Literature DB >> 23123181

Real movement vs. motor imagery in healthy subjects.

Yvonne Höller1, Jürgen Bergmann, Martin Kronbichler, Julia Sophia Crone, Elisabeth Verena Schmid, Aljoscha Thomschewski, Kevin Butz, Verena Schütze, Peter Höller, Eugen Trinka.   

Abstract

Motor imagery tasks are well established procedures in brain computer interfaces, but are also used in the assessment of patients with disorders of consciousness. For testing awareness in unresponsive patients it is necessary to know the natural variance of brain responses to motor imagery in healthy subjects. We examined 22 healthy subjects using EEG in three conditions: movement of both hands, imagery of the same movement, and an instruction to hold both hands still. Single-subject non-parametric statistics were applied to the fast-Fourier transformed data. Most effects were found in the α- and β-frequency ranges over central electrodes, that is, in the μ-rhythm. We found significant power changes in 18 subjects during movement and in 11 subjects during motor imagery. In 8 subjects these changes were consistent over both conditions. The significant power changes during movement were a decrease of μ-rhythm. There were 2 subjects with an increase and 9 subjects with a decrease of μ-rhythm during imagery. α and β are the most responsive frequency ranges, but there is a minor number of subjects who show a synchronization instead of the more common desynchronization during motor imagery. A (de)synchronization of μ-rhythm can be considered to be a normal response.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23123181     DOI: 10.1016/j.ijpsycho.2012.10.015

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  7 in total

1.  EEG-response consistency across subjects in an active oddball task.

Authors:  Yvonne Höller; Aljoscha Thomschewski; Jürgen Bergmann; Martin Kronbichler; Julia S Crone; Elisabeth V Schmid; Kevin Butz; Peter Höller; Eugen Trinka
Journal:  PLoS One       Date:  2013-09-20       Impact factor: 3.240

2.  Mapping brain injury with symmetrical-channels' EEG signal analysis--a pilot study.

Authors:  Yi Li; Xiao-ping Liu; Xian-hong Ling; Jing-qi Li; Wen-wei Yang; Dan-ke Zhang; Li-hua Li; Yong Yang
Journal:  Sci Rep       Date:  2014-05-21       Impact factor: 4.379

3.  Combined Action Observation and Motor Imagery Neurofeedback for Modulation of Brain Activity.

Authors:  Christopher L Friesen; Timothy Bardouille; Heather F Neyedli; Shaun G Boe
Journal:  Front Hum Neurosci       Date:  2017-01-10       Impact factor: 3.169

4.  HD-EEG Based Classification of Motor-Imagery Related Activity in Patients With Spinal Cord Injury.

Authors:  Yvonne Höller; Aljoscha Thomschewski; Andreas Uhl; Arne C Bathke; Raffaele Nardone; Stefan Leis; Eugen Trinka; Peter Höller
Journal:  Front Neurol       Date:  2018-11-19       Impact factor: 4.086

5.  Comparison of EEG-features and classification methods for motor imagery in patients with disorders of consciousness.

Authors:  Yvonne Höller; Jürgen Bergmann; Aljoscha Thomschewski; Martin Kronbichler; Peter Höller; Julia S Crone; Elisabeth V Schmid; Kevin Butz; Raffaele Nardone; Eugen Trinka
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

6.  Temporal dynamics of sensorimotor integration in speech perception and production: independent component analysis of EEG data.

Authors:  David Jenson; Andrew L Bowers; Ashley W Harkrider; David Thornton; Megan Cuellar; Tim Saltuklaroglu
Journal:  Front Psychol       Date:  2014-07-10

7.  Grasping hand verbs: oscillatory beta and alpha correlates of action-word processing.

Authors:  Valentina Niccolai; Anne Klepp; Hannah Weissler; Nienke Hoogenboom; Alfons Schnitzler; Katja Biermann-Ruben
Journal:  PLoS One       Date:  2014-09-23       Impact factor: 3.240

  7 in total

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