1
|
Whitehead K. Co-developing sleep-wake and sensory foundations for cognition in the human fetus and newborn. Dev Cogn Neurosci 2024; 71:101487. [PMID: 39675060 DOI: 10.1016/j.dcn.2024.101487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 11/07/2024] [Accepted: 12/03/2024] [Indexed: 12/17/2024] Open
Abstract
In older children and adults, cognition builds upon waking sensory experience which is consolidated during sleep. In the fetus and newborn, sensory input is instead largely experienced during sleep. The nature of these sensory inputs differs within sleep, between active and quiet sleep, as well as versus wakefulness. Here, sleep-wake organisation in the fetus and newborn is reviewed, and then its interaction with sensory inputs discussed with a focus on somatosensory and auditory modalities. Next, these ideas are applied to how neurological insults affect early development, using fetal growth restriction as a test case. Finally, the argument is made that taking account of sleep-wake state during perinatal functional neuroimaging can better index sensorimotor, language, and cognitive brain activities, potentially improving its diagnostic and prognostic value. To sum up, sensory and sleep-wake functions go hand in hand during early human development. Perturbation of these twinned functions by neurological insults may mediate later neurodevelopmental deficits. Perinatal neuroimaging has the potential to track these trajectories, feasibly identifying opportunities to therapeutically intervene.
Collapse
Affiliation(s)
- Kimberley Whitehead
- Research Division of Digital Health and Applied Technology Assessment (DHATA), Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, James Clerk Maxwell Building, 57 Waterloo Rd, London SE1 8WA, UK.
| |
Collapse
|
2
|
Widatalla N, Alkhodari M, Koide K, Yoshida C, Kasahara Y, Saito M, Kimura Y, Habib Khandoker A. Prediction of fetal RR intervals from maternal factors using machine learning models. Sci Rep 2023; 13:19765. [PMID: 37957257 PMCID: PMC10643643 DOI: 10.1038/s41598-023-46920-4] [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: 06/12/2023] [Accepted: 11/07/2023] [Indexed: 11/15/2023] Open
Abstract
Previous literature has highlighted the importance of maternal behavior during the prenatal period for the upbringing of healthy adults. During pregnancy, fetal health assessments are mainly carried out non-invasively by monitoring fetal growth and heart rate (HR) or RR interval (RRI). Despite this, research entailing prediction of fHRs from mHRs is scarce mainly due to the difficulty in non-invasive measurements of fetal electrocardiogram (fECG). Also, so far, it is unknown how mHRs are associated with fHR over the short term. In this study, we used two machine learning models, support vector regression (SVR) and random forest (RF), for predicting average fetal RRI (fRRI). The predicted fRRI values were compared with actual fRRI values calculated from non-invasive fECG. fRRI was predicted from 13 maternal features that consisted of age, weight, and non-invasive ECG-derived parameters that included HR variability (HRV) and R wave amplitude variability. 156 records were used for training the models and the results showed that the SVR model outperformed the RF model with a root mean square error (RMSE) of 29 ms and an average error percentage (< 5%). Correlation analysis between predicted and actual fRRI values showed that the Spearman coefficient for the SVR and RF models were 0.31 (P < 0.001) and 0.19 (P < 0.05), respectively. The SVR model was further used to predict fRRI of 14 subjects who were not included in the training. The latter prediction results showed that individual error percentages were (≤ 5%) except in 3 subjects. The results of this study show that maternal factors can be potentially used for the assessment of fetal well-being based on fetal HR or RRI.
Collapse
Affiliation(s)
- Namareq Widatalla
- Khalifa University, Abu Dhabi, UAE.
- Next Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.
