Michal Povazan1,2, Manoj Doss3,4, Alan K Davis3,4,5, Matthew W Johnson3,4, Roland R Griffits3,4,6, Peter B Barker1,2, and Frederick S Barrett3,4
1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Center for Psychedelic and Consciousness Research, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5College of Social Work, The Ohio State University, Columbus, OH, United States, 6Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
Synopsis
Recent studies have shown that the administration of
psilocybin may reduce depression severity. A role of glutamate was hypothesized
in the antidepressant efficacy, however the exact neurobiological mechanisms
remain unknown. Proton MR spectroscopy enables a valuable insight into
glutamatergic metabolism and provides information about other important
neuronal markers such as N-acetylaspartate.
Here, we have utilized STEAM MR spectroscopy at 7T to
observe the changes of cortical metabolites after psilocybin administration in
patients with major depressive disorder. Two high dose sessions of psilocybin
decreased glutamate and NAA levels of the anterior cingulate in the cohort.
Introduction
Recent reports have shown that a small number of
psilocybin administrations (1-3 doses) under supportive conditions may greatly
reduce depression severity for up to 6 months in patients with treatment
resistant depression1 and patients with depression and anxiety
secondary to a cancer diagnosis2,3. No other depression therapy, including therapy
with the NMDA antagonist ketamine, has been shown to exert such profound and sustained effects with such a limited
intervention. A role for glutamate in antidepressant efficacy was suggested by
the rapid antidepressant effects of ketamine4,5, and recent proton magnetic resonance imaging
studies have identified abnormalities in glutamatergic neurometabolite levels
in patients with depression6. Preclinical evidence suggests that
antidepressant effects of both ketamine and psilocybin may depend on
glutamate-induced neuroplasticity7. However, neither a specific role for
glutamate, nor more general underlying neurobiological mechanisms, of enduring
antidepressant effects of psychedelics have been empirically studied in humans.
The current study utilized proton magnetic resonance spectroscopy at 7T to test
the hypothesis that cortical glutamate concentrations would change after
psilocybin administration in a cohort of patients with major depressive
disorder (MDD).Methods
In a randomized, waitlist-controlled trial
(ClinicalTrials.gov: NCT03181529), 24 patients diagnosed with MDD (16F/8M; mean
age=40 [range=20-59]) completed two psilocybin administration sessions
(20mg/70kg and 30mg/70kg; separated by approximately 2 weeks), under
psychologically supportive conditions. Three weeks prior to the first session
(pre-psilocybin) and one week after the second session (post-psilocybin),
patients completed 1H-MRS scans on a 7 T Philips Achieva MR system
with dual-transmit 32-channel receive array head coil using a short-TE STEAM
sequence (TE/TR = 14ms/3s; NT = 128; bandwidth = 5000Hz; VAPOR water
suppression). Water-unsuppressed spectra were acquired with similar parameters
and NT=2. Separate measurements were made in three voxels (Fig.1): anterior
cingulate (ACC; 30x20x20mm3), and left and right hippocampus
(35x15x15mm3). Spectra were pre-processed using an in-house
developed software based on FID-A8 and quantified with LCModel 6.39
modeling the spectrum from 0.5 to 4.2 ppm. Basis sets consisted of 20
metabolites generated using custom-built fully localized density matrix
simulations10. Macromolecules were simulated in LCModel (NSIMUL=12).
Signal of total creatine was used as an internal standard. The ratios of
glutamate to creatine and NAA to creatine were compared between time points
using paired T tests.Results
Spectra showed overall good spectral quality
with mean CRLBs[%] of 3.9(NAA), 4.6(Glutamate), 2.9(total creatine), 6.7(total
Choline) and 5.9(myo-inositol). However, spectra from left/right hippocampus
showed higher variability especially in the 4-3 ppm region (Fig.2). Two
datasets were excluded from further analysis due to low SNR. One week after the
second psilocybin session, patients with depression had decreased glutamate (t(19) = 2.50, p = .022, d = .56) and N-acetylaspartate
(t(19) = 3.14, p = .005, d = .70)
metabolite levels compared to baseline (Fig.3 and 4) in the anterior cingulate.
