ArticleExperimental brain research2025
The electrocortical activity of elite Rubik's cube athletes while solving the cube.
Article in Experimental brain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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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.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Electroencephalography in motor decision-making: a scoping review in athletes.Frontiers in psychology · 2026Pooled it
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Solving the Rubik's Cube (RC) swiftly demands intricate cognitive abilities to generate strategic and precise movements, and the electrocortical demands in high-level RC athletes have not been explored. Therefore, we aimed at examining the electrocortical activity associated with planning and executing the RC, alongside tasks assessing planning, fine motor skills, spatial working memory, and visuospatial ability. Thirteen experienced male speed-cubers underwent EEG recordings while performing RC-related tasks (planning and execution), Tower of London (TOL), Judgment of Line Angle and Position-15 (JLAP), Memory Match (MEM), and Fine Motor Skills (FMS). Our results demonstrated that speed-cubers presented similar EEG power spectrum when planning and executing the RC across all frequency bands (p > 0.05). Pearson's correlation demonstrated that Delta-band EEG power spectrum in the occipital lobe exhibited a significant association with RC execution (r = 0.71, p = 0.009), underscoring the importance of visuomotor integration. Similarly, JLAP performance correlated significantly with frontal (r=-0.65, p = 0.022) and occipital EEG power spectrum (r=-0.57, p = 0.048) at the Delta-band, emphasizing the role of visuospatial abilities. Moreover, TOL performance correlated significantly with temporal EEG power spectrum at the Delta- (r=-0.64, p = 0.025) and Theta-band (r = 0.67, p = 0.011), highlighting the role of planning abilities while solving the RC. In conclusion, this study sheds light on the complex neural mechanisms underlying speed-cubing, revealing intricate neural signatures across multiple brain regions associated with RC-related tasks and isolated cognitive activities. Understanding these neurocognitive underpinnings could pave the way for enhanced training protocols in tasks demanding high-level cognitive and motor skills.
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