Evidence map›Paper›PMID 40593635›Full record

ArticleNature communications2025

Distinct subnetworks of the mouse anterior thalamic nuclei.

Houri Hintiryan, Mitchell Rudd, Sumit Nanda, Adriana E Gutierrez, Darrick Lo, Tyler Boesen, Luis Garcia, Jiandong Sun, Christian Estrada, Hyun-Seung Mun and 20 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Neuronal alkaline phosphatase promotes the spread of Tau-induced pathology, and its blockade prevents neurodegeneration and memory loss.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  4. Article
  5. 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

30 authors.

Houri HintiryanUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA. HHintiryan@mednet.ucla.edu.ORCID http://orcid.org/0000-0002-9721-6785
Mitchell Rudd *UCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-1752-4770
Sumit Nanda *UCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Adriana E GutierrezUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Darrick LoUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Tyler BoesenUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Luis GarciaUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Jiandong SunUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-4270-8704
Christian EstradaUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Hyun-Seung MunUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Seita YamashitaUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Yeji E HanUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Ian BowmanUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Lin GouUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Chunru CaoUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Jennifer GonzalezUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Keivan MoradiUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Qiuying ZhaoUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Inga YenokianUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Aishwarya DevUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Brian ZinggUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Hanpeng XuUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Qing XueUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Muye ZhuUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.
Lijuan LiuNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.ORCID http://orcid.org/0000-0002-9548-6183
Xin ChenNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Zhixi YunNew Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Hanchuan PengShanghai Academy of Natural Sciences (SANS), Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-3478-3942
Nicholas N FosterUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1740-9788
Hong-Wei DongUCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.), Department of Neurobiology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA, USA. HongWeiD@mednet.ucla.edu.ORCID http://orcid.org/0000-0001-9972-3177

Funding

Anatomical characterization of neuronal cell types of the mouse brainU01MH114829 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASCOLI, GIORGIO A, DONG, HONG-WEI · 2017 to 2021
$13.9M
A three dimensional multimodal cellular connectivity atlas of the mouse hypothalamusR01NS133744 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Hong-Wei Dong · 2023 to 2026
$2.6M
NIMH NIH HHS U01 MH114829NINDS NIH HHS R01 NS133744U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U01MH114829U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 1R01NS133744-01
6 · The paper itself

Abstract

Currently, classification of neuron types in the mouse thalamus remains largely incomplete. The anterior thalamic nuclei (ATN), a Papez circuit component, encompass the anterodorsal (AD), anteroventral (AV), and anteromedial (AM) thalamic nuclei. Structurally, the ATN facilitate communication among the neocortex, hippocampus, amygdala, and hypothalamus. Functionally, they play pivotal roles in learning, memory, spatial navigation, and goal-directed behaviors. Therefore, the ATN provide a promising avenue to investigate the relationship between structural and functional complexity with neuron type diversity. In male mice, comprehensive, systematically collected, pathway tracing data revealed several connectionally unique ATN cell populations, suggesting multiple parallel subnetworks run through each nucleus. Further, we applied genetic sparse labeling, brain clearing, 3D microscopic imaging, and computational informatics to morphologically characterize and catalog ATN neuron types. This study provides insights into how the prefrontal cortex, hippocampus, and amygdala interact through neuron type-specific ATN subnetworks to coordinate cognitive and emotional aspects of goal-directed behavior.

Indexed as

Anterior Thalamic NucleiNerve NetNeuronsAmygdalaAnimalsHippocampusMaleMiceMice, Inbred C57BLNeural PathwaysPrefrontal Cortex

Identifiers

PMID40593635
PMCPMC12216302

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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.