. Together, these data suggest that the NMDA receptor may be involved in the production of the impaired self-monitoring that occurs during hallucinatory or delusional experiences.54

Several studies examined ketamine’s effects on working memory. In one study, ketamine increased activation in fronto-parietal regions (dlPFC, bilateral ventrolateral areas, bilateral parietal cortices, ACC, putamen, and caudate nucleus) compared to placebo during the task phase of manipulation of verbal information (at the easiest point).55 In another study, ketamine increased activation of the left PFC to deeply encoded items during an episodic memory task. Specifically, correctly identified items during ketamine were associated with increased activation of the right PFC during encoding compared to incorrectly identified items. Items incorrectly identified at retrieval were associated with increased activation of the right PFC and hippocampus under ketamine, but not placebo.56 In contrast, in one study, ketamine impaired working memory performance. Ketamine reduced task-related activation in the PFC during a spatial task, especially during the encoding and early maintenance phase. Ketamine also reduced connectivity during the task in the network brain areas involved in working memory. Reductions in activation and connectivity were related to performance.57

Finally, one study found that ketamine induced a general impairment of verbal fluency. During the phonic verbal fluency task, several brain regions (left temporal gyrus, superior frontal gyrus to middle frontal gyrus, medial frontal gyrus, and left inferior parietal lobe) were more activated by ketamine compared to other conditions. During the lexical verbal fluency task, the right frontal and left supramarginal regions were activated significantly more with ketamine.58

Discussion

Although the extant neuroimaging literature on ketamine’s effects is in its early stages, certain themes have emerged. First, we review our findings of convergent brain regions implicated in MDD and how ketamine modulates those areas. Specifically, the sgACC has been a region of interest in many previous studies. In relation to emotion and cognition, ketamine appears to reduce brain activation in regions associated with self-monitoring, increase neural regions associated with emotional blunting, and increase neural activity in reward processing.

Overall, ketamine’s effects were most notably found in the sgACC, PCC, PFC, and hippocampus. These areas overlap with the growing body of neuroimaging literature that implicates abnormalities of certain brain networks in the pathophysiology of depression (specifically, the dorsal and subgenual ACC, amygdala, hippocampus, and ventral striatum).5963 The sgACC in particular has been a frequently studied area of interest in MDD and ketamine. In healthy male volunteers, rsfMRI and phMRI done during ketamine infusion found significant reduction in sgACC coupling with hippocampus, RSC, and thalamus. Immediate reductions in sgACC blood flow and focal reductions in OFC blood flow strongly predicted dissociation.40,64 However, some other imaging studies of the sgACC seem to provide contradictory results. NIMH studies using PET 120 min post infusion have found that increased metabolism in the sgACC was positively correlated with improvements in depression scores post ketamine.37 However, a different PET study in MDD found no change in sgACC metabolism post ketamine.35 These inconsistent results not just indicate the need for larger, more controlled studies, but also may suggest that the timing of the scan matters. Changes in sgACC activation may be related to ketamine’s acute side effects, which begin during infusion, reach a peak typically within an hour of infusion, and are completely diminished 230 minutes after infusion. Following this, perhaps sgACC activation decreases during and immediately after ketamine, but changes a few hours post infusion.

Analysis of resting state scans in healthy volunteers further suggests that dissociation may be responsible for ketamine’s antidepressant effects because it may disconnect the excessive aversive visceromotor state on cognition and self—a hallmark of depression.40 Related, one study found that ketamine may dampen brain regions involved in rumination via reduction of the functional connectivity between the pACC and the dPCC.42 Ketamine also disrupts the “hyperconnectivity” of the DMN (e.g., by decreasing connectivity between the mPFC and DMN) found in patients with MDD. DMN hyperconnectivity is commonly associated with increased rumination.31,44 This study also found decreased connectivity between the left and right executive control networks, which are involved in internal and external sensory processing.65 One ongoing study (ClinicalTrials.gov ID: NCT02544607) aims to investigate this further in patients with TRD before and after a ketamine infusion. In other words, these studies suggest that ketamine causes a “disconnect” in several circuits related to affective processing, perhaps by shifting focus away from the internal states of anxiety, depression, and somatization and more towards the perceptual changes induced by ketamine. Similarly, during an emotional task, ketamine attenuated responses to negative pictures, suggesting that the processing of negative information is specifically altered in response to ketamine.50 By taking the focus off of “oneself” and placing the focus on other stimuli, perhaps ketamine decreases awareness during negative experiences.

