Evidence map›Paper›PMID 41000989›Full record

ArticlebioRxiv : the preprint server for biology2025

Trait-Relevant Tasks Improve Personality Prediction from Structural-Functional Brain Network Coupling.

Johanna L Popp, Jonas A Thiele, Joshua Faskowitz, Caio Seguin, Olaf Sporns, Kirsten Hilger

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.

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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

5 · Who and what money

Authors and funding

6 authors.

Johanna L PoppDepartment of Psychology I, Würzburg University, Marcusstr. 9-11, Würzburg D-97070, Germany.ORCID 0000-0003-1704-9890
Jonas A ThieleDepartment of Psychology I, Würzburg University, Marcusstr. 9-11, Würzburg D-97070, Germany.ORCID 0000-0003-2702-9690
Joshua FaskowitzDepartment of Psychological and Brain Sciences, Indiana University, 1101 E. 10 St., Bloomington, IN 47405-7007, USA.ORCID 0000-0003-1814-7206
Caio SeguinDepartment of Psychological and Brain Sciences, Indiana University, 1101 E. 10 St., Bloomington, IN 47405-7007, USA.ORCID 0000-0001-9384-6336
Olaf SpornsDepartment of Psychological and Brain Sciences, Indiana University, 1101 E. 10 St., Bloomington, IN 47405-7007, USA.ORCID 0000-0001-7265-4036
Kirsten HilgerDepartment of Psychology I, Würzburg University, Marcusstr. 9-11, Würzburg D-97070, Germany.ORCID 0000-0003-3940-5884

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

Personality traits capture stable patterns of behavior and thought, and neurobiological correlates were identified in structural and functional brain networks. Here, we investigate whether the coupling between structural and functional brain networks (SC-FC coupling), during resting state and seven tasks of varying trait-relevance, is associated with individual differences in the Big Five personality traits. We used diffusion-weighted and functional magnetic resonance imaging from 764 participants of the Human Connectome Project and modelled individual differences in SC-FC coupling with similarity and communication measures. These measures approximate functional interactions unfolding on top of the structural connectome and were set in relation to individual variations in personality traits. Significant associations were only observed during trait-relevant tasks: for agreeableness during social cognition, and conscientiousness could be predicted from task-general coupling patterns. We conclude that optimizing trait-relevance of tasks during neuroscientific measurements presents a promising means to increase effect sizes in studies on brain-behavior associations.

Indexed as

Big Five personality traitsbrain connectivitynetwork communication modelsstructural-functional brain network couplingtrait-relevance

Identifiers

PMID41000989
PMCPMC12458267

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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.