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Offline coil position denoising enhances detection of TMS effects

Leonardo Claudino, Sara J Hussain, Ethan R Buch, Leonardo G Cohen
doi: https://doi.org/10.1101/256081
Leonardo Claudino
aHuman Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Building 10, Room 7D54, Bethesda, MD 20892, USA
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Sara J Hussain
aHuman Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Building 10, Room 7D54, Bethesda, MD 20892, USA
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Ethan R Buch
aHuman Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Building 10, Room 7D54, Bethesda, MD 20892, USA
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Leonardo G Cohen
aHuman Cortical Physiology and Neurorehabilitation Section, NINDS, NIH, Building 10, Room 7D54, Bethesda, MD 20892, USA
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ABSTRACT

OBJECTIVE: Transcranial magnetic stimulation (TMS) is extensively used in basic and clinical neuroscience. Previous work has shown substantial residual variability in TMS effects even despite use of on-line visual feedback monitoring of coil position. Here, we aimed to evaluate if off-line modeling of coil position and orientation deviations can enhance detection of TMS effects. METHODS: Retrospective modeling was used to denoise the impact of common coil position and rotation deviations during TMS experimental sessions on motor evoked potentials (MEP) to single pulse TMS. RESULTS: Offline denoising led to a 26.19% improvement in the signal to noise ratio (SNR) of corticospinal excitability measurements. CONCLUSIONS: Offline modeling enhanced detection of TMS effects by removing variability introduced by coil deviations. SIGNIFICANCE: This approach could allow more accurate determination of TMS effects in cognitive and interventional neuroscience.

HIGHLIGHTS

  • Coil deviations impact TMS effects despite use of on-line neuronavigation feedback.

  • Offline denoising of coil deviation impacts on TMS effects reduced variability.

  • Offline denoising also significantly improved overall SNR of TMS effects.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.
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Posted January 30, 2018.
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Offline coil position denoising enhances detection of TMS effects
Leonardo Claudino, Sara J Hussain, Ethan R Buch, Leonardo G Cohen
bioRxiv 256081; doi: https://doi.org/10.1101/256081
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Offline coil position denoising enhances detection of TMS effects
Leonardo Claudino, Sara J Hussain, Ethan R Buch, Leonardo G Cohen
bioRxiv 256081; doi: https://doi.org/10.1101/256081

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