Perhaps most interesting is ketamine’s effects on brain connectivity as it relates to self-monitoring behaviors. Reduced connectivity between the pACC and dPCC was associated with increased dissociation during infusion, and reduced activation in the left superior temporal cortex was associated with impaired self-monitoring.42, 54 Such self-monitoring is disruptive to patients with psychotic illness—especially those with chronic symptoms of psychosis. However, perhaps the transient dissociation experienced by depressed patients during a ketamine infusion is essential for dampening what could be considered as hyperactive self-monitoring that results from depressive illness.

During ketamine administrations, subjects experience emotional blunting, which may be associated with reduced limbic responses to emotional stimuli.52, 53 Perhaps by decreasing the activity of deep limbic structures (thought to be involved in the pathophysiology of depression, such as the amygdala), ketamine acutely alleviates the emotional resources required to perpetuate the symptoms of depression.

Ketamine may play a role in reactivating reward areas of the brain in patients with MDD. This may be especially important, as reward areas in MDD have been characterized by decreased subcortical and limbic activity and an increased cortical response to reward paradigms.66 In resting-state scans, BOLD activation in the cingulate gyrus, hippocampus, insula, thalamus, and midbrain increased after ketamine.41 In addition, ketamine increases neural activation in the bilateral MCC, ACC, and insula, as well as the right thalamus.48 Activation of these areas is consistent with activation of reward processing areas, suggesting that ketamine may play a role in activation of reward neurocircuitry.66

Though convergence onto a specific brain area is elusive in depression, ketamine affects different areas of the brain in various ways, which may contribute to overall mood improvements. For example, at baseline, patients with MDD had reduced global connectivity in the PFC and increased connectivity in the posterior cingulate, precuneus, lingual gyrus, and cerebellum compared to healthy volunteers; responders had increased connectivity in the lateral PFC, caudate, and insula post ketamine.23 Perhaps this represents ketamine’s ability to reclaim frontal control over deeper limbic structures, thus resulting in the ability to have more cognitive control of emotions that enables a decrease in depression symptoms. Similarly, TRD patients had reduced insula and caudate responses to positive emotions at baseline compared to healthy volunteers, which normalized in the caudate post-ketamine.22 Furthermore, while one study showed increased connectivity in the lateral PFC, caudate, and insula in ketamine responders, another found decreased connectivity between the amygdala and insulo-temporal regions.23,29 Improvements are correlated with increased metabolism in the hippocampus, dACC, and decreased metabolism in the OFC.33 Yet another group found that improvements correlated with increased metabolism in the STG/MTG and cerebellum, and decreased metabolism in the parahippocampal gyrus and inferior parietal cortex.35 Further investigation of these seemingly sporadic results may provide further insight into ketamine’s antidepressant effects.

Several limitations in this review warrant discussion. First, it is hard to extrapolate information about ketamine’s antidepressant properties from the extant literature, because the majority of published studies are from healthy volunteers. Second, most of the task-based healthy volunteer studies used male volunteers only. Third, most of the studies completed have very low numbers of participants; the depression study with the most number of participants was still only 24 subjects. Given the immense heterogeneity of depression, further studies with larger sample sizes will be necessary in order to capture the full range of patients with depression. Fourth, it is still difficult to chronologically parse out which findings occur due to ketamine’s mechanism alone versus which changes are due to alterations in mood post ketamine. This may be especially relevant to ketamine imaging due to its rapid antidepressant effect (within hours). Fifth, although most studies used racemic ketamine, several others used the S-ketamine enantiomer. This may be an important difference because S-ketamine may have greater affinity to the NMDA receptor than its enantiomer, R-ketamine.67 Finally, it is important to note that most depression studies use subanesthetic ketamine doses of 0.5mg/kg over 40 minutes because this dose effectively treats depression. However, many studies with non-depressed patients used alternative doses. Though a study for ketamine’s optimal antidepressant dose was recently completed (ClinicalTrials.gov ID: NCT01920555), the results are pending. Nonetheless, these reasons make it difficult to generalize the results of this review to large patient populations with depression.

Further research is necessary to uncover ketamine’s antidepressant mechanism of action and address the aforementioned limitations. This may be particularly helpful as it may uncover new working models of the biological substrates of depression and enable new drug discovery. Specifically, based on this review, future studies may focus on ketamine’s action in the sgACC, PCC, PFC, and hippocampus as regions of interest. Furthermore, it has been suggested that depression is the result of underactive prefrontal and limbic mood regulation networks and over-reactive subcortical limbic networks involved in emotional and visceral responses.68 Perhaps these network abnormalities in depression—and their resulting improvements with treatment—can be further elucidated with the use of ketamine. Indeed, ketamine’s remarkable rapid, robust, and sustained antidepressant effects are considered to be “arguably the most important discovery in half a century” for depression research.31 Given this, ketamine’s potential use for uncovering important advances in depression research are very promising.

