Renan H Matsuda, Victor H Souza, Thais C Marchetti, Ana M Soto, Olli-Pekka Kahilakoski, Mikael Laine, Heikki Sinisalo, Dubravko Kicic, Pantelis Lioumis, Risto J Ilmoniemi, Oswaldo Baffa
{"title":"利用多位点经颅磁刺激实现精确快速脑刺激的电子-机器人瞄准平台。","authors":"Renan H Matsuda, Victor H Souza, Thais C Marchetti, Ana M Soto, Olli-Pekka Kahilakoski, Mikael Laine, Heikki Sinisalo, Dubravko Kicic, Pantelis Lioumis, Risto J Ilmoniemi, Oswaldo Baffa","doi":"10.1088/1361-6560/adf36e","DOIUrl":null,"url":null,"abstract":"<p><p><i>Background</i>. Multi-locus TMS (mTMS) enables precise electronic control of brain stimulation targeting, eliminating the need for physical coil movement. However, with a small number of coils, the stimulation area is constrained, and manual handling of the coil array is cumbersome. Combining electronic mTMS targeting with robotics enables automated, user-independent, and precise brain stimulation protocols.<i>Objective</i>. To characterize an open-source electronic-robotic mTMS platform for rapid and accurate brain stimulation targeting.<i>Methods</i>. We developed an automated robotic mTMS positioning platform. We used a 5-coil mTMS device coupled to a collaborative robot. The stimulation targeting accuracy of the system was quantified with a TMS characterizer that measures the TMS-induced electric field (<i>E</i>-field) on a model of a spherical cortex. The induced<i>E</i>-field distortion generated by robot coupling was evaluated for each coil. We compared the repositioning accuracy of robotic-electronic system to the conventional manual positioning.<i>Results</i>. Our collaborative-robot-based system offers submillimeter precision and autonomy in positioning mTMS coil sets. The electronic-robotic mTMS platform was approximately 1.8 mm and 1.0° more accurate than the conventional manual positioning. Integrating robotics and mTMS automates brain stimulation procedures, resulting in minimal reliance on user expertise and subjective analysis.<i>Conclusion</i>. Our open-source platform combining rapid mTMS targeting with robotic precision enhances the safety and reproducibility of TMS, enabling more efficient and reliable outcomes than previous techniques.</p>","PeriodicalId":20185,"journal":{"name":"Physics in medicine and biology","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterizing an electronic-robotic targeting platform for precise and fast brain stimulation with multi-locus transcranial magnetic stimulation.\",\"authors\":\"Renan H Matsuda, Victor H Souza, Thais C Marchetti, Ana M Soto, Olli-Pekka Kahilakoski, Mikael Laine, Heikki Sinisalo, Dubravko Kicic, Pantelis Lioumis, Risto J Ilmoniemi, Oswaldo Baffa\",\"doi\":\"10.1088/1361-6560/adf36e\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><i>Background</i>. Multi-locus TMS (mTMS) enables precise electronic control of brain stimulation targeting, eliminating the need for physical coil movement. However, with a small number of coils, the stimulation area is constrained, and manual handling of the coil array is cumbersome. Combining electronic mTMS targeting with robotics enables automated, user-independent, and precise brain stimulation protocols.<i>Objective</i>. To characterize an open-source electronic-robotic mTMS platform for rapid and accurate brain stimulation targeting.<i>Methods</i>. We developed an automated robotic mTMS positioning platform. We used a 5-coil mTMS device coupled to a collaborative robot. The stimulation targeting accuracy of the system was quantified with a TMS characterizer that measures the TMS-induced electric field (<i>E</i>-field) on a model of a spherical cortex. The induced<i>E</i>-field distortion generated by robot coupling was evaluated for each coil. We compared the repositioning accuracy of robotic-electronic system to the conventional manual positioning.<i>Results</i>. Our collaborative-robot-based system offers submillimeter precision and autonomy in positioning mTMS coil sets. The electronic-robotic mTMS platform was approximately 1.8 mm and 1.0° more accurate than the conventional manual positioning. Integrating robotics and mTMS automates brain stimulation procedures, resulting in minimal reliance on user expertise and subjective analysis.<i>Conclusion</i>. Our open-source platform combining rapid mTMS targeting with robotic precision enhances the safety and reproducibility of TMS, enabling more efficient and reliable outcomes than previous techniques.</p>\",\"PeriodicalId\":20185,\"journal\":{\"name\":\"Physics in medicine and biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physics in medicine and biology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1088/1361-6560/adf36e\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics in medicine and biology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1088/1361-6560/adf36e","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Characterizing an electronic-robotic targeting platform for precise and fast brain stimulation with multi-locus transcranial magnetic stimulation.
Background. Multi-locus TMS (mTMS) enables precise electronic control of brain stimulation targeting, eliminating the need for physical coil movement. However, with a small number of coils, the stimulation area is constrained, and manual handling of the coil array is cumbersome. Combining electronic mTMS targeting with robotics enables automated, user-independent, and precise brain stimulation protocols.Objective. To characterize an open-source electronic-robotic mTMS platform for rapid and accurate brain stimulation targeting.Methods. We developed an automated robotic mTMS positioning platform. We used a 5-coil mTMS device coupled to a collaborative robot. The stimulation targeting accuracy of the system was quantified with a TMS characterizer that measures the TMS-induced electric field (E-field) on a model of a spherical cortex. The inducedE-field distortion generated by robot coupling was evaluated for each coil. We compared the repositioning accuracy of robotic-electronic system to the conventional manual positioning.Results. Our collaborative-robot-based system offers submillimeter precision and autonomy in positioning mTMS coil sets. The electronic-robotic mTMS platform was approximately 1.8 mm and 1.0° more accurate than the conventional manual positioning. Integrating robotics and mTMS automates brain stimulation procedures, resulting in minimal reliance on user expertise and subjective analysis.Conclusion. Our open-source platform combining rapid mTMS targeting with robotic precision enhances the safety and reproducibility of TMS, enabling more efficient and reliable outcomes than previous techniques.
期刊介绍:
The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry