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Wray S, Taggart MJ. An update on pacemaking in the myometrium. J Physiol 2024. [PMID: 39073139 DOI: 10.1113/jp284753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/24/2024] [Indexed: 07/30/2024] Open
Abstract
Timely and efficient contractions of the smooth muscle of the uterus - the myometrium - are crucial to a successful pregnancy outcome. These episodic contractions are regulated by spontaneous action potentials changing cell and tissue electrical excitability. In this short review we will document and discuss current knowledge of these processes. Those seeking a conclusive account of myometrial pacemaking mechanisms, or indeed a definitive description of the anatomical site of uterine pacemaking, may be disappointed. Rather, after almost a century of investigation, and in spite of promising studies in the last decade or so, there remain many gaps in our knowledge. We review the progress that has been made using recent technologies including in vivo and ex vivo imaging and electrophysiology and computational modelling, taking evidence from studies of animal and human myometrium, with particular emphasis on what may occur in the latter. We have prioritized physiological studies that bring us closer to understanding function. From our analyses we suggest that in human myometrium there is no fixed pacemaking site, but rather mobile, initiation sites produce the connectivity for synchronizing electrical and contractile activity. We call for more studies and funding, as physiological understanding of pacemaking gives hope to being better able to treat clinical conditions such as preterm and dysfunctional labours.
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Affiliation(s)
- Susan Wray
- Women's & Children's Health, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, Merseyside, UK
| | - Michael J Taggart
- Biosciences Institute, International Centre for Life, Newcastle University, Newcastle, UK
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Goldsztejn U, Nehorai A. Estimating uterine activity from electrohysterogram measurements via statistical tensor decomposition. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2023.104899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
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Mehl ST, Simmons PM, Whittington JR, Escalona-Vargas D, Siegel ER, Lowery CL, Crimmins-Pierce LD, Eswaran H. Assessing uterine electrophysiology prior to elective term induction of labor. Curr Res Physiol 2023; 6:100103. [PMID: 37554388 PMCID: PMC10404855 DOI: 10.1016/j.crphys.2023.100103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 07/07/2023] [Accepted: 07/20/2023] [Indexed: 08/10/2023] Open
Abstract
OBJECTIVE The purpose of this study was to determine if uterine electrophysiological signals gathered from 151 non-invasive biomagnetic sensors spread over the abdomen were associated with successful induction of labor (IOL). STUDY DESIGN Uterine magnetomyogram (MMG) signals were collected using the SARA (SQUID Array for Reproductive Assessment) device from 33 subjects between 37 and 42 weeks gestational age. The signals were post-processed, uterine contractile related MMG bursts were detected, and parameters in the time and frequency domain were extracted. The modified Bishop score calculated at admission was used to determine the method of IOL. Wilcoxon's rank-sum test was used to compare IOL successes and failures for differences in gestational age (GA), parity, modified Bishop's score, maximum oxytocin, and electrophysiological parameters extracted from MMG. RESULTS The average parity was three times (3x) higher (1.53 versus 0.50; p = 0.039), and the average modified Bishop score was 2x higher (3.32 versus 1.63; p = 0.032) amongst IOL successes than failures, while the average GA and maximum oxytocin showed a small difference. For the MMG parameters, successful IOLs had, on average, 3.5x greater mean power during bursts (0.246 versus 0.070; p = 0.034) and approximately 1.2x greater mean number of bursts (2.05 versus 1.68; p = 0.036) compared to the failed IOLs, but non-significant differences were observed in mean peak frequency, mean burst duration, and mean duration between bursts. CONCLUSION The study showed that inductions of labor that took less than 24 h to deliver have a higher mean power in the baseline electrophysiological activity of the uterus when recorded prior to planned induction. The results are indicative that baseline electrophysiological activity measured prior to induction is associated with successful induction.
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Affiliation(s)
- Sarah T. Mehl
- Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Texas Health Science Center, Houston, TX, USA
| | - Pamela M. Simmons
- Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Julie R. Whittington
- Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Obstetrics and Gynecology, Naval Medical Center, Portsmouth, VA, USA
| | - Diana Escalona-Vargas
- Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Eric R. Siegel
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Curtis L. Lowery
- Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Lauren D. Crimmins-Pierce
- Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Hari Eswaran
- Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
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Ghahremani Arekhloo N, Parvizi H, Zuo S, Wang H, Nazarpour K, Marquetand J, Heidari H. Alignment of magnetic sensing and clinical magnetomyography. Front Neurosci 2023; 17:1154572. [PMID: 37274205 PMCID: PMC10232862 DOI: 10.3389/fnins.2023.1154572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 04/24/2023] [Indexed: 06/06/2023] Open
Abstract
Neuromuscular diseases are a prevalent cause of prolonged and severe suffering for patients, and with the global population aging, it is increasingly becoming a pressing concern. To assess muscle activity in NMDs, clinicians and researchers typically use electromyography (EMG), which can be either non-invasive using surface EMG, or invasive through needle EMG. Surface EMG signals have a low spatial resolution, and while the needle EMG provides a higher resolution, it can be painful for the patients, with an additional risk of infection. The pain associated with the needle EMG can pose a risk for certain patient groups, such as children. For example, children with spinal muscular atrophy (type of NMD) require regular monitoring of treatment efficacy through needle EMG; however, due to the pain caused by the procedure, clinicians often rely on a clinical assessment rather than needle EMG. Magnetomyography (MMG), the magnetic counterpart of the EMG, measures muscle activity non-invasively using magnetic signals. With super-resolution capabilities, MMG has the potential to improve spatial resolution and, in the meantime, address the limitations of EMG. This article discusses the challenges in developing magnetic sensors for MMG, including sensor design and technology advancements that allow for more specific recordings, targeting of individual motor units, and reduction of magnetic noise. In addition, we cover the motor unit behavior and activation pattern, an overview of magnetic sensing technologies, and evaluations of wearable, non-invasive magnetic sensors for MMG.
