Literature DB >> 10900059

EEG correlates of wrist kinematics as revealed by averaging techniques and Morlet wavelet transforms.

S Slobounov1, R Simon, R Tutwiler, M Rearick.   

Abstract

The question regarding the invariant movement properties the central nervous system may organize to accomplish different motor task demands as reflected in EEG remains unsolved. Surprisingly, no systematic electrocortical research in humans has related movement preparation with different movement distance, although this area has been widely investigated in the field of motor control. This study examined whether the amplitude of discrete wrist movements influences the various EEG components both in time and frequency domains. Time-domain averaging techniques and Morlet wavelet transforms of EEG single trials were applied in order to extract three components [BP(0), N1, and LPS] of movement related potentials (MRP) and to quantify changes in oscillatory activity of the movement-induced EEG waveforms accompanying 20, 40, and 60 unilateral wrist flexion movements. The experimental manipulations induced systematic changes in BP(0) and N1 amplitude along the midline (Fz, Cz, and Pz) with 20 movement showing the most negativity and 60 the least. The dominant energy within a 30-50 frequency cluster from bilateral precentral (C3, Cz, C4), frontal (F3, Fz, F4), and parietal (P3, Pz, P4) areas with maximum at vertex (Cz) also appeared to be sensitive to movement amplitude with the least power observed during 60 wrist flexion. This suggests that movement amplitude may be a controllable variable that is highly related with task-specific cortical activation primarily at frontocentral areas as reflected in EEG.

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Year:  2000        PMID: 10900059     DOI: 10.1123/mcj.4.3.350

Source DB:  PubMed          Journal:  Motor Control        ISSN: 1087-1640            Impact factor:   1.422


  2 in total

1.  Alteration of cortical functional connectivity as a result of traumatic brain injury revealed by graph theory, ICA, and sLORETA analyses of EEG signals.

Authors:  C Cao; S Slobounov
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-07-17       Impact factor: 3.802

2.  Modulation of cortical activity as a result of voluntary postural sway direction: an EEG study.

Authors:  Semyon Slobounov; Mark Hallett; Cheng Cao; Karl Newell
Journal:  Neurosci Lett       Date:  2008-07-12       Impact factor: 3.046

  2 in total

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