A computationally efficient anisotropic electrophysiological multiscale uterus model: From cell to organ and myometrium to abdominal surface

Autores de IIS La Fe
Participantes ajenos a IIS La Fe
- Yang, Yongxiu
- Bradley, Chris
- Li, Guangfei
- Nieto-del-Amor, Felix
- Hao, Dongmei
- Ye-Lin, Yiyao
Grupos
Abstract
Background and objective: Preterm labor is a global problem affecting the health of newborns. Despite numerous studies reporting electrophysiological changes throughout pregnancy, the underlying mechanism that triggers labor remains unclear. Electrophysiological modeling can provide additional information to better understand the physiological transition from pregnancy to labor. Previous uterine electrophysiological models do not consider either the tissue thickness or fiber structure, which have both been shown to significantly impact propagation patterns. Methods: This paper presents a parallel computational model of the uterus using the bioengineering modeling environment OpenCMISS. This model is a multiscale anisotropic model that spans different levels from cell to organ. At the cellular level, the model utilizes a mathematical representation of uterine myocytes based on multiple ion channels. In the 3D uterine model, fiber structures are added, ranging from horizontal rings in the inner layer to vertically downward fibers in the outer layer, to more accurately depict the electrophysiological activities of the uterus. Additionally, we have developed a multilayer volume conduction model based on the boundary element method to describe the propagation of electrical signals from the myometrium to the abdominal surface. Results: Our model can not only reproduce faithfully both local non-propagated and global propagated electrical activity, but also simulate the fast wave low and fast wave high components of the electrohysterogram (EHG) on the abdominal surface. The model results support the hypothesis that the fast wave high of the EHG signal is related to uterine excitability and fast wave low is related to signal propagation. The amplitude of the simulated signal on the abdominal surface falls in the ranges of real EHG data, which is inversely proportional to the abdominal subcutaneous fat thickness, and the signal waveform highly depends on electrode position and the relative distance to the pacemaker. In addition, the propagation velocity is highly dependent on the uterus geometry and falls in the real-world data range Conclusions: Our models facilitate a better understanding of the electrophysiological changes of the uterus during pregnancy and labor, and allow for an investigation of drug effects and/or structural or anatomical abnormalities.
Datos de la publicación
- ISSN/ISSNe:
- 0169-2607, 1872-7565
- Tipo:
- Article
- Páginas:
- -
- Factor de Impacto:
- 1,329 SCImago ℠
- Cuartil:
- Q1 SCImago ℠
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE ELSEVIER IRELAND LTD
Documentos
- No hay documentos
Filiaciones
Filiaciones no disponibles
Keywords
- Uterus model; Fiber structure; Volume conductor model; Isotropic/anisotropic model; Electrophysiological simulation
Proyectos asociados
ESTUDIO ALEATORIZADO, DOBLE CIEGO, CONTROLADO CON PLACEBO, PARA EVALUAR SEGURIDAD Y EFICACIA DE ELAGOLIX EN PARTICIPANTES CON DOLOR MODERADO O SEVERO ASOCIADO A ENDOMETRIOSIS.
Investigador Principal: VICENTE PAYÁ AMATE
M12-671
IMPACTO PSICOLÓGICO DE LA PANDEMIA DEL SARS COV-2 EN LA POBLACIÓN GESTANTE.
Investigador Principal: ISAURO ROGELIO MONFORT ORTIZ
2020-419-1_PP_MONFORT . 2020
HUMAN UTERUS CELL ATLAS: A PROSPECTIVE, MULTICENTER CLINICAL STUDY.
Investigador Principal: ALFREDO JOSÉ PERALES MARÍN
IGX1-HUT-CS-19-07 . 2020
ESTUDIO FASE 2/3 CONTROLADO CON PLACEBO, ALEATORIZADO, CEGADO PARA EL OBSERVADOR, PARA EVALUAR LA SEGURIDAD, LA TOLERABILIDAD Y LA INMUNOGENICIDAD DE UNA VACUNA CANDIDATA DE ARN (BNT162B2) DEL SARS-COV-2, CONTRA COVID-19 EN MUJERES EMBARAZADAS SANAS DE 18 AÑOS DE EDAD Y MAYORES.
Investigador Principal: VICENTE JOSE DIAGO ALMELA
C4591015 . 2021
Estudio clínico prospectivo para la realización de un cribado molecular para la detección precoz de preeclampsia en el primer trimestre de embarazo.
Investigador Principal: ALFREDO JOSÉ PERALES MARÍN
IGX1-PRE-CS-20-11 . 2022
Artificial intelligence to aid real time diagnosis of preterm birth using uterine myoelectric activity. Emphasis on multiple gestations. IAPretermB/ Inteligencia artificial para la ayuda al diagnóstico en tiempo real del parto prematuro basado en la actividad mioeléctrica uterina. Énfasis en gestaciones múltiples. (IAPretermB).
Investigador Principal: YIYAO YE LIN
2022-205-1_CPC_PRATS-YE . MINISTERIO DE CIENCIA E INNOVACION . 2022
Prevención de la obesidad de por vida mediante la identificación temprana de factores de riesgo, pronóstico e intervención.
Investigador Principal: ISAURO ROGELIO MONFORT ORTIZ
FCS-OBE-CS-22-3 . 2023
Estudio clínico para entender la contribución materna en el origen y causas de la preeclampsia mediante secuenciación a nivel de célula única.
Investigador Principal: ISAURO ROGELIO MONFORT ORTIZ
FCS-EMB-TG-23-02 . 2023
Estudio molecular de la interfase materna-fetal de forma prospectiva a la aparición de preeclampsia mediante tecnología de célula única.
Investigador Principal: BEATRIZ MARCOS PUIG
FCS-IMF-TG-23-03 . 2023
Estudio prospectivo, observacional, multicéntrico para la confirmación del funcionamiento de un cribado molecular en la detección precoz de preeclampsia.
Investigador Principal: ISAURO ROGELIO MONFORT ORTIZ
IPR-IPR-TG-24-01 . 2025
Cita
Yang Y,Bradley C,Li G,Monfort R,Nieto F,Hao D,Ye Y. A computationally efficient anisotropic electrophysiological multiscale uterus model: From cell to organ and myometrium to abdominal surface. Comput Methods Programs Biomed. 2024. 257. 108487. IF:4,900. (1).