EEG changes during sequences of visual and kinesthetic motor imagery.

The evoked cerebral electric response when sequences of complex motor imagery (MI) task are executed several times is still unclear. This work aims at investigating the existence of habituation in the cortical response, more specifically in the alpha band peak of parietal and occipital areas (10-20 international system electroencephalogram, EEG, protocol). The EEG signals were acquired during sequences of MI of volleyball spike movement in kinesthetic and visual modalities and also at control condition. Thirty right-handed male subjects (18 to 40 years) were assigned to either an 'athlete' or a 'non-athlete' group, both containing 15 volunteers. Paired Wilcoxon tests (with alpha=0.05) indicates that sequential MI of complex tasks promotes cortical changes, mainly in the power vicinity of the alpha peak. This finding is more pronounced along the initial trials and also for the athletes during the modality of kinesthetic motor imagery.

[1]  Gavin S. Lew,et al.  P300, habituation, and response mode , 1993, Physiology & Behavior.

[2]  S. Small,et al.  Fine modulation in network activation during motor execution and motor imagery. , 2004, Cerebral cortex.

[3]  J. Polich,et al.  On P300 measurement stability: habituation, intra-trial block variation, and ultradian rhythms , 1999, Biological Psychology.

[4]  C. Collet,et al.  Imagery Quality Estimated by Autonomic Response Is Correlated to Sporting Performance Enhancement , 1999, Physiology & Behavior.

[5]  C. Hall,et al.  Measuring movement imagery abilities: A revision of the Movement Imagery Questionnaire. , 1997 .

[6]  J. G. Cremades.  The effects of imagery perspective as a function of skill level on alpha activity. , 2002 .

[7]  T. Takeshita,et al.  P300 habituation from auditory single-stimulus and oddball paradigms. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[8]  Michael G. Lacourse,et al.  Event-related potentials as a function of movement parameter variations during motor imagery and isometric action , 2000, Behavioural Brain Research.

[9]  Yoko Akiyama,et al.  The Development of BCI Using Alpha Waves for Controlling the Robot Arm , 2008, IEICE Trans. Commun..

[10]  D Bottger.  Amplitude differences of evoked alpha and gamma oscillations in two different age groups , 2002 .

[11]  T. Pozzo,et al.  Improvement and generalization of arm motor performance through motor imagery practice , 2006, Neuroscience.

[12]  D. F. Marks,et al.  Topographical distribution of EEG activity accompanying visual and motor imagery in vivid and non-vivid imagers. , 1995, British journal of psychology.

[13]  Yusuf Uzzaman Khan,et al.  EEG single-trial classification of different motor imagery tasks using measures of dispersion and power in frequency bands , 2012 .

[14]  C. Tierra-Criollo,et al.  Low-frequency oscillations in human tibial somatosensory evoked potentials. , 2006, Arquivos de neuro-psiquiatria.

[15]  A. Sirigu,et al.  Motor and Visual Imagery as Two Complementary but Neurally Dissociable Mental Processes , 2001, Journal of Cognitive Neuroscience.

[16]  Jing Z. Liu,et al.  From mental power to muscle power—gaining strength by using the mind , 2004, Neuropsychologia.

[17]  E. Gordon,et al.  Spontaneous alpha peak frequency predicts working memory performance across the age span. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[18]  John C. Hall,et al.  Imagery practice and the development of surgical skills. , 2002, American journal of surgery.

[19]  Clemens Brunner,et al.  Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks , 2006, NeuroImage.

[20]  Nicholas G Martin,et al.  Genetic variation of individual alpha frequency (IAF) and alpha power in a large adolescent twin sample. , 2006, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[21]  Antonio Fernando Catelli Infantosi,et al.  A Statistical Test for Evaluating the Event-Related Synchronization/Desynchronization and its Potential use in Brain-Computer-Interfaces , 2007 .

[22]  M. Neale,et al.  Are Smarter Brains Running Faster? Heritability of Alpha Peak Frequency, IQ, and Their Interrelation , 2001, Behavior genetics.

[23]  R. Passingham,et al.  The left parietal cortex and motor attention , 1997, Neuropsychologia.

[24]  J. Decety,et al.  Brain structures participating in mental simulation of motor behavior: a neuropsychological interpretation. , 1990, Acta psychologica.

[25]  F. L. D. Silva,et al.  Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.

[26]  A. F. C. Infantosi,et al.  Alterações na banda alfa do eletrencefalograma durante imagética motora visual e cinestésica , 2007 .

[27]  G. Pfurtscheller,et al.  Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. , 2005, Brain research. Cognitive brain research.