| | - Mohanad Alkhodari
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center, Khalifa University, Abu Dhabi, UAE
- Radcliffe Department of Medicine, Cardiovascular Clinical Research Facility, University of Oxford, Oxford, UK
| | - Kunihiro Koide
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan
- Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Chihiro Yoshida
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan
- Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoshiyuki Kasahara
- Next Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan
- Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Maternal and Child Health Care Medical Science, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masatoshi Saito
- Next Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Maternal and Child Health Care Medical Science, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoshitaka Kimura
- Next Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan
- Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ahsan Habib Khandoker
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center, Khalifa University, Abu Dhabi, UAE
| |
Collapse
|
3
|
Nichting TJ, Bester M, Joshi R, Mischi M, van der Ven M, van der Woude DAA, Oei SG, van Laar JOEH, Vullings R. Evidence and clinical relevance of maternal-fetal cardiac coupling: A scoping review. PLoS One 2023; 18:e0287245. [PMID: 37437012 DOI: 10.1371/journal.pone.0287245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 06/01/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Researchers have long suspected a mutual interaction between maternal and fetal heart rhythms, referred to as maternal-fetal cardiac coupling (MFCC). While several studies have been published on this phenomenon, they vary in terms of methodologies, populations assessed, and definitions of coupling. Moreover, a clear discussion of the potential clinical implications is often lacking. Subsequently, we perform a scoping review to map the current state of the research in this field and, by doing so, form a foundation for future clinically oriented research on this topic. METHODS A literature search was performed in PubMed, Embase, and Cochrane. Filters were only set for language (English, Dutch, and German literature were included) and not for year of publication. After screening for the title and the abstract, a full-text evaluation of eligibility followed. All studies on MFCC were included which described coupling between heart rate measurements in both the mother and fetus, regardless of the coupling method used, gestational age, or the maternal or fetal health condition. RESULTS 23 studies remained after a systematic evaluation of 6,672 studies. Of these, 21 studies found at least occasional instances of MFCC. Methods used to capture MFCC are synchrograms and corresponding phase coherence indices, cross-correlation, joint symbolic dynamics, transfer entropy, bivariate phase rectified signal averaging, and deep coherence. Physiological pathways regulating MFCC are suggested to exist either via the autonomic nervous system or due to the vibroacoustic effect, though neither of these suggested pathways has been verified. The strength and direction of MFCC are found to change with gestational age and with the rate of maternal breathing, while also being further altered in fetuses with cardiac abnormalities and during labor. CONCLUSION From the synthesis of the available literature on MFCC presented in this scoping review, it seems evident that MFCC does indeed exist and may have clinical relevance in tracking fetal well-being and development during pregnancy.
Collapse
Affiliation(s)
- Thomas J Nichting
- Department of Gynaecology and Obstetrics, Veldhoven, The Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Eindhoven MedTech Innovation Centre, Eindhoven, The Netherlands
| | - Maretha Bester
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Eindhoven MedTech Innovation Centre, Eindhoven, The Netherlands
- Department of Patient Care and Monitoring, Philips Research, Eindhoven, The Netherlands
| | - Rohan Joshi
- Department of Patient Care and Monitoring, Philips Research, Eindhoven, The Netherlands
| | - Massimo Mischi
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Eindhoven MedTech Innovation Centre, Eindhoven, The Netherlands
| | - Myrthe van der Ven
- Department of Gynaecology and Obstetrics, Veldhoven, The Netherlands
- Eindhoven MedTech Innovation Centre, Eindhoven, The Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Daisy A A van der Woude
- Department of Gynaecology and Obstetrics, Veldhoven, The Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Eindhoven MedTech Innovation Centre, Eindhoven, The Netherlands
| | - S Guid Oei
- Department of Gynaecology and Obstetrics, Veldhoven, The Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Eindhoven MedTech Innovation Centre, Eindhoven, The Netherlands
| | - Judith O E H van Laar
- Department of Gynaecology and Obstetrics, Veldhoven, The Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Eindhoven MedTech Innovation Centre, Eindhoven, The Netherlands
| | - Rik Vullings
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Eindhoven MedTech Innovation Centre, Eindhoven, The Netherlands
- Nemo Healthcare, Veldhoven, The Netherlands
| |
Collapse
|
4
|
Wakefield C, Yao L, Self S, Frasch MG. Wearable technology for health monitoring during pregnancy: an observational cross-sectional survey study. Arch Gynecol Obstet 2023; 308:73-78. [PMID: 35831759 PMCID: PMC9281287 DOI: 10.1007/s00404-022-06705-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 07/03/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE To evaluate how women of child-bearing age perceive the use of remote fetal ECG monitoring technologies. Telemedicine has advanced to the forefront of healthcare delivery, including maternal-fetal medicine. Smart wearable electrocardiogram (ECG) devices can enable pregnant women to monitor their health and that of their fetuses. Such technology would be a logical extension of the telemedicine ecosystem. METHODS We conducted an observational cross-sectional study via online surveying in the United States. Study participants were recruited using the SurveyMonkey Audience Polling system and responded virtually. In all, the sample consisted of 507 women, aged 18-45 from 45 states, who are expecting to become pregnant in the next five years. Women were asked to identify their willingness to use a wearable ECG device the size of a patch-sized large band-aid on their abdomen. Ten binary or multiple-choice questions were used to gauge population interest and related demographics toward the usage of a wearable ECG device. RESULTS Of the 507 participants, 461 (91%) women expressed an acceptance of wearable ECG technology throughout the pregnancy as a mechanism for increased frequency of monitoring of maternal and fetal health outside the hospital. 395 (78%) women demonstrated a willingness to wear devices day and night or at least during sleep and 213 (42%) of the women would spend up to $200 on such a device. CONCLUSION Even though conducted prior to the COVID-19 pandemic, this study clearly indicates a high degree of readiness of prospective pregnant women for telemedicine with continuous health monitoring of the mother-fetus dyad.
