Evidence map›Paper›PMID 42049879›Full record

ArticleNature neuroscience2026

Genoarchitecture and input-output organization of the mouse basal ganglia and thalamic parafascicular nucleus.

Quanxin Wang, Ashwin Bhandiwad, Nathan W Gouwens, Shenqin Yao, Yun Wang, Xiuli Kuang, Anan Li, Xiangning Li, Rachel Dalley, Hsien-Chi Kuo and 16 more

Abstract read
In one paragraph

Article in Nature neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

26 authors.

Quanxin Wang *Allen Institute for Brain Science, Seattle, WA, USA. quanxinw@alleninstitute.org.ORCID http://orcid.org/0000-0002-0007-7935
Ashwin Bhandiwad *Allen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6963-1594
Nathan W Gouwens *Allen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8429-4090
Shenqin Yao *Allen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2992-4752
Yun WangAllen Institute for Brain Science, Seattle, WA, USA.
Xiuli KuangSchool of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, China.
Anan LiHUST-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute, Suzhou, China.
Xiangning LiState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China.ORCID http://orcid.org/0000-0002-3747-2824
Rachel DalleyAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-7461-7845
Hsien-Chi KuoAllen Institute for Brain Science, Seattle, WA, USA.
Phil LesnarAllen Institute for Brain Science, Seattle, WA, USA.
Wenjie XuAllen Institute for Brain Science, Seattle, WA, USA.
Matt MalloryAllen Institute for Brain Science, Seattle, WA, USA.
Yaoyao LiSchool of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, China.
Laila El-HifnawiAllen Institute for Brain Science, Seattle, WA, USA.
Leila AhmadiniaAllen Institute for Brain Science, Seattle, WA, USA.
Ben OuelletteAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-4913-554X
Lauren KruseAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3428-2443
Lydia NgAllen Institute for Brain Science, Seattle, WA, USA.
Hui GongHUST-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute, Suzhou, China.ORCID http://orcid.org/0000-0001-5519-6248
Qingming LuoState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China.ORCID http://orcid.org/0000-0002-6725-9311
Michael KunstAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-4159-8056
Cindy T J van VelthovenAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-5120-4546
Zizhen YaoAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-9361-5607
Staci A SorensenAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6799-2126
Hongkui ZengAllen Institute for Brain Science, Seattle, WA, USA. HongkuiZ@alleninstitute.org.ORCID http://orcid.org/0000-0002-0326-5878

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI NGAI, JOHN J. · 2017 to 2021
$64.7M
BRAIN CONNECTS: PatchLink, scalable tools for integrating connectomes, projectomes, and transcriptomesU01NS132267 · NINDS · ALLEN INSTITUTE · PI JARSKY, TIM M, SORENSEN, STACI A · 2023 to 2025
$5.7M
Establishing a Comprehensive and Standardized Cell Type Characterization PlatformU01MH105982 · NIMH · ALLEN INSTITUTE · PI ANDERSON, DAVID J, ZENG, HONGKUI · 2014 to 2016
$5.1M
NIMH NIH HHS U01 MH105982NIMH NIH HHS U19 MH114830NINDS NIH HHS U01 NS132267U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U01MH105982U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U19MH114830U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) U01NS132267
6 · The paper itself

Abstract

The basal ganglia comprise interconnected subcortical nuclei essential for motor control, learning, emotion and cognition, yet how cell types relate to their circuit organization remains elusive. Here we show that spatial patterns of transcriptomic cell types in the basal ganglia and thalamic parafascicular nucleus relate to module-organized cortical inputs in the mouse. By co-registering genoarchitectural and connectivity datasets to the common coordinate framework, we delineate distinct three-dimensional subdivisions of these nuclei. Analyses of anterograde and retrograde viral tracing data and single-neuron reconstructions reveal that each subdivision receives convergent, modular and cell-type-specific cortical and subcortical inputs. Caudoputamen subdivisions primarily receive layer 5 intratelencephalic inputs from the entire isocortex, whereas smaller basal ganglia subdivisions receive ipsilateral layer 5 extratelencephalic inputs from limited cortical areas. The parafascicular nucleus subdivisions are connected with specific cortical modules and basal ganglia subdivisions. Our results suggest that combinatorial gene expression underlies a global map of parallel, modular and cell-type-specific basal ganglia and parafascicular nucleus subnetworks.

Indexed as

Basal GangliaIntralaminar Thalamic NucleiAnimalsMaleMiceMice, Inbred C57BLNeural PathwaysNeurons

Identifiers

PMID42049879
PMCPMC13156036

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.