Evidence map›Paper›PMID 38629811›Full record

Trial reporteLife2024

Ketamine induces multiple individually distinct whole-brain functional connectivity signatures.

Flora Moujaes, Jie Lisa Ji, Masih Rahmati, Joshua B Burt, Charles Schleifer, Brendan D Adkinson, Aleksandar Savic, Nicole Santamauro, Zailyn Tamayo, Caroline Diehl and 16 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03842800 (Characterizing Clinical and Pharmacological Neuroimaging Biomarkers), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03842800 early_phase1completednot on this map

Characterizing Clinical and Pharmacological Neuroimaging Biomarkers

TypeinterventionalSponsorYale UniversityRan2013 to 2018Enrolled143ConditionsCognitive ImpairmentArmsMRI, Ketamine
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. The entropic brain today.Brain : a journal of neurology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 8 institutions in 3 countries.

Flora Moujaes *Department of Psychiatry, Yale University School of Medicine, New Haven, United States.ORCID https://orcid.org/0000-0002-0843-0393
Jie Lisa Ji *Department of Psychiatry, Yale University School of Medicine, New Haven, United States.ORCID https://orcid.org/0000-0002-6280-9070
Masih RahmatiDepartment of Psychiatry, Yale University School of Medicine, New Haven, United States.
Joshua B BurtDepartment of Physics, Yale University, Boston, United States.
Charles SchleiferDavid Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0001-8411-0968
Brendan D AdkinsonInterdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0003-3196-8674
Aleksandar SavicDepartment of Psychiatry, University of Zagreb, Zagreb, Croatia.
Nicole SantamauroDepartment of Psychiatry, Yale University School of Medicine, New Haven, United States.
Zailyn TamayoDepartment of Psychiatry, Yale University School of Medicine, New Haven, United States.
Caroline DiehlDepartment of Psychology, University of California, Los Angeles, Los Angeles, United States.
Antonija KolobaricCenter of Neuroscience, University of Pittsburgh, Pittsburgh, United States.
Morgan FlynnDepartment of Psychiatry, Vanderbilt University Medical Center, Nashville, United States.
Nathalie RieserDepartment of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland.
Clara FonteneauDepartment of Psychiatry, Yale University School of Medicine, New Haven, United States.
Terry CamarroMagnetic Resonance Research Center, Yale University School of Medicine, New Haven, United States.
Junqian XuDepartment of Radiology and Psychiatry, Baylor College of Medicine, Houston, United States.
Youngsun ChoDepartment of Psychiatry, Yale University School of Medicine, New Haven, United States.
Grega RepovsDepartment of Psychology, University of Ljubljana, Ljubljana, Slovenia.
Sarah K FinebergDepartment of Psychiatry, Yale University School of Medicine, New Haven, United States.
Peter T MorganDepartment of Psychiatry, Yale University School of Medicine, New Haven, United States.
Erich SeifritzDepartment of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland.
Franz X VollenweiderDepartment of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-9053-6164
John H KrystalDepartment of Psychiatry, Yale University School of Medicine, New Haven, United States.
John D MurrayDepartment of Psychiatry, Yale University School of Medicine, New Haven, United States.ORCID https://orcid.org/0000-0003-4115-8181
Katrin H Preller *Department of Psychiatry, Yale University School of Medicine, New Haven, United States.ORCID https://orcid.org/0000-0003-0413-7672
Alan Anticevic *Department of Psychiatry, Yale University School of Medicine, New Haven, United States.ORCID https://orcid.org/0000-0002-4324-0536
Yale University · USUniversity of California, Los Angeles · USBaylor College of Medicine · USBridgeport Hospital · USUniversity of Ljubljana · SIUniversity of Pittsburgh · USUniversity of Zagreb · HRVanderbilt University Medical Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI Matthew J Girgenti · 2001 to 2026
$43.7M
A Translational and Neurocomputational Evaluation of a D1R Partial Agonist for SchizophreniaU01MH121766 · NIMH · YALE UNIVERSITY · PI KRYSTAL, JOHN H. · 2019 to 2022
$11.8M
Characterizing Schizophrenia Progression via Multi-modal Neuroimaging and ComputationR01MH108590 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2016 to 2020
$2.0M
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling aDP5OD012109 · OD · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2012 to 2016
$1.8M
Linking Large-Scale Dysconnectivity in Schizophrenia to Cortical Circuit Function at the Individual Level through Computational Modeling and Multimodal NeuroimagingR01MH112746 · NIMH · YALE UNIVERSITY · PI MURRAY, JOHN DAVID · 2017 to 2020
$1.7M
Examining Longitudinal Cognitive-Motivational Interactions in Adolescents with DepressionK23MH121778 · NIMH · YALE UNIVERSITY · PI CHO, YOUNGSUN T · 2020 to 2024
$975k
Mapping the Longitudinal Neurobiology of Early-course SchizophreniaR01MH112189 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2017 to 2021
$939k
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS 2P50AA012870-11NIAAA NIH HHS P50 AA012870NIH HHS 1U01MH121766NIH HHS 5R01MH108590NIH HHS 5R01MH112189NIH HHS DP5 OD012109NIH HHS DP5OD012109-01NIH HHS R01MH112746NIMH NIH HHS K23 MH121778NIMH NIH HHS R01 MH108590NIMH NIH HHS R01 MH112189NIMH NIH HHS R01 MH112746NIMH NIH HHS U01 MH121766
6 · The paper itself

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.

Indexed as

KetamineAntidepressive AgentsBrainHumansSingle-Blind MethodAntidepressive AgentsKetaminedata reductionfMRIgene expressionhumaninter-individual variationketaminemedicineneuroscience

Identifiers

PMID38629811
PMCPMC11023699
OpenAlexW4394873583

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.