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Affiliation(s)
- Negin Ghahremani Arekhloo
- Microelectronics Lab, James Watt School of Engineering, The University of Glasgow, Glasgow, United Kingdom
- Neuranics Ltd., Glasgow, United Kingdom
| | - Hossein Parvizi
- Microelectronics Lab, James Watt School of Engineering, The University of Glasgow, Glasgow, United Kingdom
| | - Siming Zuo
- Microelectronics Lab, James Watt School of Engineering, The University of Glasgow, Glasgow, United Kingdom
- Neuranics Ltd., Glasgow, United Kingdom
| | - Huxi Wang
- Microelectronics Lab, James Watt School of Engineering, The University of Glasgow, Glasgow, United Kingdom
- Neuranics Ltd., Glasgow, United Kingdom
| | - Kianoush Nazarpour
- Neuranics Ltd., Glasgow, United Kingdom
- School of Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Justus Marquetand
- Department of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- MEG Centre, University of Tübingen, Tübingen, Germany
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Hadi Heidari
- Microelectronics Lab, James Watt School of Engineering, The University of Glasgow, Glasgow, United Kingdom
- Neuranics Ltd., Glasgow, United Kingdom
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Wang H, Wen Z, Wu W, Sun Z, Kisrieva-Ware Z, Lin Y, Wang S, Gao H, Xu H, Zhao P, Wang Q, Macones GA, Schwartz AL, Cuculich P, Cahill AG, Wang Y. Noninvasive electromyometrial imaging of human uterine maturation during term labor. Nat Commun 2023; 14:1198. [PMID: 36918533 PMCID: PMC10015052 DOI: 10.1038/s41467-023-36440-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 01/23/2023] [Indexed: 03/16/2023] Open
Abstract
Electromyometrial imaging (EMMI) was recently developed to image the three-dimensional (3D) uterine electrical activation during contractions noninvasively and accurately in sheep. Herein we describe the development and application of a human EMMI system to image and evaluate 3D uterine electrical activation patterns at high spatial and temporal resolution during human term labor. We demonstrate the successful integration of the human EMMI system during subjects' clinical visits to generate noninvasively the uterine surface electrical potential maps, electrograms, and activation sequence through an inverse solution using up to 192 electrodes distributed around the abdomen surface. Quantitative indices, including the uterine activation curve, are developed and defined to characterize uterine surface contraction patterns. We thus show that the human EMMI system can provide detailed 3D images and quantification of uterine contractions as well as novel insights into the role of human uterine maturation during labor progression.
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Affiliation(s)
- Hui Wang
- Department of Physics, Washington University, St. Louis, MO, 63130, USA
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Zichao Wen
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Wenjie Wu
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Biomedical Engineering, Washington University, St. Louis, MO, 63130, USA
| | - Zhexian Sun
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Biomedical Engineering, Washington University, St. Louis, MO, 63130, USA
| | - Zulfia Kisrieva-Ware
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Yiqi Lin
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, 63130, USA
| | - Sicheng Wang
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, 63130, USA
| | - Hansong Gao
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, 63130, USA
| | - Haonan Xu
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Peinan Zhao
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Qing Wang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - George A Macones
- Department of Women's Health, Dell Medical School, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Alan L Schwartz
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Phillip Cuculich
- Department of Cardiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Alison G Cahill
- Department of Women's Health, Dell Medical School, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Yong Wang
- Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, 63130, USA.
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- Department of Biomedical Engineering, Washington University, St. Louis, MO, 63130, USA.
- Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, 63130, USA.
