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Open AccessArticle

Optimization of the Navigated TMS Mapping Algorithm for Accurate Estimation of Cortical Muscle Representation Characteristics

1
Department of Neurorehabilitation and Physiotherapy, Research Center of Neurology, 125367 Moscow, Russia
2
Quantum Computer Physics Laboratory, Valiev Institute of Physics and Technology of Russian Academy of Sciences, 117218 Moscow, Russia
*
Author to whom correspondence should be addressed.
Brain Sci. 2019, 9(4), 88; https://doi.org/10.3390/brainsci9040088
Received: 17 March 2019 / Revised: 16 April 2019 / Accepted: 17 April 2019 / Published: 19 April 2019
(This article belongs to the Section Neuroimaging)
Navigated transcranial magnetic stimulation (nTMS) mapping of cortical muscle representations allows noninvasive assessment of the state of a healthy or diseased motor system, and monitoring changes over time. These applications are hampered by the heterogeneity of existing mapping algorithms and the lack of detailed information about their accuracy. We aimed to find an optimal motor evoked potential (MEP) sampling scheme in the grid-based mapping algorithm in terms of the accuracy of muscle representation parameters. The abductor pollicis brevis (APB) muscles of eight healthy subjects were mapped three times on consecutive days using a seven-by-seven grid with ten stimuli per cell. The effect of the MEP variability on the parameter accuracy was assessed using bootstrapping. The accuracy of representation parameters increased with the number of stimuli without saturation up to at least ten stimuli per cell. The detailed sampling showed that the between-session representation area changes in the absence of interventions were significantly larger than the within-session fluctuations and thus could not be explained solely by the trial-to-trial variability of MEPs. The results demonstrate that the number of stimuli has no universally optimal value and must be chosen by balancing the accuracy requirements with the mapping time constraints in a given problem. View Full-Text
Keywords: navigated transcranial magnetic stimulation; TMS motor mapping; cortical muscle representation; bootstrapping; variability; accuracy navigated transcranial magnetic stimulation; TMS motor mapping; cortical muscle representation; bootstrapping; variability; accuracy
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Sinitsyn, D.O.; Chernyavskiy, A.Y.; Poydasheva, A.G.; Bakulin, I.S.; Suponeva, N.A.; Piradov, M.A. Optimization of the Navigated TMS Mapping Algorithm for Accurate Estimation of Cortical Muscle Representation Characteristics. Brain Sci. 2019, 9, 88.

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