4.6 Article

TMS intensity and focality correlation with coil orientation at three non-motor regions

期刊

PHYSICS IN MEDICINE AND BIOLOGY
卷 67, 期 5, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1361-6560/ac4ef9

关键词

brain stimulation; coil orientation; computer simulation; finite element analysis; patient-specific modeling; transcranial magnetic stimulation (TMS)

资金

  1. Asociacion Universitaria Iberoamericana de Postgrado (AUIP)
  2. Instituto de Salud Carlos III-Fondo Europeo de Desarrollo Regional [PI14/01823, PI16/01575, PI18/01898, PI19/01576]
  3. Consejeria de Economia, Innovacion, Ciencia y Empleo de la Junta de Andalucia [CVI-02526, CTS-7685]
  4. Consejeria de Salud y Bienestar Social de la Junta de Andalucia [PI-0471-2013, PE-0186-2019, PI-0459-2018]
  5. Spanish Ministry of Science and Innovation `Retos Colaboracion' 2019 program [TC2019007150-1]
  6. ANPCyT [PICT2017-0857]
  7. Ministerio de Ciencia e Innovacion [FPU16/03550]
  8. VI-PPIT-US from the University of Seville [USE-18817-A]
  9. UNLP [I-209]

向作者/读者索取更多资源

This study aims to determine the optimal coil orientations for transcranial magnetic stimulation (TMS) in three clinically relevant brain areas: pre-SMA, IFG, and PPC. The results show that the spatial focality of the electric field (E-field) generated by TMS varies depending on the coil orientation, and is influenced by individual brain anatomical properties. Better coil orientations can be based on the specific brain morphology at the region of interest (VOI).
Objective. The aim of this study is to define the best coil orientations for transcranial magnetic stimulation (TMS) for three clinically relevant brain areas: pre-supplementary motor area (pre-SMA), inferior frontal gyrus (IFG), and posterior parietal cortex (PPC), by means of simulations in 12 realistic head models of the electric field (E-field). Methods. We computed the E-field generated by TMS in our three volumes of interest (VOI) that were delineated based on published atlases. We then analysed the maximum intensity and spatial focality for the normal and absolute components of the E-field considering different percentile thresholds. Lastly, we correlated these results with the different anatomical properties of our VOIs. Results. Overall, the spatial focality of the E-field for the three VOIs varied depending on the orientation of the coil. Further analysis showed that differences in individual brain anatomy were related to the amount of focality achieved. In general, a larger percentage of sulcus resulted in better spatial focality. Additionally, a higher normal E-field intensity was achieved when the coil axis was placed perpendicular to the predominant orientations of the gyri of each VOI. A positive correlation between spatial focality and E-field intensity was found for PPC and IFG but not for pre-SMA. Conclusions. For a rough approximation, better coil orientations can be based on the individual's specific brain morphology at the VOI. Moreover, TMS computational models should be employed to obtain better coil orientations in non-motor regions of interest. Significance. Finding better coil orientations in non-motor regions is a challenge in TMS and seeks to reduce interindividual variability. Our individualized TMS simulation pipeline leads to fewer inter-individual variability in the focality, likely enhancing the efficacy of the stimulation and reducing the risk of stimulating adjacent, non-targeted areas.

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