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
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Diaz-Martinez A, Monfort-Ortiz R, Ye-Lin Y, Garcia-Casado J, Nieto-Tous M, Nieto-Del-Amor F, Diago-Almela V, Prats-Boluda G. Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity. Biocybern Biomed Eng 2023. [DOI: 10.1016/j.bbe.2022.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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Xu Y, Hao D, Taggart MJ, Zheng D. Regional identification of information flow termination of electrohysterographic signals: Towards understanding human uterine electrical propagation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 223:106967. [PMID: 35763875 DOI: 10.1016/j.cmpb.2022.106967] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE The uterine electrohysterogram (EHG) contains important information about electrical signal propagation which may be useful to monitor and predict the progress of pregnancy towards parturition. Directed information processing has the potential to be of use in studying EHG recordings. However, so far, there is no directed information-based estimation scheme that has been applied to investigating the propagation of human EHG recordings. To realize this, the approach of directed information and its reliability and adaptability should be scientifically studied. METHODS We demonstrated an estimation scheme of directed information to identify the spatiotemporal relationship between the recording channels of EHG signal and assess the algorithm reliability initially using simulated data. Further, a regional identification of information flow termination (RIIFT) approach was developed and applied for the first time to extant multichannel EHG signals to reveal the terminal zone of propagation of the electrical activity associated with uterine contraction. RIIFT operates by estimating the pairwise directed information between neighboring EHG channels and identifying the location where there is the strongest inward flow of information. The method was then applied to publicly-available experimental data obtained from pregnant women with the use of electrodes arranged in a 4-by-4 grid. RESULTS Our results are consistent with the suggestions from the previous studies with the added identification of preferential sites of excitation termination - within the estimated area, the direction of surface action potential propagation towards the medial axis of uterus during contraction was discovered for 72.15% of the total cases, demonstrating that our RIIFT method is a potential tool to investigate EHG propagation for advancing our understanding human uterine excitability. CONCLUSIONS We developed a new approach and applied it to multichannel human EHG recordings to investigate the electrical signal propagation involved in uterine contraction. This provides an important platform for future studies to fill knowledge gaps in the spatiotemporal patterns of electrical excitation of the human uterus.
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Affiliation(s)
- Yuhang Xu
- Research Center for Intelligent Healthcare, Institute of Health and Wellbeing, Coventry University, Priory Street, Coventry, CV1 5FB, UK.
| | - Dongmei Hao
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
| | - Michael J Taggart
- Biosciences Institute, Newcastle University, International Center for Life, Newcastle upon Tyne, NE1 4EP, UK
| | - Dingchang Zheng
- Research Center for Intelligent Healthcare, Institute of Health and Wellbeing, Coventry University, Priory Street, Coventry, CV1 5FB, UK.
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Xu Y, Liu H, Hao D, Taggart M, Zheng D. Uterus Modeling from Cell to Organ Level: towards Better Understanding of Physiological Basis of Uterine Activity. IEEE Rev Biomed Eng 2020; 15:341-353. [PMID: 32915747 DOI: 10.1109/rbme.2020.3023535] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The relatively limited understanding of the physiology of uterine activation prevents us from achieving optimal clinical outcomes for managing serious pregnancy disorders such as preterm birth or uterine dystocia. There is increasing awareness that multi-scale computational modeling of the uterus is a promising approach for providing a qualitative and quantitative description of uterine physiology. The overarching objective of such approach is to coalesce previously fragmentary information into a predictive and testable model of uterine activity that, in turn, informs the development of new diagnostic and therapeutic approaches to these pressing clinical problems. This article assesses current progress towards this goal. We summarize the electrophysiological basis of uterine activation as presently understood and review recent research approaches to uterine modeling at different scales from single cell to tissue, whole organ and organism with particular focus on transformative data in the last decade. We describe the positives and limitations of these approaches, thereby identifying key gaps in our knowledge on which to focus, in parallel, future computational and biological research efforts.
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Optimized feature selection for the classification of uterine magnetomyography signals for the detection of term delivery. Biomed Signal Process Control 2020. [DOI: 10.1016/j.bspc.2020.101880] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Abstract
Contractions are produced through a complex interplay of hormonal, mechanical, and electrical factors. In labor, contractions are measured using the Montevideo unit. Clinical considerations in labor wherein contraction assessment becomes paramount include the care of women whose labor is complicated by abnormal progress or tachysystole. In an era of obstetrics in which the high cesarean rate is a major issue of concern, there remain many questions as to how to best incorporate contraction monitoring into practice in order to optimize care. Technological advancement has led to the development on new modalities that can be used to study contraction physiology, and there may be an opportunity in the future to apply these methods for use in the clinical setting. This article also makes a case for the need to reevaluate the current measures of uterine contractile activity and the definition of contraction adequacy using updated definitions of normal labor progress.
