Ketamine induces multiple individually distinct whole-brain functional connectivity signatures

Authors

Flora Moujaes, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Jie Lisa Ji, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Masih Rahmati, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Joshua B. Burt, Department of Physics, Yale University, Boston, United States.
Charles Schleifer, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States.
Brendan D. Adkinson, Interdepartmental Neuroscience Program, Yale University, New Haven, United States.
Aleksandar Savic, Department of Psychiatry, University of Zagreb, Zagreb, Croatia.
Nicole Santamauro, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Zailyn Tamayo, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Caroline Diehl, Department of Psychology, University of California, Los Angeles, Los Angeles, United States.
Antonija Kolobaric, Center of Neuroscience, University of Pittsburgh, Pittsburgh, United States.
Morgan Flynn, Department of Psychiatry, Vanderbilt University Medical Center, Nashville, United States.
Nathalie Rieser, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland.
Clara Fonteneau, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Terry Camarro, Magnetic Resonance Research Center, Yale University School of Medicine, New Haven, United States.
Junqian Xu, Department of Radiology and Psychiatry, Baylor College of Medicine, Houston, United States.
Youngsun Cho, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Grega Repovs, Department of Psychology, University of Ljubljana, Ljubljana, Slovenia.
Sarah K. Fineberg, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Peter T. Morgan, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Erich Seifritz, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland.
Franz X. Vollenweider, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland.
John H. Krystal, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
John D. Murray, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Katrin H. Preller, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.
Alan Anticevic, Department of Psychiatry, Yale University School of Medicine, New Haven, United States.

Document Type

Article

Publication Title

eLife

Abstract

BACKGROUND: Ketamine has emerged as one of the most promising therapies for treatment-resistant depression. However, inter-individual variability in response to ketamine is still not well understood and it is unclear how ketamine's molecular mechanisms connect to its neural and behavioral effects. METHODS: We conducted a single-blind placebo-controlled study, with participants blinded to their treatment condition. 40 healthy participants received acute ketamine (initial bolus 0.23 mg/kg, continuous infusion 0.58 mg/kg/hr). We quantified resting-state functional connectivity via data-driven global brain connectivity and related it to individual ketamine-induced symptom variation and cortical gene expression targets. RESULTS: We found that: (i) both the neural and behavioral effects of acute ketamine are multi-dimensional, reflecting robust inter-individual variability; (ii) ketamine's data-driven principal neural gradient effect matched somatostatin (SST) and parvalbumin (PVALB) cortical gene expression patterns in humans, while the mean effect did not; and (iii) behavioral data-driven individual symptom variation mapped onto distinct neural gradients of ketamine, which were resolvable at the single-subject level. CONCLUSIONS: These results highlight the importance of considering individual behavioral and neural variation in response to ketamine. They also have implications for the development of individually precise pharmacological biomarkers for treatment selection in psychiatry. FUNDING: This study was supported by NIH grants DP5OD012109-01 (A.A.), 1U01MH121766 (A.A.), R01MH112746 (J.D.M.), 5R01MH112189 (A.A.), 5R01MH108590 (A.A.), NIAAA grant 2P50AA012870-11 (A.A.); NSF NeuroNex grant 2015276 (J.D.M.); Brain and Behavior Research Foundation Young Investigator Award (A.A.); SFARI Pilot Award (J.D.M., A.A.); Heffter Research Institute (Grant No. 1-190420) (FXV, KHP); Swiss Neuromatrix Foundation (Grant No. 2016-0111) (FXV, KHP); Swiss National Science Foundation under the framework of Neuron Cofund (Grant No. 01EW1908) (KHP); Usona Institute (2015 - 2056) (FXV). CLINICAL TRIAL NUMBER: NCT03842800.

DOI

10.7554/eLife.84173

Publication Date

4-17-2024

Identifier

38629811 (pubmed); PMC11023699 (pmc); 10.7554/eLife.84173 (doi); 84173 (pii)

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