Evidence map›Paper›PMID 41286449›Full record

ArticleNature neuroscience2026

A mouse brain atlas based on dendritic microenvironments.

Yufeng Liu, Sujun Zhao, Zhixi Yun, Feng Xiong, Hanchuan Peng

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. Review
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

5 authors.

Yufeng Liu *New Cornerstone Science Laboratory, Institute for Brain and Intelligence, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-0848-5113
Sujun Zhao *New Cornerstone Science Laboratory, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Zhixi YunNew Cornerstone Science Laboratory, Institute for Brain and Intelligence, Southeast University, Nanjing, China.ORCID http://orcid.org/0000-0002-8226-7408
Feng XiongNew Cornerstone Science Laboratory, Institute for Brain and Intelligence, Southeast University, Nanjing, China.ORCID http://orcid.org/0000-0002-6927-8903
Hanchuan PengNew Cornerstone Science Laboratory, Institute for Brain and Intelligence, Fudan University, Shanghai, China. h@braintell.org.ORCID http://orcid.org/0000-0002-3478-3942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain atlases map the spatial organization of neural tissue and serve as anatomical references. Current mouse brain atlases define regions based primarily on cell density patterns but overlook how neurons extend their branches (dendrites) to form local networks. Here we show that mapping dendrites enhanced by their local neighborhoods-which we call microenvironments-reveals a finer-grained brain organization. We analyzed dendrite patterns from more than 100,000 neurons across 111 mouse brains and discovered that neurons group into distinct microenvironments that subdivide known brain regions, nearly doubling the number of identifiable areas compared with the standard Allen Common Coordinate Framework. Remarkably, hippocampal neurons with similar local dendrite arrangements tend to form long-range connections to similar distant targets, suggesting that local structure predicts global connectivity. This microenvironment atlas complements existing resources by revealing previously hidden subdivisions and correlations that align with functional differences, offering new insights into how brain structure relates to function.

Indexed as

Atlases as TopicBrainBrain MappingCellular MicroenvironmentDendritesNeuronsAnimalsFemaleMaleMiceMice, Inbred C57BL

Identifiers

PMID41286449
PMCPMC12779555

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.