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Affiliation(s)
- Stephen E Gee
- Department of Obstetrics & Gynecology, The Ohio State University College of Medicine, 395 W. 12th Ave, 5th floor, 43210 Columbus, OH, United States.
| | - Heather A Frey
- Department of Obstetrics & Gynecology, The Ohio State University College of Medicine, 395 W. 12th Ave, 5th floor, 43210 Columbus, OH, United States
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Escalona-Vargas D, Zhang M, Nehorai A, Eswaran H. Connectivity Measures of Uterine Activity using Magnetomyography. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2019; 2018:5878-5881. [PMID: 30441673 DOI: 10.1109/embc.2018.8513498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
This work explores the use of graph-theoretical metrics of network topography to investigate interactions in the uterine activity using a multi-channel SQUID array. Magnetomyography (MMG) is a noninvasive technique that records magnetic fields associated with the uterine activity. Graph analysis was applied to 30s no-overlap epochs of MMG data for evaluating the evolution of local and global connectivity, and centrality indicators within the network. Binary graphs were obtained by applying a range of thresholds from 10% to 35% of the strongest edges preserved. Network analysis was applied to 24 simulated MMG data when independent noise realizations were added. Simulated data was generated from a multiscale forward model that uses a realistic uterus representation. Additionally, we applied network analysis to repeated real MMG measurements obtained from a subject at different gestational ages (GA) to observe the evolution of the network until subject reaches active labor. Results show in the simulation setting that network metrics were higher during the burst activity reflecting the propagation activity of the signal across the uterus of the multiscale mathematical model. The local efficiency values were higher than the global efficiency for any threshold used. For real MMG recordings, global and local efficiency, and clustering coefficient values increased as the patient approached active labor at any binarized threshold whereas betweenness centrality quantity decreased with days to active labor.
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Domino M, Domino K, Gajewski Z. An application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy. Biosystems 2018; 175:30-38. [PMID: 30391263 DOI: 10.1016/j.biosystems.2018.10.019] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 10/29/2018] [Accepted: 10/30/2018] [Indexed: 01/18/2023]
Abstract
The analysis of the uterine contraction have become a general practice in an effort to improve the clinical management of uterine contractions during pregnancy and labour in human beings. The fluctuations in uterine activity may occur without affecting progress of gestation, however the painful and fashion contractions may be the first threat of miscarriage. While pigs were considered as an referential preclinical model, the computational modelling of spontaneous myoelectrical activity of complex systems of porcine myometrium in peri-fertilization period has been proposed. The higher order statistic, multivariate cumulants and Joint Skewness Band Selection method, have been applied to study the dependence structure of electromyographic (EMG) signal with an effective EMG feature. Than the model of recognition of multivariate, myoelectricaly changes according to crucial stages for successful fertilization and early pregnancy maintenance has been estimated. We found that considering together time and frequency features of EMG signal was extremely non-Gaussian distributed and the higher order multivariate statistics such as cumulants, have to be used to determine the pattern of myoelectrical activity in reproductive tract. We confirmed the expectance that the probabilistic model changes on a daily base. We demonstrated the changes in proposed model at the crucial time points of in peri-fertilization period. We speculate the activity of the middle of uterine horn and the power (minimum and maximum) and pauses between myoelectrical burst features are essential for the functional role of uterine contractility in peri-fertilization period.
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Affiliation(s)
- Malgorzata Domino
- Department of Large Animal Diseases with Clinic, Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, Warsaw University of Life Sciences (WULS - SGGW), Warsaw, Poland
| | - Krzysztof Domino
- Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland
| | - Zdzislaw Gajewski
- Department of Large Animal Diseases with Clinic, Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, Warsaw University of Life Sciences (WULS - SGGW), Warsaw, Poland.
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Namadurai P, Padmanabhan V, Swaminathan R. Multifractal Analysis of Uterine Electromyography Signals for the Assessment of Progression of Pregnancy in Term Conditions. IEEE J Biomed Health Inform 2018; 23:1972-1979. [PMID: 30369459 DOI: 10.1109/jbhi.2018.2878059] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVES The objectives of this paper are to examine the source of multifractality in uterine electromyography (EMG) signals and to study the progression of pregnancy in the term (gestation period > 37 weeks) conditions using multifractal detrending moving average (MFDMA) algorithm. METHODS The signals for the study, considered from an online database, are obtained from the surface of abdomen during the second (T1) and third trimester (T2). The existence of multifractality is tested using Hurst and scaling exponents. With the intention of identifying the origin of multifractality, the preprocessed signals are converted to shuffle and surrogate data. The original and the transformed signals are subjected to MFDMA to extract multifractal spectrum features, namely strength of multifractality, maximum, minimum, and peak singularity exponents. RESULTS The Hurst and scaling exponents extracted from the signals indicate that uterine EMG signals are multifractal in nature. Further analysis shows that the source of multifractality is mainly owing to the presence of long-range correlation, which is computed as 79.98% in T1 and 82.43% in T2 groups. Among the extracted features, the peak singularity exponent and strength of multifractality show statistical significance in identifying the progression of pregnancy. The corresponding coefficients of variation are found to be low, which show that these features have low intersubject variability. CONCLUSION It appears that the multifractal analysis can help in investigating the progressive changes in uterine muscle contractions during pregnancy.
