Evidence map›Paper›PMID 38499854›Full record

ArticleNature neuroscience2024

The dynamic state of a prefrontal-hypothalamic-midbrain circuit commands behavioral transitions.

Changwan Chen, Mahsa Altafi, Mihaela-Anca Corbu, Aleksandra Trenk, Hanna van den Munkhof, Kristin Weineck, Franziska Bender, Marta Carus-Cadavieco, Alisa Bakhareva, Tatiana Korotkova and 1 more

Abstract read
In one paragraph

Article in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  12. Sequential Activation of Lateral Hypothalamic Neuronal Populations during Feeding and Their Assembly by Gamma Oscillations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
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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

11 authors.

Changwan Chen *Max Planck Institute for Metabolism Research, Cologne, Germany.
Mahsa Altafi *Institute of Physiology and Pathophysiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0009-0004-8003-2930
Mihaela-Anca CorbuMax Planck Institute for Metabolism Research, Cologne, Germany.ORCID http://orcid.org/0000-0001-7300-8714
Aleksandra TrenkMax Planck Institute for Metabolism Research, Cologne, Germany.ORCID http://orcid.org/0000-0002-5888-3550
Hanna van den MunkhofMax Planck Institute for Metabolism Research, Cologne, Germany.
Kristin WeineckBehavioural Neurodynamics Group, Leibniz Institute for Molecular Pharmacology (FMP)/NeuroCure Cluster of Excellence, Berlin, Germany.ORCID http://orcid.org/0000-0003-3204-860X
Franziska BenderBehavioural Neurodynamics Group, Leibniz Institute for Molecular Pharmacology (FMP)/NeuroCure Cluster of Excellence, Berlin, Germany.
Marta Carus-CadaviecoMax Planck Institute for Metabolism Research, Cologne, Germany.
Alisa BakharevaInstitute for Systems Physiology, Faculty of Medicine, University of Cologne/University Clinic Cologne, Cologne, Germany.ORCID http://orcid.org/0000-0001-9292-8508
Tatiana Korotkova *Max Planck Institute for Metabolism Research, Cologne, Germany. tatiana.korotkova@uk-koeln.de.ORCID http://orcid.org/0000-0001-7964-9838
Alexey Ponomarenko *Institute of Physiology and Pathophysiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. alexey.ponomarenko@fau.de.ORCID http://orcid.org/0000-0002-5185-0107

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 233886668 GRK1960Deutsche Forschungsgemeinschaft (German Research Foundation) 431549029 SFB 1451Deutsche Forschungsgemeinschaft (German Research Foundation) EXC2030 CECADDeutsche Forschungsgemeinschaft (German Research Foundation) PO1799/6-1Deutsche Forschungsgemeinschaft (German Research Foundation) SPP 1665, PO1799/1-2Deutsche Forschungsgemeinschaft (German Research Foundation) SPP 1665, PO1799/2-1Deutsche Forschungsgemeinschaft (German Research Foundation) SPP 1665, PO1799/3-1
6 · The paper itself

Abstract

Innate behaviors meet multiple needs adaptively and in a serial order, suggesting the existence of a hitherto elusive brain dynamics that brings together representations of upcoming behaviors during their selection. Here we show that during behavioral transitions, possible upcoming behaviors are encoded by specific signatures of neuronal populations in the lateral hypothalamus (LH) that are active near beta oscillation peaks. Optogenetic recruitment of intrahypothalamic inhibition at this phase eliminates behavioral transitions. We show that transitions are elicited by beta-rhythmic inputs from the prefrontal cortex that spontaneously synchronize with LH 'transition cells' encoding multiple behaviors. Downstream of the LH, dopamine neurons increase firing during beta oscillations and also encode behavioral transitions. Thus, a hypothalamic transition state signals alternative future behaviors, encodes the one most likely to be selected and enables rapid coordination with cognitive and reward-processing circuitries, commanding adaptive social contact and eating behaviors.

Indexed as

Beta RhythmNeural PathwaysPrefrontal CortexAnimalsBehavior, AnimalDopaminergic NeuronsHypothalamic Area, LateralHypothalamusMaleMiceOptogeneticsReward

Identifiers

PMID38499854
PMCPMC11089001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.