ArticleAnnals of the New York Academy of Sciences2021
Lenticular nucleus volume predicts performance in real-time strategy game: cross-sectional and training approach using voxel-based morphometry.
Article in Annals of the New York Academy of Sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Brain Structural Covariance Networks in Long-Term First-Person Shooter and Multiplayer Online Battle Arena Players: Cross-Sectional Study.JMIR serious games · 2026Article
- Gaming expertise induces meso‑scale brain plasticity and efficiency mechanisms as revealed by whole-brain modeling.NeuroImage · 2024Article
- Abnormal neonatal brain microstructure in gestational diabetes mellitus revealed by MRI texture analysis.Scientific reports · 2023Article
- Association between real-time strategy video game learning outcomes and pre-training brain white matter structure: preliminary study.Scientific reports · 2022Article
- Neuroanatomical predictors of complex skill acquisition during video game training.Frontiers in neuroscience · 2022Review
- The role of individual differences in attentional blink phenomenon and real-time-strategy game proficiency.Heliyon · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is unclear why some people learn faster than others. We performed two independent studies in which we investigated the neural basis of real-time strategy (RTS) gaming and neural predictors of RTS game skill acquisition. In the first (cross-sectional) study, we found that experts in the RTS game StarCraft
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Registered trials
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.