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Mangezi A, Rosendo A, Howard M, Stopforth R. Embroidered archimedean spiral electrodes for contactless prosthetic control. IEEE Int Conf Rehabil Robot 2018; 2017:1343-1348. [PMID: 28814007 DOI: 10.1109/icorr.2017.8009435] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
With continuous advancements on active prosthetics the detection of the user's intention becomes the new technological bottleneck. While electromyography (EMG) is widely used to detect individual muscular contributions, sweat and relative sensor movements degrade the quality of the signal over time. In this paper, we bypass the problems created with the skin contact analyzing the muscular activation with Archimedean Spiral (AS) electrodes. We compare traditional EMG electrodes with AS electrodes, stacked up in textile embroidered layers to improve their functionality, and eventually adding a layer of cloth/silicon between the electrodes and the human skin to ascertain the feasibility of the method. We use n=9 volunteers to perform a loaded wrist extension and record signals from the extensor digitorum muscle group. We evaluate the amplitude and noise from all results and conclude that the AS electrode is capable of detecting muscular activation without touching the skin. As part of a low-cost prosthetic initiative, this EMG alternative can be potentially embedded to the prosthetic socket to improve usage and reduce adaptation problems.
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Pawlinski B, Domino M, Zabielski R, Siewruk K, Polanska-Plachta M, Gajewski Z. Characteristics of bioelectrical activity of oviducts and uterus during early pregnancy in sows recorded by telemetry method. Exp Physiol 2017; 102:1672-1682. [PMID: 28940594 DOI: 10.1113/ep086491] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 09/05/2017] [Indexed: 11/08/2022]
Abstract
NEW FINDINGS What is the central question of this study? The aim of present study was to record and analyse the myoelectrical activity in the female pig reproductive tract (uterus and oviduct) during early pregnancy. What is the main finding and its importance? Understanding the contractile activity of the uterus and oviducts is indispensable for understanding the physiological mechanisms as well as all irregularities associated with the period of conception and early pregnancy. The aim of the present study was to record the myoelectrical activity of the reproductive tract in sows during the oestrous phase and early pregnancy via a telemetry recording system. In a total of eight non-pregnant pigs, the bioelectrical activity was recorded through three silicone electrodes sutured on the oviduct (isthmus and ampulla) and the uterine horn. Blood samples were collected to monitor the concentrations of progesterone (P4) and luteinizing hormone (LH). The oestrous cycle was synchronized with equine chorionic gonadotrophin (eCG) and human chorionic gonadotrophin (hCG), and the animals were subjected to artificial insemination. Analysis of the EMG activity of the oviduct and uterus in the oestrous phase and in early stages of pregnancy suggests explicitly that telemetry could enable in vivo assessment of myoelectrical activity of parts of the reproductive system in sows. Off-line analysis of the duration of EMG activity bursts in the uterus, isthmus and ampulla were significantly higher during early pregnancy (phases II and III) than in the oestrous phase. The EMG signals demonstrated low mean amplitudes of activity in the oviduct and uterus during early pregnancy (phases I-III). Significant differences between the root mean square signals were observed in the isthmus and ampulla both during oestrus and in early pregnancy (phase I; P < 0.01). During the oestrous phase, the P4 concentration was estimated at <1 ng ml-1 , whereas the LH concentration was >4 ng ml-1 . In contrast, during early pregnancy, the P4 and LH concentrations were estimated at >4 and <1 ng ml-1 , respectively.
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Affiliation(s)
- Bartosz Pawlinski
- Department of Large Animal Diseases with Clinic, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland.,Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland
| | - Malgorzata Domino
- Department of Large Animal Diseases with Clinic, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland.,Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland
| | - Romuald Zabielski
- Department of Large Animal Diseases with Clinic, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland.,Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland
| | - Katarzyna Siewruk
- Department of Large Animal Diseases with Clinic, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland.,Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland
| | - Malgorzata Polanska-Plachta
- 2nd Department of General, Vascular and Oncologic Surgery, 2nd Faculty of Medicine with English Division and Physiotherapy Division, MUW, Czerniakowski Hospital, Warszawa, Poland
| | - Zdzislaw Gajewski
- Department of Large Animal Diseases with Clinic, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland.,Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, WULS - SGGW, Warsaw, Poland
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17
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Toward noninvasive monitoring of ongoing electrical activity of human uterus and fetal heart and brain. Clin Neurophysiol 2017; 128:2470-2481. [PMID: 29100065 PMCID: PMC5697525 DOI: 10.1016/j.clinph.2017.08.026] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2017] [Revised: 08/01/2017] [Accepted: 08/12/2017] [Indexed: 11/23/2022]
Abstract
Evaluated a fetal-maternal scanner for monitoring electrical maternal and fetal organ activity. The simulated scanner can monitor the uterine and fetal heart and brain activity online. Biomagnetic monitors similar to this instrument should be useful in clinical neurophysiology.