Acknowledgments

Conflicts of Interests, Disclosures, and Sources of Funding

Dawn Ionescu: Research funding from the NIMH (K23-MH107776), Brain and Behavior Research Foundation (NARSAD Young Investigator Award), MGH Executive Committee on Research (ECOR).

Cristina Cusin: Receives funding from NIMH (R01MH102279) and consultant fees and research support from Janssen Pharmaceuticals.

Thilo Deckersbach: Research has been funded by NIH, NIMH, NARSAD, TSA, IOCDF, Tufts University, DBDAT, Cogito Corporation, Sunovion, Otsuka Pharmaceuticals, and Harvard Medical School. He has received honoraria, consultation fees and/or royalties from the MGH Psychiatry Academy, BrainCells Inc., Clintara, LLC., Systems Research and Applications Corporation, Boston University, the Catalan Agency for Health Technology Assessment and Research, the National Association of Social Workers Massachusetts, the Massachusetts Medical Society, Tufts University, NIDA, NIMH, Oxford University Press, Guilford Press, and Rutledge. He has also participated in research funded by DARPA, NIH, NIMH, NIA, AHRQ, PCORI, Janssen Pharmaceuticals, The Forest Research Institute, Shire Development Inc., Medtronic, Cyberonics, Northstar, and Takeda.

Benjamin Shapero: Research has been funded by NIMH and the Louis V. Gerstner Family Foundation.

