2014
DOI: 10.1097/wnp.0000000000000057
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Efficient and Reliable Characterization of the Corticospinal System Using Transcranial Magnetic Stimulation

Abstract: Purpose The purpose of this study is to develop a method to reliably characterize multiple features of the corticospinal system in a more efficient manner than typically done in transcranial magnetic stimulation (TMS) studies. Methods Forty TMS pulses of varying intensity were given over the first dorsal interosseous motor hot spot in 10 healthy adults. The FDI motor evoked potential (MEP) size was recorded during rest and activation to create recruitment curves. The Boltzmann sigmoidal function was fit to t… Show more

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Cited by 64 publications
(65 citation statements)
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“…MEPmax was calculated with a stimulus/response curve performed at the beginning of the experiment. We recorded eight MEPs for each stimulus intensity starting at 110% of rMT with incrementing steps of 10% rMT up to MEPmax (Kukke et al, 2014;Pitcher et al, 2015). In the current study, the TS Intensity required to elicit the MEPtarget at rest corresponded on average to 124% rMT 6 (range 112-150 %rMT).…”
Section: Adaptive Threshold-hunting Techniquementioning
confidence: 73%
“…MEPmax was calculated with a stimulus/response curve performed at the beginning of the experiment. We recorded eight MEPs for each stimulus intensity starting at 110% of rMT with incrementing steps of 10% rMT up to MEPmax (Kukke et al, 2014;Pitcher et al, 2015). In the current study, the TS Intensity required to elicit the MEPtarget at rest corresponded on average to 124% rMT 6 (range 112-150 %rMT).…”
Section: Adaptive Threshold-hunting Techniquementioning
confidence: 73%
“…This normalization helps to consider the well‐known interindividual variances in RMT. RC was assessed using the intensities of 130%, 140%, and 150% of the individual RMT 25. For the statistical analyses, we calculated the mean of 10 MEP per intensity.…”
Section: Methodsmentioning
confidence: 99%
“…Curve fitting of the Boltzmann equation was done using the Levenberg-Marquardt algorithm (Seber and Wild, 2003) in Matlab (nlinfit function, The MathWorks, Inc.). This method has been described previously (Kukke et al, 2014). The test stimulus (TS) was S 50 , or the stimulation intensity that produces an MEP equal to 50% of MEP max .…”
Section: Methodsmentioning
confidence: 99%