Why does the Quiet Eye improve aiming accuracy? Testing a motor preparation hypothesis with brain potential

Mizusaki, Yuuki; Ikudome, Sachi; Ishii, Yasumitsu; Unenaka, Satoshi; Funo, Taishi; Takeuchi, Tatsuya; Ogasa, Kisho; Mori, Susumu; Nakamoto, Hiroki

doi:10.1007/s10339-018-0890-5

Cited by 4 publications

(7 citation statements)

References 25 publications

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“…Twelve studies investigated multiple EEG measurement or signal processing techniques ( Khaliliardali et al, 2012 , 2015 ; Singh et al, 2016 ; Jeong et al, 2017 ; Sburlea et al, 2017 ; Rashid et al, 2018 ; Eilbeigi and Setarehdan, 2018a , b ; Karimi and Jiang, 2019 ; Moinnereau et al, 2019 ; Russo et al, 2019 ; Schwarz et al, 2020a ). The six experimental studies consisted of two randomized controlled trials ( Mizusaki et al, 2019 ; Peters et al, 2020 ), one non-randomized controlled trial ( Fromer et al, 2016 ), one randomized cross-over trial ( Barthel et al, 2001 ), one non-randomized cross-over trial ( Mrachacz-Kersting et al, 2019a ), and one non-controlled trial ( Wright et al, 2012a ).…”

Section: Resultsmentioning

confidence: 99%

“…The remaining five experimental studies used the MRCP as an outcome measure to determine the effect of an intervention. The movement tasks used to measure the MRCP were all used as part of the interventions, for example; pedaling ( Barthel et al, 2001 ), dart throwing ( Fromer et al, 2016 ; Mizusaki et al, 2019 ), guitar playing ( Wright et al, 2012a ), and step-ups ( Peters et al, 2020 ). Two studies showed a decrease in MRCP amplitude with improved performance in dart throwing ( Fromer et al, 2016 ) and guitar playing ( Wright et al, 2012a ).…”

Section: Resultsmentioning

confidence: 99%

“…The only experimental study that was undertaken with participants with stroke ( n = 7) observed a decrease in the duration of MRCPs recorded during step-ups following 12 training sessions (physical therapy or fast stepping training), although there was no statistical analysis ( Peters et al, 2020 ). A final study investigated MRCP changes following nine dart throwing sessions using eye gaze training or control training; they reported no significant between-group differences in MRCP amplitude, but did not report within-group changes ( Mizusaki et al, 2019 ).…”

Section: Resultsmentioning

confidence: 99%

“…Five of the six experimental studies utilized the MRCP as an outcome measure; three of these studies detected changes in the MRCP in response to the interventions ( Barthel et al, 2001 ; Wright et al, 2012a ; Fromer et al, 2016 ) and one small study observed changes but did not perform a statistical analysis ( Peters et al, 2020 ). The movement tasks used to record the signal were all relevant to the interventions being assessed ( Barthel et al, 2001 ; Wright et al, 2012a ; Fromer et al, 2016 ; Mizusaki et al, 2019 ; Peters et al, 2020 ). For example, Peters et al used step-ups to record the MRCP, which were also part of the fast muscle training and stepping activation intervention under investigation ( Peters et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

“…For example, Peters et al used step-ups to record the MRCP, which were also part of the fast muscle training and stepping activation intervention under investigation ( Peters et al, 2020 ). Two other studies trained dart throwing and used a simulated or real dart throw to record the MRCP ( Fromer et al, 2016 ; Mizusaki et al, 2019 ). While this body of research is small, it is promising that these studies have successfully measured intervention efficacy using an MRCP recorded during ecologically valid movements.…”

Section: Discussionmentioning

confidence: 99%

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Electroencephalographic Recording of the Movement-Related Cortical Potential in Ecologically Valid Movements: A Scoping Review

et al. 2021

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The movement-related cortical potential (MRCP) is a brain signal that can be recorded using surface electroencephalography (EEG) and represents the cortical processes involved in movement preparation. The MRCP has been widely researched in simple, single-joint movements, however, these movements often lack ecological validity. Ecological validity refers to the generalizability of the findings to real-world situations, such as neurological rehabilitation. This scoping review aimed to synthesize the research evidence investigating the MRCP in ecologically valid movement tasks. A search of six electronic databases identified 102 studies that investigated the MRCP during multi-joint movements; 59 of these studies investigated ecologically valid movement tasks and were included in the review. The included studies investigated 15 different movement tasks that were applicable to everyday situations, but these were largely carried out in healthy populations. The synthesized findings suggest that the recording and analysis of MRCP signals is possible in ecologically valid movements, however the characteristics of the signal appear to vary across different movement tasks (i.e., those with greater complexity, increased cognitive load, or a secondary motor task) and different populations (i.e., expert performers, people with Parkinson’s Disease, and older adults). The scarcity of research in clinical populations highlights the need for further research in people with neurological and age-related conditions to progress our understanding of the MRCPs characteristics and to determine its potential as a measure of neurological recovery and intervention efficacy. MRCP-based neuromodulatory interventions applied during ecologically valid movements were only represented in one study in this review as these have been largely delivered during simple joint movements. No studies were identified that used ecologically valid movements to control BCI-driven external devices; this may reflect the technical challenges associated with accurately classifying functional movements from MRCPs. Future research investigating MRCP-based interventions should use movement tasks that are functionally relevant to everyday situations. This will facilitate the application of this knowledge into the rehabilitation setting.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Electroencephalographic Recording of the Movement-Related Cortical Potential in Ecologically Valid Movements: A Scoping Review

et al. 2021

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Neurophysiological evidence of how quiet eye supports motor performance

Sun

Wilson

2021

Cogn Process

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Predicting Basketball Shot Outcome From Visuomotor Control Data Using Explainable Machine Learning

Aitcheson-Huehn,

MacPherson,

Panchuk

et al. 2024

Journal of Sport &Amp; Exercise Psychology

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Quiet eye (QE), the visual fixation on a target before initiation of a critical action, is associated with improved performance. While QE is trainable, it is unclear whether QE can directly predict performance, which has implications for training interventions. This study predicted basketball shot outcome (make or miss) from visuomotor control variables using a decision tree classification approach. Twelve basketball athletes completed 200 shots from six on-court locations while wearing mobile eye-tracking glasses. Training and testing data sets were used for modeling eight predictors (shot location, arm extension time, and absolute and relative QE onset, offset, and duration) via standard and conditional inference decision trees and random forests. On average, the trees predicted over 66% of makes and over 50% of misses. The main predictor, relative QE duration, indicated success for durations over 18.4% (range: 14.5%–22.0%). Training to prolong QE duration beyond 18% may enhance shot success.

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Why does the Quiet Eye improve aiming accuracy? Testing a motor preparation hypothesis with brain potential

Cited by 4 publications

References 25 publications

Electroencephalographic Recording of the Movement-Related Cortical Potential in Ecologically Valid Movements: A Scoping Review

Electroencephalographic Recording of the Movement-Related Cortical Potential in Ecologically Valid Movements: A Scoping Review

Neurophysiological evidence of how quiet eye supports motor performance

Predicting Basketball Shot Outcome From Visuomotor Control Data Using Explainable Machine Learning

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