Julia Felicione: None

Aishwarya Gosai: None

Philip Shin: None

Abbreviations

ACC

anterior cingulate cortex

AD

axial diffusivity

ASL

arterial spin labeling

BOLD

blood oxygen level dependent

CADSS

Clinician Administered Dissociative States Scale

dACC

dorsal anterior cingulate cortex

DB

double-blind

dlPFC

dorsolateral prefrontal cortex

DMN

default mode network

DTI

diffusion tensor imaging

FA

fractional anisotropy

fMRI

functional magnetic resonance imaging

GABA

gamma-Aminobutyric acid

GBCr

global brain connectivity signal regression

Glx

glutamate+glutamine

HV

healthy volunteer

MCC

midcingulate cortex

MD

mean diffusivity

MDD

major depressive disorder

MEG

magnetoencephalography

mPFC

medial prefrontal cortex

MRI

magnetic resonance imaging

MRS

magnetic resonance spectroscopy

MTG

middle temporal gyrus

NMDA

N-methyl-D-aspartate

RD

radial diffusivity

OFC

orbitofrontal cortex

OL

open label

PBO

placebo

PCASL

pseudocontinuous arterial spin labeling

phMRI

pharmaco magnetic resonance imaging

PFC

prefontal cortex

rCBF

regional cerebral blood flow

rCMRGlu

regional cerebral metabolic rate of glucose

RSC

retrosplenial cortex

rsfMRI

resting state functional magnetic resonance imaging

rsfcMRI

resting state functional connectivity magnetic resonance imaging

sgACC

subgenual anterior cingulate cortex

SHAPS

Snaith–Hamilton Pleasure Scale

STG

superior temporal gyrus

TRD

treatment resistant depression

vlPFC

ventrolateral prefrontal cortex

WM

white matter

References

  • 1.Mrazek DA, Hornberger JC, Altar CA, Degtiar I. A review of the clinical, economic, and societal burden of treatment-resistant depression: 1996–2013. Psychiatric services. 2014;65:977–87. doi: 10.1176/appi.ps.201300059. [DOI] [PubMed] [Google Scholar]
  • 2.Kohrs R, Durieux ME. Ketamine: Teaching an old drug new tricks. Anesth Analg. 1998;87:1186–1193. doi: 10.1097/00000539-199811000-00039. [DOI] [PubMed] [Google Scholar]
  • 3.Zarate CA, Jr, Singh JB, Carlson PJ, Brutsche NE, Ameli R, Luckenbaugh DA, et al. A randomized trial of an N-methyl- D-aspartate antagonist in treatment-resistant major depression. Arch Gen Psychiatry. 2006;63:856–864. doi: 10.1001/archpsyc.63.8.856. [DOI] [PubMed] [Google Scholar]
  • 4.Iadarola ND, Niciu MJ, Richards EM, et al. Ketamine and other N-methyl-D-aspartate receptor antagonists in the treatment of depression: a perspective review. Ther Adv Chronic Dis. 2015;6:97–114. doi: 10.1177/2040622315579059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Abdallah CG, Averill LA, Krystal JH. Ketamine as a promising prototype for a new generation of rapid-acting antidepressants. Ann N Y Acad Sci. 2015;1344:66–77. doi: 10.1111/nyas.12718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Li N, Lee B, Lui R-J, Banasr M, Dwyer JM, Iwata X-Y, Aghajanian G, Duman RS. mTOR dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science. 2010;329:959–64. doi: 10.1126/science.1190287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kraguljac NV, White DM, Reid MA, Lahti AC. Increased hippocampal glutamate and volumetric deficits in unmedicated patients with schizophrenia. JAMA psychiatry. 2013;70:1294–302. doi: 10.1001/jamapsychiatry.2013.2437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Yildiz-Yesiloglu A, Ankerst DP. Review of 1H magnetic resonance spectroscopy findings in major depressive disorder: A meta-analysis. Psychiatry Res. 2006;147:1–25. doi: 10.1016/j.pscychresns.2005.12.004. [DOI] [PubMed] [Google Scholar]
  • 9.Hasler G, van der Veen JW, Tumonis T, Meyers N, Shen J, Drevets WC. Reduced prefrontal glutamate/glutamine and gammaaminobutyric acid levels in major depression determined using proton magnetic resonance spectroscopy. Arch Gen Psychiatry. 2007;64:193–200. 24. doi: 10.1001/archpsyc.64.2.193. [DOI] [PubMed] [Google Scholar]
  • 10.Auer DP, Putz B, Kraft E, Lipinski B, Schill J, Holsboer F. Reduced glutamate in the anterior cingulate cortex in depression: An in vivo proton magnetic resonance spectroscopy study. Biol Psychiatry. 2000;47:305–313. doi: 10.1016/s0006-3223(99)00159-6. [DOI] [PubMed] [Google Scholar]
