Evidence map›Paper›PMID 42637761›Full record

ArticleNature communications2026

A hierarchical framework for cortical and subcortical gray-matter parcellation across rodents, primates, and humans.

Siva Venkadesh, Yuhe Tian, Wen-Jieh Linn, Jessica Barrios-Martinez, Harrison Mansour, James Cook, David J Schaeffer, Diego Szczupak, Afonso C Silva, G Allan Johnson and 1 more

Abstract read
In one paragraph

Article in Nature communications, 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

5 · Who and what money

Authors and funding

11 authors.

Siva VenkadeshDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA. siv30@pitt.edu.ORCID http://orcid.org/0000-0002-8112-0578
Yuhe TianDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
Wen-Jieh LinnDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Jessica Barrios-MartinezDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
Harrison MansourDuke Center for In Vivo Microscopy, Departments of Radiology and Biomedical Engineering, Duke University, Durham, NC, USA.
James CookDuke Center for In Vivo Microscopy, Departments of Radiology and Biomedical Engineering, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0001-9847-8683
David J SchaefferDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0003-2201-7092
Diego SzczupakDepartment of Neurobiology, University of Pittsburgh, Pittsburgh, PA, USA.
Afonso C SilvaDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-6105-7567
G Allan JohnsonDuke Center for In Vivo Microscopy, Departments of Radiology and Biomedical Engineering, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0002-7606-5447
Fang-Cheng YehDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA. frank.yeh@pitt.edu.ORCID http://orcid.org/0000-0002-7946-2173

Funding

Ultra-high Resolution Structural Connectome Atlases of the Animal Brain and their Associated ToolboxR01NS120954 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FANG-CHENG YEH · 2022 to 2026
$2.8M
Global studies into the Genetic Architecture of the Brain's White Matter Network through Harmonized and Coordinated Analyses in the ENIGMA-ConsortiumR01MH134004 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Neda Jahanshad · 2023 to 2026
$2.6M
NIMH NIH HHS R01 MH134004NINDS NIH HHS R01 NS120954U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH134004U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01NS120954
6 · The paper itself

Abstract

Translational neuroscience requires consistent anatomical frameworks to compare brain organization across species despite differences in size and specialization. Existing atlases are species-specific, limiting cross-species analyses. Here we developed a hierarchical common atlas delineating homologous cortical and subcortical gray matter regions across mouse, rat, marmoset, rhesus macaque, and human, built upon population-averaged minimal deformation templates and uniform tissue segmentation. We validated the atlas using four independent approaches: cross-atlas Dice similarity against established human parcellations, cross-scale containment against species-specific atlases, cross-species geometric consistency of regional positioning, and comparison of independent mouse and marmoset tracer connectivity. A per-region homology confidence index quantifies the strength of each regional assignment. Cross-species tracer comparison revealed a structured gradient of correspondence, with sensorimotor connections showing strong conservation and association connections showing progressive divergence. This freely available atlas provides a unified coordinate system for comparative neuroscience, enabling quantitative evaluation of where cross-species correspondence holds and where species-specific divergence emerges.

Indexed as

BrainGray MatterAnimalsBrain MappingCallithrixHumansMacaca mulattaMagnetic Resonance ImagingMaleMiceRatsSpecies Specificity

Identifiers

PMID42637761
PMCPMC13503721

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.