Fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability

Disturbances of fetal autonomic brain development can be evaluated from fetal heart rate patterns (HRP) reflecting the activity of the autonomic nervous system. Although HRP analysis from cardiotocographic (CTG) recordings is established for fetal surveillance, temporal resolution is low. Fetal magn...

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Autores principales: Hoyer, Dirk, Kowalski, Eva-Maria, Schmidt, Alexander, Tetschke, Florian, Nowack, Samuel, Rudolph, Anja, Wallwitz, Ulrike, Kynass, Isabelle, Bode, Franziska, Tegtmeyer, Janine, Kumm, Kathrin, Moraru, Liviu, Götz, Theresa, Haueisen, Jens, Witte, Otto W., Schleußner, Ekkehard, Schneider, Uwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243554/
https://www.ncbi.nlm.nih.gov/pubmed/25505399
http://dx.doi.org/10.3389/fnhum.2014.00948
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author Hoyer, Dirk
Kowalski, Eva-Maria
Schmidt, Alexander
Tetschke, Florian
Nowack, Samuel
Rudolph, Anja
Wallwitz, Ulrike
Kynass, Isabelle
Bode, Franziska
Tegtmeyer, Janine
Kumm, Kathrin
Moraru, Liviu
Götz, Theresa
Haueisen, Jens
Witte, Otto W.
Schleußner, Ekkehard
Schneider, Uwe
author_facet Hoyer, Dirk
Kowalski, Eva-Maria
Schmidt, Alexander
Tetschke, Florian
Nowack, Samuel
Rudolph, Anja
Wallwitz, Ulrike
Kynass, Isabelle
Bode, Franziska
Tegtmeyer, Janine
Kumm, Kathrin
Moraru, Liviu
Götz, Theresa
Haueisen, Jens
Witte, Otto W.
Schleußner, Ekkehard
Schneider, Uwe
author_sort Hoyer, Dirk
collection PubMed
description Disturbances of fetal autonomic brain development can be evaluated from fetal heart rate patterns (HRP) reflecting the activity of the autonomic nervous system. Although HRP analysis from cardiotocographic (CTG) recordings is established for fetal surveillance, temporal resolution is low. Fetal magnetocardiography (MCG), however, provides stable continuous recordings at a higher temporal resolution combined with a more precise heart rate variability (HRV) analysis. A direct comparison of CTG and MCG based HRV analysis is pending. The aims of the present study are: (i) to compare the fetal maturation age predicting value of the MCG based fetal Autonomic Brain Age Score (fABAS) approach with that of CTG based Dawes-Redman methodology; and (ii) to elaborate fABAS methodology by segmentation according to fetal behavioral states and HRP. We investigated MCG recordings from 418 normal fetuses, aged between 21 and 40 weeks of gestation. In linear regression models we obtained an age predicting value of CTG compatible short term variability (STV) of R(2) = 0.200 (coefficient of determination) in contrast to MCG/fABAS related multivariate models with R(2) = 0.648 in 30 min recordings, R(2) = 0.610 in active sleep segments of 10 min, and R(2) = 0.626 in quiet sleep segments of 10 min. Additionally segmented analysis under particular exclusion of accelerations (AC) and decelerations (DC) in quiet sleep resulted in a novel multivariate model with R(2) = 0.706. According to our results, fMCG based fABAS may provide a promising tool for the estimation of fetal autonomic brain age. Beside other traditional and novel HRV indices as possible indicators of developmental disturbances, the establishment of a fABAS score normogram may represent a specific reference. The present results are intended to contribute to further exploration and validation using independent data sets and multicenter research structures.
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spelling pubmed-42435542014-12-10 Fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability Hoyer, Dirk Kowalski, Eva-Maria Schmidt, Alexander Tetschke, Florian Nowack, Samuel Rudolph, Anja Wallwitz, Ulrike Kynass, Isabelle Bode, Franziska Tegtmeyer, Janine Kumm, Kathrin Moraru, Liviu Götz, Theresa Haueisen, Jens Witte, Otto W. Schleußner, Ekkehard Schneider, Uwe Front Hum Neurosci Neuroscience Disturbances of fetal autonomic brain development can be evaluated from fetal heart rate patterns (HRP) reflecting the activity of the autonomic nervous system. Although HRP analysis from cardiotocographic (CTG) recordings is established for fetal surveillance, temporal resolution is low. Fetal magnetocardiography (MCG), however, provides stable continuous recordings at a higher temporal resolution combined with a more precise heart rate variability (HRV) analysis. A direct comparison of CTG and MCG based HRV analysis is pending. The aims of the present study are: (i) to compare the fetal maturation age predicting value of the MCG based fetal Autonomic Brain Age Score (fABAS) approach with that of CTG based Dawes-Redman methodology; and (ii) to elaborate fABAS methodology by segmentation according to fetal behavioral states and HRP. We investigated MCG recordings from 418 normal fetuses, aged between 21 and 40 weeks of gestation. In linear regression models we obtained an age predicting value of CTG compatible short term variability (STV) of R(2) = 0.200 (coefficient of determination) in contrast to MCG/fABAS related multivariate models with R(2) = 0.648 in 30 min recordings, R(2) = 0.610 in active sleep segments of 10 min, and R(2) = 0.626 in quiet sleep segments of 10 min. Additionally segmented analysis under particular exclusion of accelerations (AC) and decelerations (DC) in quiet sleep resulted in a novel multivariate model with R(2) = 0.706. According to our results, fMCG based fABAS may provide a promising tool for the estimation of fetal autonomic brain age. Beside other traditional and novel HRV indices as possible indicators of developmental disturbances, the establishment of a fABAS score normogram may represent a specific reference. The present results are intended to contribute to further exploration and validation using independent data sets and multicenter research structures. Frontiers Media S.A. 2014-11-25 /pmc/articles/PMC4243554/ /pubmed/25505399 http://dx.doi.org/10.3389/fnhum.2014.00948 Text en Copyright © 2014 Hoyer, Kowalski, Schmidt, Tetschke, Nowack, Rudolph, Wallwitz, Kynass, Bode, Tegtmeyer, Kumm, Moraru, Götz, Haueisen, Witte, Schleußner and Schneider. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Hoyer, Dirk
Kowalski, Eva-Maria
Schmidt, Alexander
Tetschke, Florian
Nowack, Samuel
Rudolph, Anja
Wallwitz, Ulrike
Kynass, Isabelle
Bode, Franziska
Tegtmeyer, Janine
Kumm, Kathrin
Moraru, Liviu
Götz, Theresa
Haueisen, Jens
Witte, Otto W.
Schleußner, Ekkehard
Schneider, Uwe
Fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability
title Fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability
title_full Fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability
title_fullStr Fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability
title_full_unstemmed Fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability
title_short Fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability
title_sort fetal autonomic brain age scores, segmented heart rate variability analysis, and traditional short term variability
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243554/
https://www.ncbi.nlm.nih.gov/pubmed/25505399
http://dx.doi.org/10.3389/fnhum.2014.00948
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