Evidence map›Paper›PMID 39824638›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

Topographic Axes of Wiring Space Converge to Genetic Topography in Shaping the Human Cortical Layout.

Deying Li, Yufan Wang, Liang Ma, Yaping Wang, Luqi Cheng, Yinan Liu, Weiyang Shi, Yuheng Lu, Haiyan Wang, Chaohong Gao and 8 more

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2025. 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
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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

18 authors.

Deying LiBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Yufan WangBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Liang MaBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Yaping WangBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Luqi ChengSchool of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, China.
Yinan LiuBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Weiyang ShiBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Yuheng LuBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Haiyan WangBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Chaohong GaoBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Camilla T ErichsenCore Center for Molecular Morphology, Section for Stereology and Microscopy, Department of Clinical Medicine, Aarhus University, Aarhus 8000, Denmark.
Yu ZhangZhejiang Lab, Hangzhou 311121, China.
Zhengyi YangBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Simon B EickhoffInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich 52425, Germany.
Chi-Hua ChenDepartment of Radiology, University of California San Diego, La Jolla, California 92093.
Tianzi JiangBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0001-9531-291X
Congying ChuBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China lingzhong.fan@ia.ac.cn congying.chu@ia.ac.cn.
Lingzhong FanBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China lingzhong.fan@ia.ac.cn congying.chu@ia.ac.cn.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Genetic information is involved in the gradual emergence of cortical areas since the neural tube begins to form, shaping the heterogeneous functions of neural circuits in the human brain. Informed by invasive tract-tracing measurements, the cortex exhibits marked interareal variation in connectivity profiles, revealing the heterogeneity across cortical areas. However, it remains unclear about the organizing principles possibly shared by genetics and cortical wiring to manifest the spatial heterogeneity across the cortex. Instead of considering a complex one-to-one mapping between genetic coding and interareal connectivity, we hypothesized the existence of a more efficient way that the organizing principles are embedded in genetic profiles to underpin the cortical wiring space. Leveraging vertex-wise tractography in diffusion-weighted MRI, we derived the global connectopies (GCs) in both female and male to reliably index the organizing principles of interareal connectivity variation in a low-dimensional space, which captured three dominant topographic patterns along the dorsoventral, rostrocaudal, and mediolateral axes of the cortex. More importantly, we demonstrated that the GCs converge with the gradients of a vertex-by-vertex genetic correlation matrix on the phenotype of cortical morphology and the cortex-wide spatiomolecular gradients. By diving into the genetic profiles, we found that the critical role of genes scaffolding the GCs was related to brain morphogenesis and enriched in radial glial cells before birth and excitatory neurons after birth. Taken together, our findings demonstrated the existence of a genetically determined space that encodes the interareal connectivity variation, which may give new insights into the links between cortical connections and arealization.

Indexed as

Cerebral CortexNerve NetAdultBrain MappingConnectomeDiffusion Tensor ImagingFemaleHumansMaleNeural PathwaysYoung Adultcerebral cortexdiffusion MRI tractographygenetic topographyglobal connectopystructural connectivity

Identifiers

PMID39824638
PMCPMC11823343

What OpenQuestion holds

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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.