Electric Field Distribution Induced by TMS: Differences Due to Anatomical Variation

Applied Sciences

Evangelia Chatzikyriakou¹  Vasilios K. Kimiskidis¹  Nikolaos Foroglou²  Konstantinos Kouskouras³  Marietta Tzirini⁴  Theodoros Samaras⁴ 

[1] 1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;1st Department of Neurosurgery, Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;Department of Radiology, Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;Faculty of Sciences, School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;

关键词: TMS;    personalized treatment planning;    EF modeling;    anatomy;    deep TMS;   

DOI  :  10.3390/app12094509

来源: DOAJ

【 摘 要 】

Transcranial magnetic stimulation (TMS) is a well-established technique for the diagnosis and treatment of neuropsychiatric diseases. The numerical calculation of the induced electric field (EF) distribution in the brain increases the efficacy of stimulation and improves clinical outcomes. However, unique anatomical features, which distinguish each subject, suggest that personalized models should be preferentially used. The objective of the present study was to assess how anatomy affects the EF distribution and to determine to what extent personalized models are useful for clinical studies. The head models of nineteen healthy volunteers were automatically segmented. Two versions of each head model, a homogeneous and a five-tissue anatomical, were stimulated by the model of a Hesed coil (H-coil), employing magnetic quasi-static simulations. The H-coil was placed at two standard stimulating positions per model, over the frontal and central areas. The results show small, but indisputable, variations in the EFs for the homogeneous and anatomical models. The interquartile ranges in the anatomical versions were higher compared to the homogeneous ones, indicating that individual anatomical features may affect the prediction of stimulation volumes. It is concluded that personalized models provide complementary information and should be preferably employed in the context of diagnostic and therapeutic TMS studies.

【 授权许可】

Unknown