  • 11.Lener MS, Niciu MJ, Ballard ED, Park M, Park LT, Nugent AC, Zarate CA., Jr Glutamate and Gamma-Aminobutyric Acid Systems in the Pathophysiology of Major Depression and Antidepressant Response to Ketamine. Biological Psychiatry. 2017;81:886–97. doi: 10.1016/j.biopsych.2016.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Stone JM, Dietrich C, Edden R, Mehta MA, De Simoni S, Reed LJ, et al. (2012): Ketamine effects on brain GABA and glutamate levels with 1H-MRS: Relationship to ketamine-induced psychopathology. Mol Psychiatry. 2012;17:664–665. doi: 10.1038/mp.2011.171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Taylor MJ, Tiangga ER, Mhuircheartaigh RN, Cowen PJ. Lack of effect of ketamine on cortical glutamate and glutamine in healthy volunteers: A proton magnetic resonance spectroscopy study. J Psychopharmacol. 2012;26:733–737. doi: 10.1177/0269881111405359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Salvadore G, van der Veen JW, Zhang Y, Marenco S, Machado-Vieira R, Baumann J, et al. An investigation of amino-acid neurotransmitters as potential predictors of clinical improvement to ketamine in depression. Int J Neuropsychopharmacol. 2012;15:1063–1072. doi: 10.1017/S1461145711001593. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Milak MS, Proper CJ, Mulhern ST, et al. A pilot in vivo proton magnetic resonance spectroscopy study of amino acid neurotransmitter response to ketamine treatment of major depressive disorder. Mol Psychiatry. 2016;21:320–7. doi: 10.1038/mp.2015.83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Valentine GW, Mason GF, Gomez R, Fasula M, Watzl J, Pittman B, et al. The antidepressant effect of ketamine is not associated with changes in occipital amino acid neurotransmitter content as measured by 1H-MRS. Psychiatry Res. 2011;191:122–127. doi: 10.1016/j.pscychresns.2010.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Bergman SA. Ketamine: review of its pharmacology and its use in pediatric anesthesia. Anesth Prog. 1999;46:10–20. [PMC free article] [PubMed] [Google Scholar]
  • 18.Chen X, Shu S, Bayliss DA. HCN1 channel subunits are a molecular substrate for hypnotic actions of ketamine. J Neurosci. 2009;29:600–609. doi: 10.1523/JNEUROSCI.3481-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Stahl SM. (2013) Mechanism of action of ketamine. CNS Spectr. 2013;18:171–174. doi: 10.1017/S109285291300045X. [DOI] [PubMed] [Google Scholar]
  • 20.Luckenbaugh DA, Niciu MJ, Ionescu DF, Nolan NM, Richards EM, Brutsche NE, Guevara S, Zarate CA. Do the Dissociative Side Effects of Ketamine Mediate Its Antidepressant Effects? Journal of Affective Disorders. 2014;159:56–61. doi: 10.1016/j.jad.2014.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Mayberg HS, Liotti M, Brannan SK, McGinnis S, Mahurin RK, Jerabek PA, Silva JA, Tekell JL, Martin CC, Lancaster JL, Fox PT. Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness. American Journal of Psychiatry. 1999;156:675–682. doi: 10.1176/ajp.156.5.675. [DOI] [PubMed] [Google Scholar]
  • 22.Murrough JW, Collins KA, Fields J, et al. Regulation of neural responses to emotion perception by ketamine in individuals with treatment-resistant major depressive disorder. Translational psychiatry. 2015;5:e509. doi: 10.1038/tp.2015.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Abdallah CG, Averill LA, Collins KA, et al. Ketamine Treatment and Global Brain Connectivity in Major Depression. Neuropsychopharmacology: official publication of the American College of Neuropsychopharmacology. 2016 doi: 10.1038/npp.2016.186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Downey D, Dutta A, McKie S, et al. Comparing the actions of lanicemine and ketamine in depression: key role of the anterior cingulate. Eur Neuropsychopharmacol. 2016;26:994–1003. doi: 10.1016/j.euroneuro.2016.03.006. [DOI] [PubMed] [Google Scholar]
  • 25.Abdallah CG, Salas R, Jackowski A, Baldwin P, Sato JR, Mathew SJ. Hippocampal volume and the rapid antidepressant effect of ketamine. Journal of psychopharmacology. 2015;29:591–5. doi: 10.1177/0269881114544776. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Vasavada MM, Leaver AM, Espinoza RT, et al. Structural connectivity and response to ketamine therapy in major depression: A preliminary study. Journal of affective disorders. 2016;190:836–41. doi: 10.1016/j.jad.2015.11.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Salvadore G, Cornwell BR, Colon-Rosario V, et al. Increased anterior cingulate cortical activity in response to fearful faces: a neurophysiological biomarker that predicts rapid antidepressant response to ketamine. Biological psychiatry. 2009;65:289–95. doi: 10.1016/j.biopsych.2008.08.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Salvadore G, Cornwell BR, Sambataro F, et al. Anterior cingulate desynchronization and functional connectivity with the amygdala during a working memory task predict rapid antidepressant response to ketamine. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2010;35:1415–22. doi: 10.1038/npp.2010.24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Nugent AC, Robinson SE, Coppola R, Zarate CA., Jr Preliminary differences in resting state MEG functional connectivity pre- and post-ketamine in major depressive disorder. Psychiatry Res. 2016;254:56–66. doi: 10.1016/j.pscychresns.2016.