Evidence map›Paper›PMID 36220938›Full record

ArticleCommunications biology2022

Functional orderly topography of brain networks associated with gene expression heterogeneity.

Wei Liu, Ling-Li Zeng, Hui Shen, Zong-Tan Zhou, Dewen Hu

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Wei LiuCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, 410073, P. R. China.
Ling-Li ZengCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, 410073, P. R. China.ORCID 0000-0002-0515-256X
Hui ShenCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, 410073, P. R. China.
Zong-Tan ZhouCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, 410073, P. R. China.
Dewen HuCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, 410073, P. R. China. dwhu@nudt.edu.cn.ORCID 0000-0001-7357-0053
National University of Defense Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human cerebral cortex is vastly expanded relative to nonhuman primates and rodents, leading to a functional orderly topography of brain networks. Here, we show that functional topography may be associated with gene expression heterogeneity. The neocortex exhibits greater heterogeneity in gene expression, with a lower expression of housekeeping genes, a longer mean path length, fewer clusters, and a lower degree of ordering in networks than archicortical and subcortical areas in human, rhesus macaque, and mouse brains. In particular, the cerebellar cortex displays greater heterogeneity in gene expression than cerebellar deep nuclei in the human brain, but not in the mouse brain, corresponding to the emergence of novel functions in the human cerebellar cortex. Moreover, the cortical areas with greater heterogeneity, primarily located in the multimodal association cortex, tend to express genes with higher evolutionary rates and exhibit a higher degree of functional connectivity measured by resting-state fMRI, implying that such a spatial distribution of gene expression may be shaped by evolution and is favourable for the specialization of higher cognitive functions. Together, the cross-species imaging and genetic findings may provide convergent evidence to support the association between the orderly topography of brain function networks and gene expression.

Indexed as

Brain MappingNeocortexAnimalsGene ExpressionHumansMacaca mulattaMagnetic Resonance ImagingMice

Identifiers

PMID36220938
PMCPMC9554040
OpenAlexW4304185364

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.