Observational studyScientific reports2025
Electrophysiological resting-state signatures link polygenic scores to general intelligence.
Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05155397 (The Dortmund Vital Study), which is not on this map. Not yet cited in PubMed.
What it found
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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.
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.
The Dortmund Vital Study: Impact of Biological and Lifestyle Factors on Cognitive Performace and Work Ability Across the Lifespan. An Interdisciplinary, Cross-sectional and Longitudinal Study
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Authors and funding
21 authors.
Funding
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Abstract
Intelligence is associated with important life outcomes. Behavioral, genetic, structural, and functional brain correlates of intelligence have been studied for decades, but questions remain as to how genetics are related to trait expression and what intermediary role brain properties play. This study investigated these mediations in a representative sample of 434 individuals, comprising young and older adults. Polygenic scores (PGS) for intelligence were calculated. Resting-state EEG recordings were analyzed using graph theory quantifying functional connectivity across different frequencies. We tested whether global and local graph metrics like efficiency and clustering mediated the association between PGS and intelligence. PGS significantly predicted variance in intelligence and were related to frequency-specific graph metrics in areas predominantly located in parieto-frontal regions, which in turn were associated with intelligence. These findings, based on the first study linking PGS to intelligence using EEG-derived graph metrics, identify candidate pathways through which genetic variation may shape intelligence, providing a foundation for future hypothesis-driven investigations. Data for this study were collected as part of the Dortmund Vital Study ( https://www.researchprotocols.org/2022/3/e32352 ; ClinicalTrials.gov: NCT05155397).
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