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Duman RS. Pathophysiology of depression and innovative treatments: remodeling glutamatergic synaptic connections. Dialogues Clin Neurosci. 2014;16:11–27. doi: 10.31887/DCNS.2014.16.1/rduman. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Duman RS, Aghajanian GK. Synaptic dysfunction in depression: potential therapeutic targets. Science. 2012;338:68–72. doi: 10.1126/science.1222939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Cornwell BR, Salvadore G, Furey M, et al. Synaptic potentiation is critical for rapid antidepressant response to ketamine in treatment-resistant major depression. Biological psychiatry. 2012;72:555–61. doi: 10.1016/j.biopsych.2012.03.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Lally N, Nugent AC, Luckenbaugh DA, Niciu MJ, Roiser JP, Zarate CA., Jr Neural correlates of change in major depressive disorder anhedonia following open-label ketamine. Journal of psychopharmacology. 2015;29:596–607. doi: 10.1177/0269881114568041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Ballard ED, Lally N, Nugent AC, Furey ML, Luckenbaugh DA, Zarate CA., Jr Neural correlates of suicidal ideation and its reduction in depression. The international journal of neuropsychopharmacology / official scientific journal of the Collegium Internationale Neuropsychopharmacologicum. 2014:18. doi: 10.1093/ijnp/pyu069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Carlson PJ, Diazgranados N, Nugent AC, et al. Neural correlates of rapid antidepressant response to ketamine in treatment-resistant unipolar depression: a preliminary positron emission tomography study. Biological psychiatry. 2013;73:1213–21. doi: 10.1016/j.biopsych.2013.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Lally N, Nugent AC, Luckenbaugh DA, Ameli R, Roiser JP, Zarate CA. Anti-anhedonic effect of ketamine and its neural correlates in treatment-resistant bipolar depression. Translational psychiatry. 2014;4:e469. doi: 10.1038/tp.2014.105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Nugent AC, Diazgranados N, Carlson PJ, et al. Neural correlates of rapid antidepressant response to ketamine in bipolar disorder. Bipolar disorders. 2014;16:119–28. doi: 10.1111/bdi.12118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Niesters M, Khalili-Mahani N, Martini C, et al. Effect of subanesthetic ketamine on intrinsic functional brain connectivity: a placebo-controlled functional magnetic resonance imaging study in healthy male volunteers. Anesthesiology. 2012;117:868–77. doi: 10.1097/ALN.0b013e31826a0db3. [DOI] [PubMed] [Google Scholar]
  • 39.Lahti AC, Holcomb HH, Medoff DR, Tamminga CA. Ketamine activates psychosis and alters limbic blood flow in schizophrenia. Neuroreport. 1995;6:869–72. doi: 10.1097/00001756-199504190-00011. [DOI] [PubMed] [Google Scholar]
  • 40.Deakin JF, Lees J, McKie S, Hallak JE, Williams SR, Dursun SM. Glutamate and the neural basis of the subjective effects of ketamine: a pharmaco-magnetic resonance imaging study. Archives of general psychiatry. 2008;65:154–64. doi: 10.1001/archgenpsychiatry.2007.37. [DOI] [PubMed] [Google Scholar]
  • 41.Stone J, Kotoula V, Dietrich C, De Simoni S, Krystal JH, Mehta MA. Perceptual distortions and delusional thinking following ketamine administration are related to increased pharmacological MRI signal changes in the parietal lobe. Journal of psychopharmacology. 2015;29:1025–8. doi: 10.1177/0269881115592337. [DOI] [PubMed] [Google Scholar]
  • 42.Lehmann M, Seifritz E, Henning A, et al. Differential effects of rumination and distraction on ketamine induced modulation of resting state functional connectivity and reactivity of regions within the default-mode network. Soc Cogn Affect Neurosci. 2016;11:1227–35. doi: 10.1093/scan/nsw034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Scheidegger M, Walter M, Lehmann M, et al. Ketamine decreases resting state functional network connectivity in healthy subjects: implications for antidepressant drug action. PloS one. 2012;7:e44799. doi: 10.1371/journal.pone.0044799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Bonhomme V, Vanhaudenhuyse A, Demertzi A, et al. Resting-state Network-specific Breakdown of Functional Connectivity during Ketamine Alteration of Consciousness in Volunteers. Anesthesiology. 2016;125:873–88. doi: 10.1097/ALN.0000000000001275. [DOI] [PubMed] [Google Scholar]
  • 45.Grimm O, Gass N, Weber-Fahr W, et al. Acute ketamine challenge increases resting state prefrontal-hippocampal connectivity in both humans and rats. Psychopharmacology (Berl) 2015;232:4231–41. doi: 10.1007/s00213-015-4022-y. [DOI] [PubMed] [Google Scholar]
