Motor cortical responsiveness to attempted movements in tetraplegia: Evidence from neuroelectrical imaging

The maintenance of a motor cortical program in the temporal domain is relevant to current neuroinformatic efforts to use non-invasive EEG signals to control neuroprosthetic devices designed to restore natural movements of paralyzed body parts. Here we use an advance neuroelectrical imaging approach...

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Published inClinical neurophysiology Vol. 120; no. 1; pp. 181 - 189
Main Authors Mattia, Donatella, Cincotti, Febo, Astolfi, Laura, de Vico Fallani, Fabrizio, Scivoletto, Giorgio, Marciani, Maria Grazia, Babiloni, Fabio
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ireland Ltd 01.01.2009
Elsevier
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Summary:The maintenance of a motor cortical program in the temporal domain is relevant to current neuroinformatic efforts to use non-invasive EEG signals to control neuroprosthetic devices designed to restore natural movements of paralyzed body parts. Here we use an advance neuroelectrical imaging approach to examine the motor cortical responsiveness in human tetraplegia. High resolution-electroencephalographic (EEG) recordings were performed in five subjects with tetraplegia due to chronic, complete spinal cord injuries (SCIs) while they attempted self-generated movements of a plegic body part (foot), and in five healthy subjects executing simple foot movements. Self-generated movement attempts induced significant EEG sources of activity in a set of motor-related areas (including the primary motor area, MI) similar to what observed during the preparatory stages of movement execution (control subjects). Functional connectivity showed a preferential interaction between the “non-primary” motor areas and the putative MI foot site, as estimated for both motor execution and attempt. Under this latter condition however, it could be observed an “enlargement” of the functional network by including the left superior parietal cortex. Our findings indicate the existence of a functional circuit subserving the attempted motion in SCI subjects that encompasses a set of areas known to play a role in motor execution, yet reveals differences in the functional interaction between these areas. The understanding of changes in the motor circuitry is relevant to current neuroinformatic efforts to use non-invasive EEG signals to control neuroprosthetic devices designed to benefit paralyzed persons.
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ISSN:1388-2457
1872-8952
1872-8952
DOI:10.1016/j.clinph.2008.09.023