Literature DB >> 46821

EEG correlates of visual-motor practice in man.

J Busk, G C Galbraith.   

Abstract

Special analysis of EEG signals was performed for 15 subjects engaged in three motor tasks of differing difficulty. A measure of average weighted coherence (C) was computed between the six possible combinations of four scalp areas: Oz, C3, C4 and Fz. In all subjects, regardless of task, scalp recordings over cortical areas known to have relatively dense fiber connections had significantly greater C values. However, the effects of task difficulty and practice were superimposed upon this basic pattern. Thus, the most difficult task (pursuit-rotor tracking) resulted in the highest coherence levels, while the least difficult task (visual tracking only of the pursuit-rotor disk) resulted in the lowest coherence levels. Practice, on the other hand, was associated with a significant decrease in overall level of coherence. This decrease is consistent with an interpretation of reduced task difficulty due to visual-motor learning. The results of the present study suggest that patterns of scalp EEG coherence may reflect some aspects of the underlying pattern of anatomical pathways, as well as the more dynamic properties of task difficulty and visual--motor practice.

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Year:  1975        PMID: 46821     DOI: 10.1016/0013-4694(75)90265-5

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  14 in total

1.  Topographical changes in the ongoing EEG related to the difficulty of mental tasks.

Authors:  A Gundel; G F Wilson
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

2.  The reference problem and mapping of coherence: a simulation study.

Authors:  P Rappelsberger
Journal:  Brain Topogr       Date:  1989 Fall-Winter       Impact factor: 3.020

3.  Coordinate processing during the left-to-right hand transfer investigated by EEG.

Authors:  Regine K Lange; Christoph Braun; Ben Godde
Journal:  Exp Brain Res       Date:  2005-11-18       Impact factor: 1.972

4.  Changes of slow cortical negative DC-potentials during the acquisition of a complex finger motor task.

Authors:  J Niemann; T Winker; J Gerling; B Landwehrmeyer; R Jung
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

5.  Calculation of event-related coherence--a new method to study short-lasting coupling between brain areas.

Authors:  P Rappelsberger; G Pfurtscheller; O Filz
Journal:  Brain Topogr       Date:  1994       Impact factor: 3.020

6.  Electroencephalographic coherence, aging, and memory: distinct responses to background context and stimulus repetition in younger, older, and older declined groups.

Authors:  Michael Hogan; Peter Collins; Michael Keane; Liam Kilmartin; Jochen Kaiser; Joanne Kenney; Robert Lai; Neil Upton
Journal:  Exp Brain Res       Date:  2011-05-17       Impact factor: 1.972

7.  Probability mapping: power and coherence analyses of cognitive processes.

Authors:  P Rappelsberger; H Petsche
Journal:  Brain Topogr       Date:  1988       Impact factor: 3.020

8.  Psychophysiological support of increasing attentional reserve during the development of a motor skill.

Authors:  Jeremy C Rietschel; Craig G McDonald; Ronald N Goodman; Matthew W Miller; Lauren M Jones-Lush; George F Wittenberg; Bradley D Hatfield
Journal:  Biol Psychol       Date:  2014-10-23       Impact factor: 3.251

9.  Electroencephalographic coherence analysis in multiple sclerosis: correlation with clinical, neuropsychological, and MRI findings.

Authors:  L Leocani; T Locatelli; V Martinelli; M Rovaris; M Falautano; M Filippi; G Magnani; G Comi
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10.  Inter-hemispheric EEG coherence analysis in Parkinson's disease: assessing brain activity during emotion processing.

Authors:  R Yuvaraj; M Murugappan; Norlinah Mohamed Ibrahim; Kenneth Sundaraj; Mohd Iqbal Omar; Khairiyah Mohamad; R Palaniappan; M Satiyan
Journal:  J Neural Transm (Vienna)       Date:  2014-06-04       Impact factor: 3.575

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