  • 46.Kraguljac NV, Frolich MA, Tran S, et al. Ketamine modulates hippocampal neurochemistry and functional connectivity: a combined magnetic resonance spectroscopy and resting-state fMRI study in healthy volunteers. Mol Psychiatry. 2016 doi: 10.1038/mp.2016.122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Muthukumaraswamy SD, Shaw AD, Jackson LE, Hall J, Moran R, Saxena N. Evidence that Subanesthetic Doses of Ketamine Cause Sustained Disruptions of NMDA and AMPA-Mediated Frontoparietal Connectivity in Humans. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2015;35:11694–706. doi: 10.1523/JNEUROSCI.0903-15.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Hoflich A, Hahn A, Kublbock M, et al. Ketamine-dependent neuronal activation in healthy volunteers. Brain Struct Funct. 2016 doi: 10.1007/s00429-016-1291-0. [DOI] [PubMed] [Google Scholar]
  • 49.Rivolta D, Heidegger T, Scheller B, Sauer A, Schaum M, Birkner K, Singer W, Wibral M, Uhlhaas PJ. Ketamine Dysregulates the Amplitude and Connectivity of High-Frequency Oscillations in Cortical-Subcortical Networks in Humans: Evidence From Resting-State Magnetoencephalography-Recordings. Schizophrenia Bulletin. 2015;41:1105–14. doi: 10.1093/schbul/sbv051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Scheidegger M, Henning A, Walter M, et al. Ketamine administration reduces amygdalo-hippocampal reactivity to emotional stimulation. Hum Brain Mapp. 2016;37:1941–52. doi: 10.1002/hbm.23148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Scheidegger M, Henning A, Walter M, et al. Effects of ketamine on cognition-emotion interaction in the brain. Neuroimage. 2016;124:8–15. doi: 10.1016/j.neuroimage.2015.08.070. [DOI] [PubMed] [Google Scholar]
  • 52.Abel KM, Allin MP, Kucharska-Pietura K, et al. Ketamine and fMRI BOLD signal: distinguishing between effects mediated by change in blood flow versus change in cognitive state. Hum Brain Mapp. 2003;18:135–45. doi: 10.1002/hbm.10064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Abel KM, Allin MP, Kucharska-Pietura K, et al. Ketamine alters neural processing of facial emotion recognition in healthy men: an fMRI study. Neuroreport. 2003;14:387–91. doi: 10.1097/00001756-200303030-00018. [DOI] [PubMed] [Google Scholar]
  • 54.Stone JM, Abel KM, Allin MP, et al. Ketamine-induced disruption of verbal self-monitoring linked to superior temporal activation. Pharmacopsychiatry. 2011;44:33–48. doi: 10.1055/s-0030-1267942. [DOI] [PubMed] [Google Scholar]
  • 55.Honey RA, Honey GD, O’Loughlin C, et al. Acute ketamine administration alters the brain responses to executive demands in a verbal working memory task: an FMRI study. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2004;29:1203–14. doi: 10.1038/sj.npp.1300438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Honey GD, Honey RA, O’Loughlin C, et al. Ketamine disrupts frontal and hippocampal contribution to encoding and retrieval of episodic memory: an fMRI study. Cereb Cortex. 2005;15:749–59. doi: 10.1093/cercor/bhh176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Driesen NR, McCarthy G, Bhagwagar Z, et al. The impact of NMDA receptor blockade on human working memory-related prefrontal function and connectivity. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2013;38:2613–22. doi: 10.1038/npp.2013.170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Nagels A, Kirner-Veselinovic A, Krach S, Kircher T. Neural correlates of S-ketamine induced psychosis during overt continuous verbal fluency. Neuroimage. 2011;54:1307–14. doi: 10.1016/j.neuroimage.2010.08.021. [DOI] [PubMed] [Google Scholar]
  • 59.Price JL, Drevets WC. Neural circuits underlying the pathophysiology of mood disorders. Trends Cogn Sci. 2012;16:61–71. doi: 10.1016/j.tics.2011.12.011. [DOI] [PubMed] [Google Scholar]
  • 60.Phillips ML, Chase HW, Sheline YI, et al. Identifying predictors, moderators, and mediators of antidepressant response in major depressive disorder: neuroimaging approaches. The American journal of psychiatry. 2015;172:124–38. doi: 10.1176/appi.ajp.2014.14010076. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Mayberg HS, Brannan SK, Tekell JL, et al. Regional metabolic effects of fluoxetine in major depression: serial changes and relationship to clinical response. Biological psychiatry. 2000;48:830–43. doi: 10.1016/s0006-3223(00)01036-2. [DOI] [PubMed] [Google Scholar]
  • 62.Hamani C, Mayberg H, Stone S, Laxton A, Haber S, Lozano AM. The subcallosal cingulate gyrus in the context of major depression. Biological psychiatry. 2011;69:301–8. doi: 10.1016/j.biopsych.2010.09.034. [DOI] [PubMed] [Google Scholar]
