Personality meta-traits are associated with neural control regimes governing the persistence–flexibility trade-off
Human personality is highly structured, yet the mechanisms giving rise to this structure remain poorly understood. Although the Big Five framework provides a robust descriptive taxonomy, it offers limited insight into why personality traits cluster into higher-order dimensions or how these dimensions relate to adaptive behavior. Here we address this gap by linking personality meta-traits to neural dynamics governing the stability–flexibility trade-off in cognitive control. Using electrophysiological recordings and latent-variable modeling ( N = 160), we show that individual differences in metacontrol adjustment—indexed by variability in the aperiodic component of EEG activity—predict the Big Five meta-traits of Stability (Persistence) and Plasticity (Flexibility). Critically, these associations emerge at the neural level but not at the behavioral level, indicating that domain-general control dynamics provide a more direct window into personality structure than task performance alone. These findings suggest that personality meta-traits reflect enduring biases in a neural control regime that regulates how humans balance persistence and adaptability across contexts. By linking personality structure to a mechanistic principle of neural control, our results move beyond descriptive trait models and offer a unified account of individual differences in human behavior.
Authors
- Bernhard Hommel (ORCID: https://orcid.org/0000-0003-4731-5125)
- Tanja Könen (ORCID: https://orcid.org/0000-0002-1513-2415)
- Lorenza Colzato (ORCID: https://orcid.org/0000-0003-1735-1280)
- Jimin Yan
- Hongchi Zhang
Institutions
- Shandong Normal University (CN)
- University of Koblenz and Landau (DE)
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Publication Details
- Journal
- Personality and Individual Differences
- Published
- 2026-09-11
- DOI
- https://doi.org/10.1016/j.paid.2026.114082
- Primary Topic
- Personality Traits and Psychology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Department of Science and Technology of Shandong Province