Evidence map›Paper›PMID 39244616›Full record

ArticleNature communications2024

Network state changes in sensory thalamus represent learned outcomes.

Masashi Hasegawa, Ziyan Huang, Ricardo Paricio-Montesinos, Jan Gründemann

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

4 authors.

Masashi Hasegawa *German Center for Neurodegenerative Diseases (DZNE), Neural Circuit Computations, Bonn, Germany.ORCID 0000-0003-4055-4377
Ziyan Huang *German Center for Neurodegenerative Diseases (DZNE), Neural Circuit Computations, Bonn, Germany.ORCID 0009-0002-2047-3676
Ricardo Paricio-MontesinosGerman Center for Neurodegenerative Diseases (DZNE), Neural Circuit Computations, Bonn, Germany.ORCID 0000-0003-3325-9038
Jan GründemannGerman Center for Neurodegenerative Diseases (DZNE), Neural Circuit Computations, Bonn, Germany. jan.grundemann@dzne.de.ORCID 0000-0002-3149-0001

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) Walter Benjamin Program 528405672
6 · The paper itself

Abstract

Thalamic brain areas play an important role in adaptive behaviors. Nevertheless, the population dynamics of thalamic relays during learning across sensory modalities remain unknown. Using a cross-modal sensory reward-associative learning paradigm combined with deep brain two-photon calcium imaging of large populations of auditory thalamus (medial geniculate body, MGB) neurons in male mice, we identified that MGB neurons are biased towards reward predictors independent of modality. Additionally, functional classes of MGB neurons aligned with distinct task periods and behavioral outcomes, both dependent and independent of sensory modality. During non-sensory delay periods, MGB ensembles developed coherent neuronal representation as well as distinct co-activity network states reflecting predicted task outcome. These results demonstrate flexible cross-modal ensemble coding in auditory thalamus during adaptive learning and highlight its importance in brain-wide cross-modal computations during complex behavior.

Indexed as

Geniculate BodiesAnimalsLearningMaleMiceMice, Inbred C57BLNeuronsRewardThalamus

Identifiers

PMID39244616
PMCPMC11380690

What OpenQuestion holds

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Registered trials

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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.