Evidence map›Paper›PMID 37090584›Full record

ArticlebioRxiv : the preprint server for biology2023

Whole-brain mapping reveals the divergent impact of ketamine on the dopamine system.

Malika S Datta, Yannan Chen, Shradha Chauhan, Jing Zhang, Estanislao Daniel De La Cruz, Cheng Gong, Raju Tomer

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Malika S DattaDepartment of Biological Sciences, Columbia University.
Yannan ChenDepartment of Biological Sciences, Columbia University.
Shradha ChauhanDepartment of Biological Sciences, Columbia University.
Jing ZhangDepartment of Biological Sciences, Columbia University.
Estanislao Daniel De La CruzDepartment of Biological Sciences, Columbia University.
Cheng GongDepartment of Biological Sciences, Columbia University.
Raju TomerDepartment of Biological Sciences, Columbia University.
Columbia University · USAllen Institute for Brain Science · US

Funding

A comparative approach for decomposing the mammalian brain architectural complexityDP2MH119423 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI TOMER, RAJU · 2018 to 2018
$2.4M
NIMH NIH HHS DP2 MH119423
6 · The paper itself

Abstract

Ketamine is a multifunctional drug with clinical applications as an anesthetic, as a pain management medication and as a transformative fast-acting antidepressant. It is also abused as a recreational drug due to its dissociative property. Recent studies in rodents are revealing the neuronal mechanisms that mediate the complex actions of ketamine, however, its long-term impact due to prolonged exposure remains much less understood with profound scientific and clinical implications. Here, we develop and utilize a high-resolution whole-brain phenotyping approach to show that repeated ketamine administration leads to a dosage-dependent decrease of dopamine (DA) neurons in the behavior state-related midbrain regions and, conversely, an increase within the hypothalamus. Congruently, we show divergently altered innervations of prefrontal cortex, striatum, and sensory areas. Further, we present supporting data for the post-transcriptional regulation of ketamine-induced structural plasticity. Overall, through an unbiased whole-brain analysis, we reveal the divergent brain-wide impact of chronic ketamine exposure on the association and sensory pathways.

Indexed as

DopamineKetaminemodulationneural circuit adaptationsPlasticityWhole brain

Identifiers

PMID37090584
PMCPMC10120808
OpenAlexW4365137495

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.