Collapse
Affiliation(s)
- Colin Wakefield
- Department of Obstetrics and Gynecology, Center on Human Development and Disability (CHDD), University of Washington, 1959 NE Pacific St, Box 356460, Seattle, WA, 98195, USA
| | - Lena Yao
- Fetal Precision, LLC, Seattle, WA, USA
| | | | - Martin G Frasch
- Department of Obstetrics and Gynecology, Center on Human Development and Disability (CHDD), University of Washington, 1959 NE Pacific St, Box 356460, Seattle, WA, 98195, USA.
- Fetal Precision, LLC, Seattle, WA, USA.
| |
Collapse
|
5
|
DiPietro JA, Bai J, Sgambati FP, Henderson JL, Watson H, Raghunathan RS, Pien GW. Fetal heart rate responses to maternal sleep-disordered breathing. Am J Obstet Gynecol 2023; 228:459.e1-459.e8. [PMID: 36183777 PMCID: PMC10050230 DOI: 10.1016/j.ajog.2022.09.037] [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: 07/23/2022] [Revised: 09/22/2022] [Accepted: 09/24/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Maternal sleep-disordered breathing is associated with adverse pregnancy outcomes and is considered to be deleterious to the developing fetus. Maternal obesity potentiates sleep-disordered breathing, which, in turn, may contribute to the effect of maternal obesity on adverse fetal outcomes. However, only a few empirical studies have evaluated the contemporaneous effects of maternal sleep-disordered breathing events on fetal well-being. These events include apnea and hypopnea with accompanying desaturations in oxyhemoglobin. OBJECTIVE This study aimed to reconcile contradictory findings on the associations between maternal apnea or hypopnea events and clinical indicators of fetal compromise. It also sought to broaden the knowledge base by examining the fetal heart rate and heart rate variability before, during, and after episodes of maternal apnea or hypopnea. To accomplish this, we employed overnight polysomnography, the gold standard for ascertaining maternal sleep-disordered breathing, and synchronized it with continuous fetal electrocardiography. STUDY DESIGN A total of 84 pregnant women with obesity (body mass index >30 kg/m2) participated in laboratory-based polysomnography with digitized fetal electrocardiography recordings during or near 36 weeks of gestation. Sleep was recorded, on average, for 7 hours. Decelerations in fetal heart rate were identified. Fetal heart rate and heart rate variability were quantified before, during, and after each apnea or hypopnea event. Event-level intensity (desaturation magnitude, duration, and nadir O2 saturation level) and person-level characteristics based on the full overnight recording (apnea-hypopnea index, mean O2 saturation, and O2 saturation variability) were analyzed as potential moderators using linear mixed effects models. RESULTS A total of 2936 sleep-disordered breathing events were identified, distributed among all but 2 participants. On average, participants exhibited 8.7 episodes of apnea or hypopnea per hour (mean desaturation duration, 19.1 seconds; mean O2 saturation nadir, 86.6% per episode); nearly half (n=39) of the participants met the criteria for obstructive sleep apnea. Only 45 of 2936 apnea or hypopnea events were followed by decelerations (1.5%). Conversely, most (n=333, 88%) of the 378 observed decelerations, including the prolonged ones, did not follow an apnea or a hypopnea event. Maternal sleep-disordered breathing burden, body mass index, and fetal sex were unrelated to the number of decelerations. Fetal heart rate variability increased during events of maternal apnea or hypopnea but returned to initial levels soon thereafter. There was a dose-response association between the size of the increase in fetal heart rate variability and the maternal apnea-hypopnea index, event duration, and desaturation depth. Longer desaturations were associated with a decreased likelihood of the variability returning to baseline levels after the event. The mean fetal heart rate did not change during episodes of maternal apnea or hypopnea. CONCLUSION Episodes of maternal sleep apnea and hypopnea did not evoke decelerations in the fetal heart rate despite the predisposing risk factors that accompany maternal obesity. The significance of the modest transitory increase in fetal heart rate variability in response to apnea and hypopnea episodes is not clear but may reflect compensatory, delimited autonomic responses to momentarily adverse conditions. This study found no evidence that episodes of maternal sleep-disordered breathing pose an immediate threat, as reflected in fetal heart rate responses, to the near-term fetus.
Collapse
Affiliation(s)
- Janet A DiPietro
- Department of Population, Family & Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
| | - Jiawei Bai
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Francis P Sgambati
- Center for Interdisciplinary Sleep Research and Education, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Janice L Henderson
- Division of Maternal-Fetal Medicine, Department of Gynecology & Obstetrics, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Heather Watson
- Department of Population, Family & Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Radhika S Raghunathan
- Department of Population, Family & Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Grace W Pien
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD
| |
Collapse
|
6
|
Widatalla N, Khandoker A, Alkhodari M, Koide K, Yoshida C, Kasahara Y, Kimura Y, Saito M. Similarities between maternal and fetal RR interval tachograms and their association with fetal development. Front Physiol 2022; 13:964755. [PMID: 36479345 PMCID: PMC9721082 DOI: 10.3389/fphys.2022.964755] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 11/02/2022] [Indexed: 12/26/2023] Open
Abstract
An association between maternal and fetal heart rate (HR) has been reported but, so far, little is known about its physiological implication and importance relative to fetal development. Associations between both HRs were investigated previously by performing beat-by-beat coupling analysis and correlation analysis between average maternal and fetal HRs. However, studies reporting on the presence of similarities between maternal and fetal HRs or RR intervals (RRIs) over the short term (e.g., 5-min) at different gestational ages (GAs) are scarce. Here, we demonstrate the presence of similarities in the variations exhibited by maternal and fetal RRl tachograms (RRITs). To quantify the same similarities, a cross-correlation (CC) analysis between resampled maternal and fetal RRITs was conducted; RRITs were obtained from non-invasive electrocardiogram (ECG). The degree of similarity between maternal and fetal RRITs (bmfRRITs) was quantified by calculating four CC coefficients. CC analysis was performed for a total of 330 segments (two 5-min segments from 158 subjects and one 5-min from 14 subjects). To investigate the association of the similarity bmfRRITs with fetal development, the linear correlation between the calculated CC coefficients and GA was calculated. The results from the latter analysis showed that similarities bmfRRITs are common occurrences, they can be negative or positive, and they increase with GA suggesting the presence of a regulation that is associated with proper fetal development. To get an insight into the physiological mechanisms involved in the similarity bmfRRITs, the association of the same similarity with maternal and fetal HR variability (HRV) was investigated by comparing the means of two groups in which one of them had higher CC values compared to the other. The two groups were created by using the data from the 158 subjects where fetal RRI (fRRI) calculation from two 5-min ECG segments was feasible. The results of the comparison showed that the maternal very low frequency (VLF) HRV parameter is potentially associated with the similarity bmfRRITs implying that maternal hormones could be linked to the regulations involved in the similarity bmfRRITs. Our findings in this study reinforce the role of the maternal intrauterine environment on fetal development.
Collapse
Affiliation(s)
- Namareq Widatalla
- Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Ahsan Khandoker
- Healthcare Engineering Innovation Center, Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Mohanad Alkhodari
- Healthcare Engineering Innovation Center, Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
- Cardiovascular Clinical Research Facility, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Kunihiro Koide
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Chihiro Yoshida
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoshiyuki Kasahara
- Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoshitaka Kimura
- Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masatoshi Saito
- Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
- Tohoku University Graduate School of Medicine, Sendai, Japan
| |
Collapse
|
7
|
Alkhodari M, Widatalla N, Wahbah M, Al Sakaji R, Funamoto K, Krishnan A, Kimura Y, Khandoker AH. Deep learning identifies cardiac coupling between mother and fetus during gestation. Front Cardiovasc Med 2022; 9:926965. [PMID: 35966548 PMCID: PMC9372367 DOI: 10.3389/fcvm.2022.926965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 06/29/2022] [Indexed: 11/18/2022] Open
Abstract
In the last two decades, stillbirth has caused around 2 million fetal deaths worldwide. Although current ultrasound tools are reliably used for the assessment of fetal growth during pregnancy, it still raises safety issues on the fetus, requires skilled providers, and has economic concerns in less developed countries. Here, we propose deep coherence, a novel artificial intelligence (AI) approach that relies on 1 min non-invasive electrocardiography (ECG) to explain the association between maternal and fetal heartbeats during pregnancy. We validated the performance of this approach using a trained deep learning tool on a total of 941 one minute maternal-fetal R-peaks segments collected from 172 pregnant women (20–40 weeks). The high accuracy achieved by the tool (90%) in identifying coupling scenarios demonstrated the potential of using AI as a monitoring tool for frequent evaluation of fetal development. The interpretability of deep learning was significant in explaining synchronization mechanisms between the maternal and fetal heartbeats. This study could potentially pave the way toward the integration of automated deep learning tools in clinical practice to provide timely and continuous fetal monitoring while reducing triage, side-effects, and costs associated with current clinical devices.
Collapse
Affiliation(s)
- Mohanad Alkhodari
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center, Khalifa University, Abu Dhabi, United Arab Emirates
- *Correspondence: Mohanad Alkhodari
| | - Namareq Widatalla
- Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Maisam Wahbah
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Raghad Al Sakaji
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Kiyoe Funamoto
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Anita Krishnan
- Division of Cardiology, Children's National Hospital, Washington, DC, United States
| | - Yoshitaka Kimura
- Department of Maternal and Child Health Care Medical Science, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ahsan H. Khandoker
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center, Khalifa University, Abu Dhabi, United Arab Emirates
- Ahsan H. Khandoker
| |
Collapse
|
8
|
Wilson DL, Fung AM, Skrzypek H, Pell G, Barnes M, Howard ME, Walker SP. Maternal sleep behaviours preceding fetal heart rate events on cardiotocography. J Physiol 2022; 600:1791-1806. [DOI: 10.1113/jp282528] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/17/2022] [Indexed: 11/08/2022] Open
Affiliation(s)
- Danielle L. Wilson
- Institute for Breathing and Sleep, Austin Health Heidelberg Victoria Australia
- Department of Obstetrics and Gynaecology University of Melbourne Parkville Victoria Australia
| | - Alison M. Fung
- Mercy Perinatal Mercy Hospital for Women Heidelberg Victoria Australia
| | - Hannah Skrzypek
- Department of Obstetrics and Gynaecology University of Melbourne Parkville Victoria Australia
- Mercy Perinatal Mercy Hospital for Women Heidelberg Victoria Australia
| | - Gabrielle Pell
- Department of Obstetrics and Gynaecology University of Melbourne Parkville Victoria Australia
| | - Maree Barnes
- Institute for Breathing and Sleep, Austin Health Heidelberg Victoria Australia
- Department of Medicine University of Melbourne Parkville Victoria Australia
| | - Mark E. Howard
- Institute for Breathing and Sleep, Austin Health Heidelberg Victoria Australia
- Department of Medicine University of Melbourne Parkville Victoria Australia
| | - Susan P. Walker
- Department of Obstetrics and Gynaecology University of Melbourne Parkville Victoria Australia
- Mercy Perinatal Mercy Hospital for Women Heidelberg Victoria Australia
| |
Collapse
|
9
|
DiPietro JA, Watson H, Raghunathan RS. Measuring fetal heart rate and variability: Fetal cardiotocography versus electrocardiography. Dev Psychobiol 2022; 64:e22230. [DOI: 10.1002/dev.22230] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/03/2021] [Accepted: 10/13/2021] [Indexed: 11/10/2022]
Affiliation(s)
- Janet A. DiPietro
- Department of Population Family and Reproductive Health Johns Hopkins Bloomberg School of Public Health Johns Hopkins University Baltimore Maryland USA
| | - Heather Watson
- Department of Nursing Johns Hopkins Health System Baltimore Maryland USA
| | - Radhika S. Raghunathan