No differences in metabolite levels were found between pre- and post-psilocybin
treatment in the left or right hippocampus (all ts < 1.25, all ps >
.200). Improvements in depression, as measured by the Hamilton Depression
Rating Scale, were observed one week after the second psilocybin session(t(19)
= 11.54, p < .001, d = 2.58).Discussion
Two high dose sessions of psilocybin decreased glutamate and
NAA levels of the anterior cingulate in patients with depression. This
particular region of the anterior cingulate is a hub of the salience network, a
network known to be dysfunctional in depression and predictive of clinical
response to antidepressants11. Glutamate and NAA levels have been
found to be related in the past12 and are thought to reflect
neuronal metabolism. Prior studies of neuroleptics in other conditions such as
schizophrenia have also been reported to lower brain glutamate levels13.Conclusion
Reductions in markers of neuronal metabolism in
the anterior cingulate may be a novel marker of improvements in depression, but
may also be a ‘side effect’ of psilocybin treatment, as patients with
depression tend to have reduced neuronal function in this region. Future work
will be needed to see if this reduction modulates other neural changes that may
be relevant to improving depressive symptomology.Acknowledgements
No acknowledgement found.References
1. Carhart-Harris RL, Nutt DJ.
Question-based Drug Development for psilocybin - Authors’ reply. Lancet
Psychiatry 2016;3(9):807.
2. Griffiths RR, Johnson MW, Carducci MA,
et al. Psilocybin produces substantial and sustained decreases in depression
and anxiety in patients with life-threatening cancer: A randomized double-blind
trial. J Psychopharmacol (Oxford) 2016;30(12):1181–97.
3. Ross S, Bossis A, Guss J, et al. Rapid
and sustained symptom reduction following psilocybin treatment for anxiety and
depression in patients with life-threatening cancer: a randomized controlled
trial. J Psychopharmacol (Oxford) 2016;30(12):1165–80.
4. Sanacora G, Zarate CA, Krystal JH, Manji
HK. Targeting the glutamatergic system to develop novel, improved therapeutics
for mood disorders. Nat Rev Drug Discov 2008;7(5):426–37.
5. Zanos P, Thompson SM, Duman RS, Zarate
CA, Gould TD. Convergent Mechanisms Underlying Rapid Antidepressant Action. CNS
Drugs 2018;32(3):197–227.
6. Moriguchi S, Takamiya A, Noda Y, et al.
Glutamatergic neurometabolite levels in major depressive disorder: a systematic
review and meta-analysis of proton magnetic resonance spectroscopy studies. Mol
Psychiatry 2019;24(7):952–64.
7. Vollenweider FX, Kometer M. The
neurobiology of psychedelic drugs: implications for the treatment of mood
disorders. Nat Rev Neurosci 2010;11(9):642–51.
8. Simpson, R., Devenyi, G. A., Jezzard, P., Hennessy, T. J.
& Near, J. Advanced processing and simulation of MRS data using the FID
appliance (FID-A) - An open source, MATLAB-based toolkit. Magn. Reson. Med.
77, 23–33 (2017).
9. Provencher, S.
W. Automatic quantitation of localized in vivo 1H spectra with LCModel. NMR
Biomed. 14, 260–4 (2001).
10. Berrington, A. et
al. Improved localisation for 2-hydroxyglutarate detection at 3T using
long-TE semi-LASER. Tomogr. a J.
imaging Res. 2, 94–105 (2016).
11. Sikora M, Heffernan J,
Avery ET, Mickey BJ, Zubieta J-K, Peciña M. Salience Network Functional
Connectivity Predicts Placebo Effects in Major Depression. Biological
Psychiatry: Cognitive Neuroscience and Neuroimaging 2016;1(1):68–76.
12. Petroff OA, Errante LD, Rothman DL, Kim JH, Spencer DD.
Ann Neurol. 2002 Nov;52(5):635-42
13. Marsman A, van den Heuvel MP, Klomp DW, Kahn RS, Luijten
PR, Hulshoff Pol HE.
Schizophr Bull. 2013 Jan;39(1):120-9.