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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Neurol. | doi: 10.3389/fneur.2019.00760

Multiscale coupling of uterine electromyography and fetal heart rate as a novel indicator of fetal neural development

Kun Chen1, Yangyu Zhao2, Shufang Li2, Lian Chen2, Nan Wang2, Kai Zhang1, Yan Wang2 and  Jue Zhang1*
  • 1Peking University, China
  • 2Peking University Third Hospital, China

Fetal nerve maturation is a dynamic process, which is reflected in fetal movement and fetal heart rate (FHR) patterns. Classical FHR variability (fHRV) indices cannot fully reflect their complex interrelationship. This study aims to provide an alternative insight for fetal neural development by using the coupling analysis of uterine electromyography (UEMG) and FHR acceleration. We investigated 39 normal pregnancies with appropriate for gestational age (AGA) and 19 high-risk pregnancies with small for gestational age (SGA) at 28-39 weeks. The UEMG and FHR were recorded simultaneously by a trans-abdominal device during the night (10 p.m. – 8 a.m.). Cross-wavelet analysis was used to characterize the dynamic relationship between FHR and UEMG. Subsequently, a UEMG-FHR coupling index (UFCI) was extracted from the multiscale coupling power spectrum. We examined the gestational-age dependency of UFCI by linear/quadratic regression models, and the ability to screen for SGA using binary logistic regression. Also, the performances of classical fHRV indices, including short-term variation (STV), averaged acceleration capacity (AAC) and averaged deceleration capacity (ADC), time- and frequency- domain indices, and multiscale entropy (MSE), were compared as references on the same recordings. The results showed that UFCI provided a stronger age predicting value with R2 = 0.480 in contrast to the best value with R2 = 0.335 based on other fHRV indices by univariate regression models. Also, UFCI achieved superior performance for predicting SGA with the area under the curve (AUC) of 0.88, compared with 0.79 for best performance of other fHRV indices. The present results indicate that UFCI provides new information for early detection and comprehensive interpretation of intrauterine growth restriction in prenatal diagnosis, and helps improve the screening of SGA.

Keywords: fetal neural development, Uterine electromyography, fetal heart rate, Cross-wavelet analysis, intrauterine growth restriction, small for gestational age

Received: 04 Feb 2019; Accepted: 01 Jul 2019.

Edited by:

Mathias Baumert, University of Adelaide, Australia

Reviewed by:

Dirk Cysarz, Witten/Herdecke University, Germany
Martin G. Frasch, Department of Obstetrics and Gynecology, School of Medicine, University of Washington, United States  

Copyright: © 2019 Chen, Zhao, Li, Chen, Wang, Zhang, Wang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: PhD. Jue Zhang, Peking University, Beijing, 100871, Beijing Municipality, China, zhangjue@pku.edu.cn