Objective To evaluate whether a full-coverage fetal-maternal scanner can noninvasively monitor ongoing electrophysiological activity of maternal and fetal organs. Methods A simulation study was carried out for a scanner with an array of magnetic field sensors placed all around the torso from the chest to the hip within a horizontal magnetic shielding enclosure. The magnetic fields from internal organs and an external noise source were computed for a pregnant woman with a 35-week old fetus. Signal processing methods were used to reject the external and internal interferences, to visualize uterine activity, and to detect activity of fetal heart and brain. Results External interference was reduced by a factor of 1000, sufficient for detecting signals from internal organs when combined with passive and active shielding. The scanner rejects internal interferences better than partial-coverage arrays. It can be used to estimate currents around the uterus. It clearly detects spontaneous activity from the fetal heart and brain without averaging and weaker evoked brain activity at all fetal head positions after averaging. Conclusion The simulated device will be able to monitor the ongoing activity of the fetal and maternal organs. Significance This type of scanner may become a novel tool in fetal medicine.
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Domino M, Pawlinski B, Gajewski Z. Biomathematical pattern of EMG signal propagation in smooth muscle of the non-pregnant porcine uterus. PLoS One 2017; 12:e0173452. [PMID: 28282410 PMCID: PMC5345803 DOI: 10.1371/journal.pone.0173452] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Accepted: 02/22/2017] [Indexed: 01/20/2023] Open
Abstract
Uterine contractions are generated by myometrial smooth muscle cells (SMCs) that comprise most of the myometrial layer of the uterine wall. Aberrant uterine motility (i.e., hypo- or hyper-contractility or asynchronous contractions) has been implicated in the pathogenesis of infertility due to the failure of implantation, endometriosis and abnormal estrous cycles. The mechanism whereby the non-pregnant uterus initiates spontaneous contractions remains poorly understood. The aim of the present study was to employ linear synchronization measures for analyzing the pattern of EMG signal propagation (direction and speed) in smooth muscles of the non-pregnant porcine uterus in vivo using telemetry recording system. It has been revealed that the EMG signal conduction in the uterine wall of the non-pregnant sow does not occur at random but it rather exhibits specific directions and speed. All detectable EMG signals moved along the uterine horn in both cervico-tubal and tubo-cervical directions. The signal migration speed could be divided into the three main types or categories: i. slow basic migration rhythm (SBMR); ii. rapid basic migration rhythm (RBMR); and iii. rapid accessory migration rhythm (RAMR). In conclusion, the EMG signal propagation in smooth muscles of the porcine uterus in vivo can be assessed using a linear synchronization model. Physiological pattern of the uterine contractile activity determined in this study provides a basis for future investigations of normal and pathologicall myogenic function of the uterus.
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Affiliation(s)
- Malgorzata Domino
- Department of Large Animal Diseases with Clinic, Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, Warsaw University of Life Sciences (WULS – SGGW), Warsaw, Poland
| | - Bartosz Pawlinski
- Department of Large Animal Diseases with Clinic, Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, Warsaw University of Life Sciences (WULS – SGGW), Warsaw, Poland
| | - Zdzislaw Gajewski
- Department of Large Animal Diseases with Clinic, Veterinary Research Centre and Center for Biomedical Research, Faculty of Veterinary Medicine, Warsaw University of Life Sciences (WULS – SGGW), Warsaw, Poland
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Qian X, Li P, Shi SQ, Garfield RE, Liu H. Simultaneous Recording and Analysis of Uterine and Abdominal Muscle Electromyographic Activity in Nulliparous Women During Labor. Reprod Sci 2016; 24:471-477. [PMID: 27436367 DOI: 10.1177/1933719116658704] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To record and characterize electromyography (EMG) from the uterus and abdominal muscles during the nonlabor to first and second stages of labor and to define relationships to contractions. METHODS Nulliparous patients without any treatments were used (n = 12 nonlabor stage, 48 during first stage and 33 during second stage). Electromyography of both uterine and abdominal muscles was simultaneously recorded from electrodes placed on patients' abdominal surface using filters to separate uterine and abdominal EMG. Contractions of muscles were also recorded using tocodynamometry. Electromyography was characterized by analysis of various parameters. RESULTS During the first stage of labor, when abdominal EMG is absent, uterine EMG bursts temporally correspond to contractions. In the second stage, uterine EMG bursts usually occur at same frequency as groups of abdominal bursts and precede abdominal bursts, whereas abdominal EMG bursts correspond to contractions and are accompanied by feelings of "urge to push." Uterine EMG increases progressively from nonlabor to second stage of labor. CONCLUSIONS (1) Uterine EMG activity can be separated from abdominal EMG events by filtering. (2) Uterine EMG gradually evolves from the antepartum stage to the first and second stages of labor. (3) Uterine and abdominal EMG reflect electrical activity of the muscles during labor and are valuable to assess uterine and abdominal muscle events that control labor. (4) During the first stage of labor uterine, EMG is responsible for contractions, and during the second stage, both uterine and abdominal muscle participate in labor.
