Characterizing Spatial Signatures of Gastric Electrical Activity Using Biomagnetic Source Localization.
Characterizing Spatial Signatures of Gastric Electrical Activity Using Biomagnetic Source Localization.
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DOI：
10.1109/tbme.2022.3174847
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发表时间：
2022-11
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
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胃肠道中的运动模式部分地由称为慢波的生物电事件调节。了解胃慢波的时空特征有助于揭示功能性运动障碍的病因。本研究利用模拟和实验胃磁图数据研究了源定位技术表征胃慢波活动空间特征的能力。两种慢波传播模式（顺行和逆行）与两种节奏（正常胃和胃徐缓）被用来模拟远场磁场使用4解剖学现实的胃和躯干几何形状。利用等效电流偶极子（ECD）和等效磁偶极子（EMD）模型进行源定位。在正常胃的模拟与基础的慢波活动相比，EMD模型能够识别慢波传播的横向，前后，上下方向的中位数相关系数分别为0.66，0.53和0.83，而ECD模型产生较低的相关性分数（中位数：0.52，0.44和0.44）。此外，EMD模型导致顺行和逆行传播的不同和相反的空间签名。类似地，当使用实验数据时，EMD模型揭示了正常的顺行样空间特征，其中大部分传播朝向上下轴（餐前：49%，餐后：35%）和前后轴（餐前：49%，餐后：50%）中的第三象限。EMD模型能够识别和分类慢波活动的空间特征。它可以帮助告知解释胃慢波的非侵入性记录作为功能性运动障碍的生物标志物。
The motility patterns in the gastrointestinal tract are regulated, in part, by bioelectrical events known as slow waves. Understanding temporal and spatial features of gastric slow waves can help reveal the underlying causes of functional motility disorders. This study investigated the ability of source localization techniques to characterize the spatial signatures of gastric slow wave activity using simulated and experimental magnetogastrography data. Two slow wave propagation patterns (antegrade and retrograde) with two rhythms (normogastric and bradygastric) were used to simulate far-field magnetic fields using 4 anatomically realistic stomach and torso geometries. Source localization was performed utilizing the equivalent current dipole (ECD) and the equivalent magnetic dipole (EMD) models. In the normogastric simulations when compared with the underlying slow wave activity, the EMD model was capable of identifying the slow wave propagation in the lateral, antero-posterior, and supero-inferior directions with the median correlation coefficients of 0.66, 0.53, and 0.83, respectively, whereas the ECD model produced lower correlation scores (median: 0.52, 0.44, and 0.44). Moreover, the EMD model resulted in distinct and opposite spatial signatures for the antegrade and retrograde propagation. Similarly, when experimental data was used, the EMD model revealed normal antegrade-like spatial signatures where most of the propagation was towards the third quadrant in the supero-inferior (preprandial: 49%, postprandial: 35%) and antero-posterior (preprandial: 49%, postprandial: 50%) axes. The EMD model was able to identify and classify the spatial signatures of slow wave activities. It can help to inform the interpretation of non-invasive recordings of gastric slow waves as a biomarker of functional motility disorders.
影响因子：
3.2
作者：
Kim JH;Pullan AJ;Bradshaw LA;Cheng LK
通讯作者：
Cheng LK