Evidence map›Paper›PMID 36794006›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2020

Gene Expression Correlates of the Cortical Network Underlying Sentence Processing.

Xiang-Zhen Kong, Nathalie Tzourio-Mazoyer, Marc Joliot, Evelina Fedorenko, Jia Liu, Simon E Fisher, Clyde Francks

Open access · goldAbstract read
In one paragraph

Article in Neurobiology of language (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  4. The neocortical infrastructure for language involves region-specific patterns of laminar gene expression.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  6. Review
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  10. Large-Scale Phenomic and Genomic Analysis of Brain Asymmetrical Skew.Cerebral cortex (New York, N.Y. : 1991) · 2021
    Article
  11. Article
  12. Article
  13. Neurobiology of language (Cambridge, Mass.) · 2020
    Article
  14. 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

7 authors at 5 institutions in 4 countries.

Xiang-Zhen KongLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
Nathalie Tzourio-MazoyerUniversity of Bordeaux, GIN, IMN, UMR 5293, Bordeaux, France.
Marc JoliotUniversity of Bordeaux, GIN, IMN, UMR 5293, Bordeaux, France.
Evelina FedorenkoDepartment of Brain and Cognitive Sciences and McGovern Institute for Brain Research, MIT, Cambridge, MA, 02139, USA.
Jia LiuFaculty of Psychology, Beijing Normal University, Beijing 100875, China.
Simon E FisherLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
Clyde FrancksLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
Centre National de la Recherche Scientifique · FRRadboud University Nijmegen · NLBeijing Normal University · CNMax Planck Institute for Psycholinguistics · NLMcGovern Institute for Brain Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A pivotal question in modern neuroscience is which genes regulate brain circuits that underlie cognitive functions. However, the field is still in its infancy. Here we report an integrated investigation of the high-level language network (i.e., sentence-processing network) in the human cerebral cortex, combining regional gene expression profiles, task fMRI, large-scale neuroimaging meta-analysis, and resting-state functional network approaches. We revealed reliable gene expression-functional network correlations using three different network definition strategies, and identified a consensus set of genes related to connectivity within the sentence-processing network. The genes involved showed enrichment for neural development and actin-related functions, as well as association signals with autism, which can involve disrupted language functioning. Our findings help elucidate the molecular basis of the brain's infrastructure for language. The integrative approach described here will be useful for studying other complex cognitive traits.

Indexed as

autismcorrelated gene expression networkfunctional networklanguageneural developmentsentence-processing network

Identifiers

PMID36794006
PMCPMC9923707
OpenAlexW2959061261

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.