journal article·2025-12-01Open access

The influence of positioning error on the intensity of transcranial magnetic stimulation (TMS)-induced cortical electric field: Mathematical models constructed from 55 776 electric field simulations of 28 commercial TMS coils

Zhi Li, He Wang, Yuhui Zhao, Jingna Jin, Xin Wang, Ying Li, Tao Yin

AIP Advances· Volume 15· Issue 12

Abstract

The clinical efficacy of transcranial magnetic stimulation (TMS) critically depends on precise coil positioning; yet, a systematic quantitative analysis of how positioning errors affect the TMS-induced cortical electric field (E-field) intensity remains unavailable. To address this gap, this study developed mathematical models for 28 commercial TMS coils to characterize the impact of six-degree-of-freedom (6-DoF) positioning errors—including translational (X, Y, Z) and rotational (yaw, pitch, roll) components—on cortical E-field intensity. These models were constructed using 55 776 E-field simulations of the primary motor cortex (M1) across 24 healthy adult subjects, enabling the quantification of translational and rotational positioning error sensitivity across coils and the development of a rapid cortical electric field evaluation method (FIEM) for rapid E-field evaluation. Key results demonstrate high accuracy in predicting positioning error effects (R > 0.94 for all 28 coils), significantly broader sensitivity ranges for translational compared to rotational errors, and FIEM achieving 95% accuracy with a 14 ms computational speed. By incorporating cross-vendor, multi-size coil comparisons, our results provide clinicians and researchers with data-driven tools for selecting TMS coils and positioning approaches, while the FIEM framework supports rapid E-field evaluation to reduce uncertainty in cortical targeting during TMS interventions.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Transcranial Magnetic Stimulation Studies · Intraoperative Neuromonitoring and Anesthetic Effects · Spatial Neglect and Hemispheric Dysfunction

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Advanced Medical Materials and Devices, Tianjin Key Laboratory of Neuromodulation and Neurorepair, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College 1 , Tianjin 300192,

Neuroscience Center, Chinese Academy of Medical Science & Peking Union Medical College 2 , Beijing 100730,

Funding

China Key Research and Development Program · the National Natural Science Foundation of China

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