Automated search of stimulation targets with closed-loop transcranial magnetic stimulation

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http://hdl.handle.net/10138/321706

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Tervo , A E , Metsomaa , J , Nieminen , J O , Sarvas , J & Ilmoniemi , R J 2020 , ' Automated search of stimulation targets with closed-loop transcranial magnetic stimulation ' , NeuroImage , vol. 220 , 117082 . https://doi.org/10.1016/j.neuroimage.2020.117082

Title: Automated search of stimulation targets with closed-loop transcranial magnetic stimulation
Author: Tervo, Aino E.; Metsomaa, Johanna; Nieminen, Jaakko O.; Sarvas, Jukka; Ilmoniemi, Risto J.
Other contributor: University of Helsinki, HUS Medical Imaging Center
University of Helsinki, HUS Medical Imaging Center
University of Helsinki, HUS Medical Imaging Center
University of Helsinki, HUS Medical Imaging Center
University of Helsinki, HUS Medical Imaging Center



Date: 2020-10-15
Language: eng
Number of pages: 10
Belongs to series: NeuroImage
ISSN: 1053-8119
DOI: https://doi.org/10.1016/j.neuroimage.2020.117082
URI: http://hdl.handle.net/10138/321706
Abstract: Transcranial magnetic stimulation (TMS) protocols often include a manual search of an optimal location and orientation of the coil or peak stimulating electric field to elicit motor responses in a target muscle. This target search is laborious, and the result is user-dependent. Here, we present a closed-loop search method that utilizes automatic electronic adjustment of the stimulation based on the previous responses. The electronic adjustment is achieved by multi-locus TMS, and the adaptive guiding of the stimulation is based on the principles of Bayesian optimization to minimize the number of stimuli (and time) needed in the search. We compared our target-search method with other methods, such as systematic sampling in a predefined cortical grid. Validation experiments on five healthy volunteers and further offline simulations showed that our adaptively guided search method needs only a relatively small number of stimuli to provide outcomes with good accuracy and precision. The automated method enables fast and user-independent optimization of stimulation parameters in research and clinical applications of TMS.
Subject: Transcranial magnetic stimulation
Stimulation targeting
Closed-loop TMS
Bayesian optimization
Multi-locus TMS
TMS
BRAIN
HAND
REPRESENTATION
NEUROSCIENCE
VARIABILITY
PRINCIPLES
HOTSPOT
CORTEX
3112 Neurosciences
3124 Neurology and psychiatry
3126 Surgery, anesthesiology, intensive care, radiology
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