Multifractal Dynamics in Executive Control When Adapting to Concurrent Motor Tasks

Arsac, Laurent M. · 2021 · Crossref

DOI: 10.3389/fphys.2021.662076

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Summary

This study investigates the multifractal dynamics of executive control during the adaptation to concurrent motor tasks, aiming to determine how skilled individuals maintain coordination when performing multiple rhythmic movements simultaneously. The research is motivated by the hypothesis that executive control relies on a multifractal architecture involving multiplicative interactions across temporal scales between the brain, body, and environment. By focusing on elite rugby players with high motor skills, the authors sought to demonstrate that such individuals exhibit a marginal need for effective adaptation, resulting in preserved multifractal motor behavior despite the complexity of dual-tasking. The experimental design involved eight elite female rugby players who performed five conditions across separate days: single-task cycling, finger tapping, and circling, as well as dual-task combinations of cycling with tapping and cycling with circling. Participants synchronized their movements to metronomes (1 Hz for cycling, 2 Hz for tapping/circling) before maintaining the rhythm without auditory cues. Time series data were recorded using light detection for cycling and circling, and sound detection for tapping. The authors applied a focus-based multifractal detrended fluctuation analysis (FMF-DFA) to 512-sample time series to calculate generalized Hurst exponents, $H(q)$, across statistical moments $q = [-15, 15]$. Global monofractal behavior was quantified by $H(2)$, while the degree of multifractality was indexed by the difference $\Delta H_{15} = H(-15) - H(15)$. To validate the presence of true multifractality and distinguish it from linear noise or finite-size effects, the study employed surrogate data testing using shuffled, Davies-Harte, ARFIMA, and phase-randomized (IAAFT) surrogates. The results indicated that participants maintained the target rhythm effectively, with no significant degradation in absolute error during dual-tasking for any condition. While the coefficient of variation increased slightly for tapping during dual-tasking, the global monofractal behavior ($H(2)$) remained unchanged across single and dual-task conditions for cycling, tapping, and circling. Crucially, multifractality dominated in cycling and did not change when challenged by upper limb movements. Similarly, tapping and circling behaviors preserved their multifractal characteristics despite concurrent cycling. Surrogate data testing confirmed the reliability of the multifractal formalism, showing that the observed multifractal signatures were not artifacts of linear processes or noise. The study concludes that coordinated executive control in highly skilled individuals is not modified by the addition of concurrent motor tasks, suggesting that their motor systems possess a robust, preserved adaptability. This stability likely emerges from multiplicative interactions across temporal scales, highlighting the utility of multifractal approaches in capturing critical cues about adaptation in the movement system. The findings imply that extending such analyses to less skilled populations could provide valuable insights into healthy versus diseased movement systems, where adaptation mechanisms may differ.

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StageOutcomeToolModelPromptAttemptsCompleted
discover success Crossref 1 2026-06-20
archive success canonical_url 1 2026-06-26
extract success cached 2 2026-06-26
clean success clean 1 2026-06-20
chunk success chunk 1 2026-06-20
embed success embed Qwen/Qwen3-Embedding-8B 1 2026-06-20
promote success 1 2026-06-20
summarize success llm qwen3.6-27b-prismaquant summ-v5 1 2026-06-26
tag success vector_similarity 6 2026-06-20
verify success 1 2026-06-26

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