Evidence map›Paper›PMID 40777383›Full record

ArticlebioRxiv : the preprint server for biology2025

Distinct genetic underpinnings of inter-individual differences in the sensorimotor-association axis of cortical organisation.

Giacomo Bignardi, Michel G Nivard, H Lina Schaare, Boris C Bernhardt, Richard A I Bethlehem, Simon E Fisher, Sofie L Valk

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Giacomo BignardiLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.ORCID 0000-0002-7439-0684
Michel G NivardMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
H Lina SchaareMax Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID 0000-0003-4259-0793
Boris C BernhardtMcGill University, Montreal, Canada.ORCID 0000-0001-9256-6041
Richard A I BethlehemAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-0714-0685
Simon E FisherLanguage and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.ORCID 0000-0002-3132-1996
Sofie L ValkMax Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID 0000-0003-2998-6849

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

In humans, many neurobiological features of the cortex-including gene expression patterns, microstructure, and functional connectivity-vary systematically along a sensorimotor-association (S-A) axis of brain organisation. To date, it is still poorly understood whether inter-individual differences in patterns of S-A axis capture these robust spatial relationships across neurobiological properties observed at the group-level. Here, we examine inter-individual differences in structural and functional properties of the S-A axis, namely cortical microstructure, geodesic distances, and the functional gradient, in a sample of young adults from the Human Connectome Project (N = 992, including 328 twins). We quantified heritable variation associated with inter-individual differences in the S-A axis, and assessed whether structural and functional properties that are highly spatially correlated at the group-level also share genetic underpinnings. To consider measurement errors in resting-state functional connectivity data and their impact on properties of the S-A axis, we used a multivariate twin design capable of disentangling individual-level variation in both intra- and inter-individual differences. After accounting for some of the intra-individual variation, we found average heritable individual differences in both the functional gradient

Indexed as

Behaviour GeneticsMeasurement ErrorNeuroscienceSensorimotor-Association axisStructural Equation Modelling

Identifiers

PMID40777383
PMCPMC12330504

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.