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タムラ マナブ
TAMURA Manabu
田村 学 所属 医学研究科 医学研究科 (医学部医学科をご参照ください) 職種 准教授 |
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| 論文種別 | 原著 |
| 言語種別 | 英語 |
| 査読の有無 | 査読なし |
| 表題 | Accurate localization of motor function using transcranial magnetic stimulation with segmentation-free head modeling in patients with brain tumors. |
| 掲載誌名 | 正式名：Physics in medicine and biology 略 称：Phys Med Biol ISSNコード：13616560/00319155 |
| 掲載区分 | 国外 |
| 巻・号・頁 | pp.Online ahead of print. |
| 著者・共著者 | KUBOTA Yoshiki†, NAGATA Yosuke, KODERA Sachiko, TAMURA Manabu, MURAGAKI Yoshihiro, HIRATA Akimasa |
| 発行年月 | 2025/10/29 |
| 概要 | OBJECTIVES:Transcranial magnetic stimulation (TMS) is widely employed for preoperative functional mapping and neurological diagnosis. However, accurately localizing motor functions is often compromised by distortions in the electric field (EF) caused by the complex interplay of anatomical and electrical properties, especially in patients with brain tumors. Conventional head models, which rely on tissue segmentation and uniform conductivity assumptions, fail to capture the heterogeneity and variability inherent to tumor tissues. This study aims to enhance EF localization accuracy by employing segmentation-free head models that directly estimate voxel-level conductivity from MRI data.APPROACH:Four patients with intraaxial brain tumors near motor eloquent areas underwent preoperative TMS mapping and intraoperative direct electrical stimulation (DES). Individualized head models were created using both segmentation-based and segmentation-free approaches. EF distributions and localization accuracy were evaluated using DES as the gold standard.MAIN RESULTS:For the first time, this study demonstrated that tumor conductivity is both case-specific and spatially dependent, revealing substantial heterogeneity across tumor regions. The segmentation-free model effectively captured this variability, achieving superior localization accuracy with a center-of-gravity (CoG) to DES distance of 3.60 ± 0.95 mm-approximately half that of conventional navigated TMS. By incorporating smooth, voxel-level conductivity variations, the model reduced reliance on extensive stimulation samples and accounted for tumor-induced distortions.
Significance: By accurately modeling the non-uniform conductivity of tumor and surrounding brain tissues, segmentation-free head models significantly enhance EF localization in TMS applications. This novel approach offers improved precision and efficiency in preoperative planning and warrants further validation in diverse patient cohorts.
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| DOI | 10.1088/1361-6560/ae1924 |
| PMID | 41160985 |