Rate of force development and the lateralized readiness potential

Ray, William J.; Slobounov, Semyon; Mordkoff, J. Toby; Johnston, Jamie A.; Simon, Robert

doi:10.1111/1469-8986.3760757

Cited by 20 publications

(4 citation statements)

References 33 publications

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“…If explicit monitoring processes are not responsible for the stereotype influence on RFD, what drove the effect? Rate of force development is modulated by anticipatory processes related to the upcoming motor task (Raghavan, Krakauer, & Gordon, 2006;Ray, Slobounov, Mordkoff, Johnston, & Simon, 2000). One possible explanation, therefore, is that stereotype threat inhibited RFD by influencing the preparatory processes that occurred before task execution.…”

Section: Discussionmentioning

confidence: 99%

Can Stereotype Threat Affect Motor Performance in the Absence of Explicit Monitoring Processes?: Evidence Using a Strength Task

Chalabaev

Brisswalter

Radel

et al. 2013

Journal of Sport and Exercise Psychology

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Previous evidence shows that stereotype threat impairs complex motor skills through increased conscious monitoring of task performance. Given that one-step motor skills may not be susceptible to these processes, we examined whether performance on a simple strength task may be reduced under stereotype threat. Forty females and males performed maximum voluntary contractions under stereotypical or nullified-stereotype conditions. Results showed that the velocity of force production within the first milliseconds of the contraction decreased in females when the negative stereotype was induced, whereas maximal force did not change. In males, the stereotype induction only increased maximal force. These findings suggest that stereotype threat may impair motor skills in the absence of explicit monitoring processes, by influencing the planning stage of force production.

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Section: Discussionmentioning

confidence: 99%

Can Stereotype Threat Affect Motor Performance in the Absence of Explicit Monitoring Processes?: Evidence Using a Strength Task

Chalabaev

Brisswalter

Radel

et al. 2013

Journal of Sport and Exercise Psychology

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“…A comparatively small window was used because the theoretical question concerned the magnitude of the LRP at the moment of response initiation~cf. Ray et al, 2000;Sommer et al, 1994! and also to avoid any reafferent potentials.…”

Section: Methods Of Analysismentioning

confidence: 99%

The lateralized readiness potential and response kinetics in response‐time tasks

Mordkoff

Grosjean

2001

Psychophysiology

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Previous studies have found that the magnitude of the lateralized readiness potential (LRP) at the time of response initiation is constant across spontaneous variations in response time in both cued and uncued, speeded tasks. Other studies have found that the LRP is also unaffected by instructed changes in peak response force and time to peak force in cued, self-paced tasks, but that the LRP is sensitive to instructed changes in force gain rate in uncued, self-paced tasks. The present study examined the LRP in an uncued, speeded task as a function of response time and several measures of response kinetics. The magnitude of the LRP at the time of electromyographic onset was constant across spontaneous variations in all measures. The peak of the contingent negative variation did vary as a function of peak response force and integrated force to peak, but not response time. These findings support the idea that the LRP in speeded tasks is a selective, on-line index of the preparation associated with using a particular hand, and is not an index of the elements of motor programming that determine subsequent response kinetics.

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“…Filtering the EEG in pre‐defined physiological frequency bands did have an impact on classification performance, with delta, gamma and beta frequency bands providing the best classification performance results, in that order (Figure 6, right). Indeed, preparatory activity in electrocortical motor signals is well documented in the delta band, particularly related to the readiness potential and the movement‐related cortical potentials (Ray, Slobounov, Mordkoff, Johnston, & Simon, 2000; Slobounov & Ray, 1998; Shibasaki & Hallett, 2006b). More recently, evidence of pre‐motor activation in the gamma (Gunduz et al., 2016; Schirrmeister et al., 2017) and beta (Tzagarakis, West, & Pellizzer, 2015) ranges has also been reported.…”

Section: Discussionmentioning

confidence: 99%

Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networks

Gatti

Atum

Schiaffino

et al. 2020

Eur J of Neuroscience

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Building accurate movement decoding models from brain signals is crucial for many biomedical applications. Predicting specific movement features, such as speed and force, before movement execution may provide additional useful information at the expense of increasing the complexity of the decoding problem. Recent attempts to predict movement speed and force from the electroencephalogram (EEG) achieved classification accuracies at or slightly above chance levels, highlighting the need for more accurate prediction strategies. Thus, the aims of this study were to accurately predict hand movement speed and force from single‐trial EEG signals and to decode neurophysiological information of motor preparation from the prediction strategies. To these ends, a decoding model based on convolutional neural networks (ConvNets) was implemented and compared against other state‐of‐the‐art prediction strategies, such as support vector machines and decision trees. ConvNets outperformed the other prediction strategies, achieving an overall accuracy of 84% in the classification of two different levels of speed and force (four‐class classification) from pre‐movement single‐trial EEG (100 ms and up to 1,600 ms prior to movement execution). Furthermore, an analysis of the ConvNet architectures suggests that the network performs a complex spatiotemporal integration of EEG data to optimize classification accuracy. These results show that movement speed and force can be accurately predicted from single‐trial EEG, and that the prediction strategies may provide useful neurophysiological information about motor preparation.

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Rate of force development and the lateralized readiness potential

Cited by 20 publications

References 33 publications

Can Stereotype Threat Affect Motor Performance in the Absence of Explicit Monitoring Processes?: Evidence Using a Strength Task

Can Stereotype Threat Affect Motor Performance in the Absence of Explicit Monitoring Processes?: Evidence Using a Strength Task

The lateralized readiness potential and response kinetics in response‐time tasks

Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networks

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