In silicomuscle volume conduction study validatesin vivomeasurement of tongue volume conduction properties using a user tongue array depressor.
In silicomuscle volume conduction study validatesin vivomeasurement of tongue volume conduction properties using a user tongue array depressor.
复制标题
在硅肌体积传导研究中，验证了使用用户舌阵列抑制器对舌体积传导特性的体内测量。
DOI：
10.1088/1361-6579/abed36
复制
发表时间：
2021
影响因子：
3.2
通讯作者：
Sanchez,Benjamin
中科院分区：
文献类型：
--
作者：
Luo,Xuesong;Sanchez,Benjamin
目的利用新型多电极使用者舌阵列（UTA）抑制剂对舌体积传导特性（VCPs）进行电生理评估，有望作为诊断球功能障碍患者的生物标志物。然而，使用UTA抑制剂收集的体内数据是否准确反映舌头vcp仍然未知。为了解决这一问题，我们利用健康人类舌头矢状面（即纵向）、轴向面和冠状面（即横向）的VCP值（即电导率和相对介电常数），利用精确的解剖舌有限元模型（FEM）对降压器进行了计算机模拟。然后，我们建立了从我们的模型模拟的舌头VCP值与测量的人体数据之间的关系。实验与模拟舌面VCP值及其空间变化在实验结果可变性范围内的差异符合得很好。舌头有限元模拟证实了我们的UTA抑制剂在评估舌头vcp方面的可行性。意义UTA降压仪是一种新的无创、安全的舌腔vcp测量工具。这些电特性反映了舌头的离子组成和细胞膜完整性，可以作为影响舌头神经系统疾病的一种新的电生理生物标志物。
ObjectiveElectrophysiological assessment of the tongue volume conduction properties (VCPs) using our novel multi-electrode user tongue array (UTA) depressor has the promise to serve as a biomarker in patients with bulbar dysfunction. However, whether in vivo data collected using the UTA depressor accurately reflect the tongue VCPs remains unknown.ApproachTo address this question, we performed in silico simulations of the depressor with an accurate anatomical tongue finite element model (FEM) using healthy human tongue VCP values, namely the conductivity and the relative permittivity, in the sagittal plane (ie longitudinal direction) and axial and coronal planes (ie transverse directions). We then established the relationship between tongue VCP values simulated from our model to measured human data.Main resultsExperimental versus simulated tongue VCP values including their spatial variation were in good agreement with differences well within the variability of the experimental results. Tongue FEM simulations corroborate the feasibility of our UTA depressor in assessing tongue VCPs.SignificanceThe UTA depressor is a new non-invasive and safe tool to measure tongue VCPs. These electrical properties reflect the tongue's ionic composition and cellular membrane integrity and could serve as a novel electrophysiological biomarker in neurological disorders affecting the tongue.