Temporal and spectral electrooculographic features in a discrete precision task.

Autor:	Gallicchio G; School of Psychology and Sport Science, Bangor University, Bangor, UK., Ryu D; School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.; Department of Physical Education, Seoul National University, Seoul, Republic of Korea., Krishnani M; School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK., Tasker GL; School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK., Pecunioso A; Department of General Psychology, University of Padova, Padova, Italy., Jackson RC; School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Jazyk:	angličtina
Zdroj:	Psychophysiology [Psychophysiology] 2024 Mar; Vol. 61 (3), pp. e14461. Date of Electronic Publication: 2023 Oct 19.
DOI:	10.1111/psyp.14461
Abstrakt:	This study aimed to evaluate the utility and applicability of electrooculography (EOG) when studying ocular activity during complex motor behavior. Due to its lower spatial resolution relative to eye tracking (ET), it is unclear whether EOG can provide valid and accurate temporal measurements such as the duration of the Quiet Eye (QE), that is the uninterrupted dwell time on the visual target prior to and during action. However, because of its greater temporal resolution, EOG is better suited for temporal-spectral decomposition, a technique that allows us to distinguish between lower and higher frequency activity as a function of time. Sixteen golfers of varying expertise (novices to experts) putted 60 balls to a 4-m distant target on a flat surface while we recorded EOG, ET, performance accuracy, and putter kinematics. Correlational and discrepancy analyses confirmed that EOG yielded valid and accurate QE measurements, but only when using certain processing parameters. Nested cross-validation indicated that, among a set of ET and EOG temporal and spectral oculomotor features, EOG power was the most useful when predicting performance accuracy through robust regression. Follow-up cross-validation and correlational analyses revealed that more accurate performance was preceded by diminished lower-frequency activity immediately before movement initiation and elevated higher-frequency activity during movement recorded from the horizontal channel. This higher-frequency activity was also found to accompany a smoother movement execution. This study validates EOG algorithms (code provided) for measuring temporal parameters and presents a novel approach to extracting temporal and spectral oculomotor features during complex motor behavior. (© 2023 The Authors. Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research.)
Databáze:	MEDLINE
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