  • 63.Drevets WC, Price JL, Simpson JR, Jr, et al. Subgenual prefrontal cortex abnormalities in mood disorders. Nature. 1997;386:824–7. doi: 10.1038/386824a0. [DOI] [PubMed] [Google Scholar]
  • 64.Wong JJ, O’Daly O, Mehta MA, Young AH, Stone JM. Ketamine modulates subgenual cingulate connectivity with the memory-related neural circuit-a mechanism of relevance to resistant depression? PeerJ. 2016;4:e1710. doi: 10.7717/peerj.1710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Buckner RL, Andrews-Hanna JR, Schacter DL. The brain’s default network: Anatomy, function, and relevance to disease. Ann NY Acad Sci. 2008;1124:1–38. doi: 10.1196/annals.1440.011. [DOI] [PubMed] [Google Scholar]
  • 66.Zhang WN, Chang SH, Guo LY, Zhang KL, Wang J. The neural correlates of reward-related processing in major depressive disorder: a meta-analysis of functional magnetic resonance imaging studies. Journal of affective disorders. 2013;151:531–9. doi: 10.1016/j.jad.2013.06.039. [DOI] [PubMed] [Google Scholar]
  • 67.Muller J, Pentyala S, Dilger J, Pentyala S. Ketamine enantiomers in the rapid and sustained antidepressant effects. Ther Adv Psychopharmacol. 2016;6:185–92. doi: 10.1177/2045125316631267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Drevets WC, Price JL, Furey ML. Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression. Brain Struct Funct. 2008;213:93–118. doi: 10.1007/s00429-008-0189-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Walter M, Li S, Demenescu LR. Multistage drug effects of ketamine in the treatment of major depression. Eur Arch Psychiatry Clin Neurosci. 2014;264(Suppl 1):S55–65. doi: 10.1007/s00406-014-0535-3. [DOI] [PubMed] [Google Scholar]
  • 70.Joules R, Doyle OM, Schwarz AJ, et al. Ketamine induces a robust whole-brain connectivity pattern that can be differentially modulated by drugs of different mechanism and clinical profile. Psychopharmacology (Berl) 2015;232:4205–18. doi: 10.1007/s00213-015-3951-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Doyle OM, De Simoni S, Schwarz AJ, et al. Quantifying the attenuation of the ketamine pharmacological magnetic resonance imaging response in humans: a validation using antipsychotic and glutamatergic agents. The Journal of pharmacology and experimental therapeutics. 2013;345:151–60. doi: 10.1124/jpet.112.201665. [DOI] [PubMed] [Google Scholar]
  • 72.Shcherbinin S, Doyle O, Zelaya FO, de Simoni S, Mehta MA, Schwarz AJ. Modulatory effects of ketamine, risperidone and lamotrigine on resting brain perfusion in healthy human subjects. Psychopharmacology (Berl) 2015;232:4191–204. doi: 10.1007/s00213-015-4021-z. [DOI] [PubMed] [Google Scholar]
  • 73.Khalili-Mahani N, Niesters M, van Osch MJ, et al. Ketamine interactions with biomarkers of stress: a randomized placebo-controlled repeated measures resting-state fMRI and PCASL pilot study in healthy men. Neuroimage. 2015;108:396–409. doi: 10.1016/j.neuroimage.2014.12.050. [DOI] [PubMed] [Google Scholar]
  • 74.Rowland LM, Bustillo JR, Mullins PG, et al. Effects of ketamine on anterior cingulate glutamate metabolism in healthy humans: a 4-T proton MRS study. The American journal of psychiatry. 2005;162:394–6. doi: 10.1176/appi.ajp.162.2.394. [DOI] [PubMed] [Google Scholar]
  • 75.Francois J, Grimm O, Schwarz AJ, et al. Ketamine Suppresses the Ventral Striatal Response to Reward Anticipation: A Cross-Species Translational Neuroimaging Study. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2016;41:1386–94. doi: 10.1038/npp.2015.291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Shaw AD, Saxena N, L EJ, Hall JE, Singh KD, Muthukumaraswamy SD. Ketamine amplifies induced gamma frequency oscillations in the human cerebral cortex. Eur Neuropsychopharmacol. 2015;25:1136–46. doi: 10.1016/j.euroneuro.2015.04.012. [DOI] [PubMed] [Google Scholar]
  • 77.Musso F, Brinkmeyer J, Ecker D, et al. Ketamine effects on brain function–simultaneous fMRI/EEG during a visual oddball task. Neuroimage. 2011;58:508–25. doi: 10.1016/j.neuroimage.2011.06.045. [DOI] [PubMed] [Google Scholar]
  • 78.Fu CH, Abel KM, Allin MP, et al. Effects of ketamine on prefrontal and striatal regions in an overt verbal fluency task: a functional magnetic resonance imaging study. Psychopharmacology (Berl) 2005;183:92–102. doi: 10.1007/s00213-005-0154-9. [DOI] [PubMed] [Google Scholar]
  • 79.Rogers R, Wise RG, Painter DJ, Longe SE, Tracey I. An investigation to dissociate the analgesic and anesthetic properties of ketamine using functional magnetic resonance imaging. Anesthesiology. 2004;100:292–301. doi: 10.1097/00000542-200402000-00018. [DOI] [PubMed] [Google Scholar]

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