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Feasibility of automated analysis and inter-examiner variability of cortical silent period induced by transcranial magnetic stimulation.

Authors :
Julkunen P
Kallioniemi E
Könönen M
Säisänen L
Source :
Journal of neuroscience methods [J Neurosci Methods] 2013 Jul 15; Vol. 217 (1-2), pp. 75-81. Date of Electronic Publication: 2013 May 06.
Publication Year :
2013

Abstract

Cortical silent period (cSP) is a short interruption in electromyography (EMG) during active muscle contraction induced with transcranial magnetic stimulation (TMS). The cSP is a measure of cortical inhibition and is believed to represent inhibitory interneuron effects on excited motor cortical areas. Several pathological conditions and pharmacological manipulations induce changes to cSP duration indicating alterations in intracortical inhibition. At present, it is common to manually analyse the cSP duration from measured EMG. However, to avoid inter-examiner effects on cSP interpretation and detection, as well as to allow for quick measurement online, automated routine would be preferable. In this study, we evaluate the feasibility of a straight-forward cSP detection routine based on analysing the rectified first derivative of the EMG signal following TMS. Previously measured cSPs of 54 healthy subjects were reanalysed manually by two of the authors and using the automated routine. Furthermore, we recruited one subject for whom the cSPs were induced with several stimulation intensities, and those cSPs were analysed manually by two of the authors as well as using the automated routine. We found that cSPs were detected correctly by the automated cSP detection routine, and agreement with manually analysed subject-specific mean cSPs was excellent (ICC=0.992, p<0.001). The inter-examiner variability was similar to the variability between manual and automated analysis. Hence, we believe the introduced cSP detection routine would be feasible for online cSP detection, in such a way that is presently used to detect the motor evoked potentials.<br /> (Copyright © 2013 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-678X
Volume :
217
Issue :
1-2
Database :
MEDLINE
Journal :
Journal of neuroscience methods
Publication Type :
Academic Journal
Accession number :
23660523
Full Text :
https://doi.org/10.1016/j.jneumeth.2013.04.019