Evidence map›Paper›PMID 39342056›Full record

ArticleCommunications biology2024

Imaging genetics of language network functional connectivity reveals links with language-related abilities, dyslexia and handedness.

Jitse S Amelink, Merel C Postema, Xiang-Zhen Kong, Dick Schijven, Amaia Carrión-Castillo, Sourena Soheili-Nezhad, Zhiqiang Sha, Barbara Molz, Marc Joliot, Simon E Fisher and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

11 authors.

Jitse S AmelinkLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.ORCID 0009-0008-4633-1215
Merel C PostemaLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
Xiang-Zhen KongLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
Dick SchijvenLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
Amaia Carrión-CastilloLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.ORCID 0000-0003-0226-0642
Sourena Soheili-NezhadLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
Zhiqiang ShaLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
Barbara MolzLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.ORCID 0000-0002-9300-761X
Marc JoliotGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Commissariat à L'énergie Atomique et aux Énergies Alternatives, CNRS, Université de Bordeaux, Bordeaux, France.ORCID 0000-0001-7792-308X
Simon E FisherLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.ORCID 0000-0002-3132-1996
Clyde FrancksLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands. clyde.francks@mpi.nl.ORCID 0000-0002-9098-890X

Funding

Agence Nationale de la Recherche (French National Research Agency) 15-HBPR-0001-03Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 054-15-101
6 · The paper itself

Abstract

Language is supported by a distributed network of brain regions with a particular contribution from the left hemisphere. A multi-level understanding of this network requires studying its genetic architecture. We used resting-state imaging data from 29,681 participants (UK Biobank) to measure connectivity between 18 left-hemisphere regions involved in multimodal sentence-level processing, as well as their right-hemisphere homotopes, and interhemispheric connections. Multivariate genome-wide association analysis of this total network, based on genetic variants with population frequencies  >1%, identified 14 genomic loci, of which three were also associated with asymmetry of intrahemispheric connectivity. Polygenic dispositions to lower language-related abilities, dyslexia and left-handedness were associated with generally reduced leftward asymmetry of functional connectivity. Exome-wide association analysis based on rare, protein-altering variants (frequencies <1%) suggested 7 additional genes. These findings shed new light on genetic contributions to language network organization and related behavioural traits.

Indexed as

DyslexiaFunctional LateralityGenome-Wide Association StudyLanguageMagnetic Resonance ImagingAdultAgedBrainBrain MappingFemaleHumansMaleMiddle AgedNerve Net

Identifiers

PMID39342056
PMCPMC11438961

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.