- Department of Population Family and Reproductive Health Johns Hopkins Bloomberg School of Public Health Johns Hopkins University Baltimore Maryland USA
| |
Collapse
|
10
|
Widatalla N, Khandoker A, Yoshida C, Nakanishi K, Fukase M, Suzuki A, Saito M, Kimura Y, Kasahara Y. Correlation between maternal and fetal heart rate increases with fetal mouse age in typical development and is disturbed in autism mouse model treated with valproic acid. Front Psychiatry 2022; 13:998695. [PMID: 36518366 PMCID: PMC9743798 DOI: 10.3389/fpsyt.2022.998695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 11/07/2022] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Autism spectrum disorder (ASD) is considered a significant behavioral problem that is characterized by impairment in social interaction and communication. It is believed that some cases of ASD originate in the intrauterine maternal environment. Therefore, we hypothesized that there might be qualitative changes in the interaction between the mother and fetus in ASD during the prenatal period, hence, we investigated the similarity patterns between maternal and fetal heart rate (HR). METHODS In this study, we first demonstrate the presence and formation of similarities between maternal and fetal RR interval (RRI) collected from typical developmental mice at different embryonic days (EDs), ED13.5, ED15.5, ED17.5, and ED18.5. The similarities were quantified by means of cross-correlation (CC) and magnitude-squared coherence (MSC) analyses. Correlation analysis between the CC coefficients and EDs and between MSC coefficients and EDs showed that the same coefficients increase with EDs, suggesting that similarities between maternal and fetal RRI are associated with typical fetal development. Next, because maternal and fetal similarities were indicative of development, a comparison analysis between the autism mouse model (injected with valproic acid (VPA)), and the control group (injected with saline) was performed for ED15.5 and ED18.5. RESULTS The results of the comparison showed that the CC and MSC coefficients of VPA fetuses were significantly lower than that of the control group. The lower coefficients in VPA-treated mice suggest that they could be one of the features of ASD symptoms. The findings of this study can assist in identifying potential ASD causes during the prenatal period.
Collapse
Affiliation(s)
- Namareq Widatalla
- Next Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan
| | - Ahsan Khandoker
- Healthcare Engineering Innovation Center, Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Chihiro Yoshida
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan.,Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kana Nakanishi
- Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Miyabi Fukase
- Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Arisa Suzuki
- Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masatoshi Saito
- Next Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.,Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Maternal and Child Health Care Medical Science, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoshitaka Kimura
- Next Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.,Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan.,Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoshiyuki Kasahara
- Next Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.,Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan.,Advanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Maternal and Child Health Care Medical Science, Tohoku University Graduate School of Medicine, Sendai, Japan
| |
Collapse
|
11
|
It takes two: An antenatal to postnatal RDoC framework for investigating the origins of maternal attachment and mother–infant social communication. Dev Psychopathol 2021; 33:1539-1553. [DOI: 10.1017/s0954579421000997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractTransformation of the maternal–fetal relationship into the mother–infant relationship remains an enigmatic process. This progression is considered using a Research Domain Criteria (RDoC) informed approach centered on domains of Arousal/Regulation, Positive/Negative Valence, and Social Processes. One hundred and fifty-eight maternal–fetal dyads began participation during pregnancy, maternal–infant dyads were followed at 6 months postpartum. Women exhibited stability in feelings of attachment to the fetus and infant, and in positive/negative appraisal of pregnancy and motherhood. Elicited maternal physiological arousal to emotionally evocative videos generated fetal heart rate variability and motor activity responses. Parasympathetic (i.e., heart rate variability) suppression in the fetus was associated with more positive and regulated infant social communication in the Face-to-Face Still Face protocol; suppression of maternal respiratory sinus arrhythmia was related to infant affect but in the opposite direction. Maternal ratings of infant temperament aligned with maternal antenatal affective valence. Attachment trajectories characterized by stability from antenatal to postnatal periods were most associated with maternal affective appraisal of pregnancy; shifts were influenced by infant characteristics and maternal sympathetic responsivity. Results illustrate how variation in arousal and regulatory systems of the pregnant woman and fetus operate within the context of maternal positive and negative valence systems to separately and jointly shape affiliation and temperament in early infancy.
Collapse
|