Literature DB >> 23331497

Using kinematic analysis of movement to predict the time occurrence of an evoked potential associated with a motor command.

Christian O'Reilly1, Réjean Plamondon, Mohamed K Landou, Brigitte Stemmer.   

Abstract

This article presents an exploratory study investigating the possibility of predicting the time occurrence of a motor event related potential (ERP) from a kinematic analysis of human movements. Although the response-locked motor potential may link the ERP components to the recorded response, to our knowledge no previous attempt has been made to predict a priori (i.e. before any contact with the electroencephalographic data) the time occurrence of an ERP component based only on the modeling of an overt response. The proposed analysis relies on the delta-lognormal modeling of velocity, as proposed by the kinematic theory of rapid human movement used in several studies of motor control. Although some methodological aspects of this technique still need to be fine-tuned, the initial results showed that the model-based kinematic analysis allowed the prediction of the time occurrence of a motor command ERP in most participants in the experiment. The average map of the motor command ERPs showed that this signal was stronger in electrodes close to the contra-lateral motor area (Fz, FCz, FC1, and FC3). These results seem to support the claims made by the kinematic theory that a motor command is emitted at time t(0), the time reference parameter of the model. This article proposes a new time marker directly associated with a cerebral event (i.e. the emission of a motor command) that can be used for the development of new data analysis methodologies and for the elaboration of new experimental protocols based on ERP.
© 2012 Federation of European Neuroscience Societies and Blackwell Publishing Ltd.

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Year:  2013        PMID: 23331497     DOI: 10.1111/ejn.12039

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  4 in total

1.  The lognormal handwriter: learning, performing, and declining.

Authors:  Réjean Plamondon; Christian O'Reilly; Céline Rémi; Thérésa Duval
Journal:  Front Psychol       Date:  2013-12-19

2.  Central and Peripheral Shoulder Fatigue Pre-screening Using the Sigma-Lognormal Model: A Proof of Concept.

Authors:  Anaïs Laurent; Réjean Plamondon; Mickael Begon
Journal:  Front Hum Neurosci       Date:  2020-05-19       Impact factor: 3.169

3.  Linking brain stroke risk factors to human movement features for the development of preventive tools.

Authors:  Christian O'Reilly; Réjean Plamondon; Louise-Hélène Lebrun
Journal:  Front Aging Neurosci       Date:  2014-07-08       Impact factor: 5.750

4.  A 12-Week Cycling Training Regimen Improves Upper Limb Functions in People With Parkinson's Disease.

Authors:  Alexandra Nadeau; Ovidiu Lungu; Arnaud Boré; Réjean Plamondon; Catherine Duchesne; Marie-Ève Robillard; Florian Bobeuf; Anne-Louise Lafontaine; Freja Gheysen; Louis Bherer; Julien Doyon
Journal:  Front Hum Neurosci       Date:  2018-09-11       Impact factor: 3.169

  4 in total

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