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Affiliation(s)
- Xueya Qian
- 1 Department of Obstetrics, First Affiliated Hospital of Jinan University, Guangzhou, China.,2 Department of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Pin Li
- 2 Department of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Shao-Qing Shi
- 2 Department of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Robert E Garfield
- 2 Department of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Huishu Liu
- 2 Department of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
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Zhang M, Tidwell V, La Rosa PS, Wilson JD, Eswaran H, Nehorai A. Modeling Magnetomyograms of Uterine Contractions during Pregnancy Using a Multiscale Forward Electromagnetic Approach. PLoS One 2016; 11:e0152421. [PMID: 27019202 PMCID: PMC4809542 DOI: 10.1371/journal.pone.0152421] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Accepted: 03/14/2016] [Indexed: 01/22/2023] Open
Abstract
Understanding the mechanisms of uterine contractions during pregnancy is especially important in predicting the onset of labor and thus in forecasting preterm deliveries. Preterm birth can cause serious health problems in newborns, as well as large financial burdens to society. Various techniques such as electromyography (EMG) and magnetomyography (MMG) have been developed to quantify uterine contractions. However, no widely accepted method to predict labor based on electromagnetic measurement is available. Therefore, developing a biophysical model of EMG and MMG could help better understand uterine contractions, interpret real measurements, and detect labor. In this work, we propose a multiscale realistic model of uterine contractions during pregnancy. At the cellular level, building on bifurcation theory, we apply generalized FitzHugh-Nagumo (FHN) equations that produces both plateau-type and bursting-type action potentials. At the tissue level, we introduce a random fiber orientation model applicable to an arbitrary uterine shape. We also develop an analytical expression for the propagation speed of transmembrane potential. At the organ level, a realistic volume conductor geometry model is provided based on magnetic resonance images of a pregnant woman. To simulate the measurements from the SQUID Array for Reproductive Assessment (SARA) device, we propose a sensor array model. Our model is able to reproduce the characteristics of action potentials. Additionally, we investigate the sensitivity of MMG to model configuration aspects such as volume geometry, fiber orientation, and pacemaker location. Our numerical results show that fiber orientation and pacemaker location are the key aspects that greatly affect the MMG as measured by the SARA device. We conclude that sphere is appropriate as an approximation of the volume geometry. The initial step towards validating the model against real MMG measurement is also presented. Our results show that the model is flexible to mimic the limited-propagation magnetic signature during the emergence and decay of a uterine contraction.
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Affiliation(s)
- Mengxue Zhang
- Department of Electrical and Systems Engineering, Washington University in Saint Louis, Saint Louis, Missouri, United States of America
| | - Vanessa Tidwell
- Department of Electrical and Systems Engineering, Washington University in Saint Louis, Saint Louis, Missouri, United States of America
| | - Patricio S. La Rosa
- Research & Development/Technology Pipeline Solutions, Monsanto Company, Saint Louis, Missouri, United States of America
- Joint Undergraduate Engineering Program - University of Missouri and Washington University in Saint Louis, Saint Louis, Missouri, United States of America
| | - James D. Wilson
- Graduate Institute of Technology, University of Arkansas at Little Rock, Little Rock, Arkansas, United States of America
| | - Hari Eswaran
- Department of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - Arye Nehorai
- Department of Electrical and Systems Engineering, Washington University in Saint Louis, Saint Louis, Missouri, United States of America
- * E-mail:
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21
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Characterizing the Propagation of Uterine Electrophysiological Signals Recorded with a Multi-Sensor Abdominal Array in Term Pregnancies. PLoS One 2015; 10:e0140894. [PMID: 26505624 PMCID: PMC4624716 DOI: 10.1371/journal.pone.0140894] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 10/01/2015] [Indexed: 11/19/2022] Open
Abstract
The objective of this study was to quantify the number of segments that have contractile activity and determine the propagation speed from uterine electrophysiological signals recorded over the abdomen. The uterine magnetomyographic (MMG) signals were recorded with a 151 channel SARA (SQUID Array for Reproductive Assessment) system from 36 pregnant women between 37 and 40 weeks of gestational age. The MMG signals were scored and segments were classified based on presence of uterine contractile burst activity. The sensor space was then split into four quadrants and in each quadrant signal strength at each sample was calculated using center-of-gravity (COG). To this end, the cross-correlation analysis of the COG was performed to calculate the delay between pairwise combinations of quadrants. The relationship in propagation across the quadrants was quantified and propagation speeds were calculated from the delays. MMG recordings were successfully processed from 25 subjects and the average values of propagation speeds ranged from 1.3-9.5 cm/s, which was within the physiological range. The propagation was observed between both vertical and horizontal quadrants confirming multidirectional propagation. After the multiple pairwise test (99% CI), significant differences in speeds can be observed between certain vertical or horizontal combinations and the crossed pair combinations. The number of segments containing contractile activity in any given quadrant pair with a detectable delay was significantly higher in the lower abdominal pairwise combination as compared to all others. The quadrant-based approach using MMG signals provided us with high spatial-temporal information of the uterine contractile activity and will help us in the future to optimize abdominal electromyographic (EMG) recordings that are practical in a clinical setting.
