Universal characteristics of evolution and development are inherent in fetal autonomic brain maturation
Adverse prenatal environmental influences to the developing fetus are associated with mental and cardiovascular disease in later life. Universal developmental characteristics such as self-organization, pattern formation, and adaptation in the growing information processing system have not yet been s...
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Published in | Autonomic neuroscience Vol. 212; pp. 32 - 41 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Netherlands
Elsevier B.V
01.07.2018
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Abstract | Adverse prenatal environmental influences to the developing fetus are associated with mental and cardiovascular disease in later life. Universal developmental characteristics such as self-organization, pattern formation, and adaptation in the growing information processing system have not yet been sufficiently analyzed with respect to description of normal fetal development and identification of developmental disturbances. Fetal heart rate patterns are the only non-invasive order parameter of the developing autonomic brain available with respect to the developing complex organ system. The objective of the present study was to investigate whether universal indices, known from evolution and phylogeny, describe the ontogenetic fetal development from 20 weeks of gestation onwards. By means of a 10-fold cross-validated data-driven multivariate regression modeling procedure, relevant indices of heart rate variability (HRV) were explored using 552 fetal heart rate recordings, each lasting over 30 min. We found that models which included HRV indices of increasing fluctuation amplitude, complexity and fractal long-range dependencies largely estimated the maturation age (coefficients of determination 0.61–0.66). Consideration of these characteristics in prenatal care may not only have implications for early identification of developmental disturbances, but also for the development of system-theory-based therapeutic strategies. |
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AbstractList | Adverse prenatal environmental influences to the developing fetus are associated with mental and cardiovascular disease in later life. Universal developmental characteristics such as self-organization, pattern formation, and adaptation in the growing information processing system have not yet been sufficiently analyzed with respect to description of normal fetal development and identification of developmental disturbances. Fetal heart rate patterns are the only non-invasive order parameter of the developing autonomic brain available with respect to the developing complex organ system. The objective of the present study was to investigate whether universal indices, known from evolution and phylogeny, describe the ontogenetic fetal development from 20 weeks of gestation onwards. By means of a 10-fold cross-validated data-driven multivariate regression modeling procedure, relevant indices of heart rate variability (HRV) were explored using 552 fetal heart rate recordings, each lasting over 30 min. We found that models which included HRV indices of increasing fluctuation amplitude, complexity and fractal long-range dependencies largely estimated the maturation age (coefficients of determination 0.61-0.66). Consideration of these characteristics in prenatal care may not only have implications for early identification of developmental disturbances, but also for the development of system-theory-based therapeutic strategies. |
Author | Schukat-Talamazzini, Ernst G. Pytlik, Adelina Kumm, Kathrin Witte, Otto W. Schneider, Uwe Kynass, Isabelle Zöllkau, Janine Leibl, Sophia Hoyer, Dirk Schleussner, Ekkehard Schmidt, Alexander Bode, Franziska |
Author_xml | – sequence: 1 givenname: Alexander surname: Schmidt fullname: Schmidt, Alexander organization: Biomagnetic Center, Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 2 givenname: Ernst G. surname: Schukat-Talamazzini fullname: Schukat-Talamazzini, Ernst G. organization: Institute of Computer Science, Friedrich-Schiller-University Jena, Germany – sequence: 3 givenname: Janine surname: Zöllkau fullname: Zöllkau, Janine organization: Biomagnetic Center, Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 4 givenname: Adelina surname: Pytlik fullname: Pytlik, Adelina organization: Biomagnetic Center, Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 5 givenname: Sophia surname: Leibl fullname: Leibl, Sophia organization: Biomagnetic Center, Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 6 givenname: Kathrin surname: Kumm fullname: Kumm, Kathrin organization: Biomagnetic Center, Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 7 givenname: Franziska surname: Bode fullname: Bode, Franziska organization: Biomagnetic Center, Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 8 givenname: Isabelle surname: Kynass fullname: Kynass, Isabelle organization: Biomagnetic Center, Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 9 givenname: Otto W. surname: Witte fullname: Witte, Otto W. organization: Biomagnetic Center, Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 10 givenname: Ekkehard surname: Schleussner fullname: Schleussner, Ekkehard organization: Department of Obstetrics, Division of Prenatal Diagnostics and Fetal Physiology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 11 givenname: Uwe surname: Schneider fullname: Schneider, Uwe organization: Department of Obstetrics, Division of Prenatal Diagnostics and Fetal Physiology, Jena University Hospital, Friedrich Schiller University, Jena, Germany – sequence: 12 givenname: Dirk surname: Hoyer fullname: Hoyer, Dirk email: dirk.hoyer@med.uni-jena.de organization: Biomagnetic Center, Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany |
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Keywords | Autonomic brain age Maturation Autonomic nervous system Development Evolution Fetus Ontogeny Heart rate variability |
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SubjectTerms | Autonomic brain age Autonomic nervous system Development Evolution Fetus Heart rate variability Maturation Ontogeny |
Title | Universal characteristics of evolution and development are inherent in fetal autonomic brain maturation |
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