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Lammers WJEP, Stephen B, Al-Sultan MA, Subramanya SB, Blanks AM. The location of pacemakers in the uteri of pregnant guinea pigs and rats. Am J Physiol Regul Integr Comp Physiol 2015; 309:R1439-46. [PMID: 26377559 DOI: 10.1152/ajpregu.00187.2015] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 09/01/2015] [Indexed: 01/31/2023]
Abstract
The pregnant uterus is a smooth muscle organ whose pattern of contraction is dictated by the propagation of electrical impulses. Such electrical activity may originate from one or more pacemakers, but the location of these sites has not yet been determined. To detect the location of the pacemaker in the gravid uterus, two approaches were used: 1) determine the site from where the contraction started using isolated uteri from the pregnant guinea pig, and videotape their contractions; and 2) record, in isolated uteri from pregnant term rats, with 240 extracellular electrodes simultaneously, and determine where the electrical bursts started. In both the contractile and electrophysiological experiments, there was not a single, specific pacemaker area. However, most contractions (guinea pig 87%) and bursts (rat 76%) started close to the mesometrial border (mean 2.7 ± 4.0 mm SD in guinea pigs and 1.3 ± 1.4 mm in rats). In addition, in the rat, most sites of initiations were located closer to the ovarial end of the horn (mean distance from the ovarial end 6.0 ± 6.2 mm SD), whereas such an orientation was not seen in the guinea pig. In both guinea pig and rat uteri at term, there is not one specific pacemaker area. Rather, contractile and electrical activity may arise from any site, with the majority starting close to the mesometrial border. Furthermore, in the rat, most activities started at the ovarial end of the horn. This may suggest a slightly different pattern of contraction in both species.
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Affiliation(s)
- Wim J E P Lammers
- Department of Physiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates; and
| | - Betty Stephen
- Department of Physiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates; and
| | - Mahmood Ahmed Al-Sultan
- Department of Physiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates; and
| | - Sandeep B Subramanya
- Department of Physiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates; and
| | - Andrew M Blanks
- Division of Translational and Systems Medicine, Warwick Medical School, Clinical Sciences Research Laboratory, Coventry, United Kingdom
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Garcia MAC, Baffa O. Magnetic fields from skeletal muscles: a valuable physiological measurement? Front Physiol 2015; 6:228. [PMID: 26321960 PMCID: PMC4530668 DOI: 10.3389/fphys.2015.00228] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Accepted: 07/28/2015] [Indexed: 11/13/2022] Open
Affiliation(s)
- Marco A C Garcia
- Departamento de Biociências da Atividade Física, Escola de Educação Física e Desportos, Universidade Federal do Rio de Janeiro Rio de Janeiro, Brasil ; Departamento de Física, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo Ribeirão Preto, Brasil
| | - Oswaldo Baffa
- Departamento de Física, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo Ribeirão Preto, Brasil
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Smith R, Imtiaz M, Banney D, Paul JW, Young RC. Why the heart is like an orchestra and the uterus is like a soccer crowd. Am J Obstet Gynecol 2015; 213:181-5. [PMID: 26116101 DOI: 10.1016/j.ajog.2015.06.040] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 06/01/2015] [Accepted: 06/16/2015] [Indexed: 12/22/2022]
Abstract
The human uterus has no pacemaker or motor innervation, yet develops rhythmic, powerful contractions that increase intrauterine pressure to dilate the cervix and force the fetus through the pelvis. To achieve the synchronous contractions required for labor, the muscle cells of the uterus act as independent oscillators that become increasingly coupled by gap junctions toward the end of pregnancy. The oscillations are facilitated by changes in resting membrane potential that occur as pregnancy progresses. Reductions of potassium channels in the myocyte membranes in late pregnancy prolong myocyte action potentials, further facilitating transmission of signals and recruitment of neighboring myocytes. Late in pregnancy prostaglandin production increases leading to increased myocyte excitability. Also late in pregnancy myocyte actin polymerizes allowing actin-myosin interactions that generate force, following myocyte depolarization, calcium entry, and activation of myosin kinase. Labor occurs as a consequence of the combination of increased myocyte to myocyte connectivity, increased depolarizations that last longer, and activated intracellular contractile machinery. During labor the synchronous contractions of muscle cells raise intrauterine pressure to dilate the cervix in a process distinct from peristalsis. The synchronous contractions occur in a progressively larger region of the uterine wall. As the size of the region increases with increasing connectivity, the contraction of that larger area leads to an increase in intrauterine pressure. The resulting increased wall tension causes myocyte depolarization in other parts of the uterus, generating widespread synchronous activity and increased force as more linked regions are recruited into the contraction. The emergent behavior of the uterus has parallels in the behavior of crowds at soccer matches that sing together without a conductor. This contrasts with the behavior of the heart where sequential contractions are regulated by a pacemaker in a similar way to the actions of a conductor and an orchestra.
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