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Heart rate variability parameters and fetal movement complement fetal behavioral states detection via magnetography to monitor neurovegetative development.

Brändle J, Preissl H, Draganova R, Ortiz E, Kagan KO, Abele H, Brucker SY, Kiefer-Schmidt I - Front Hum Neurosci (2015)

Bottom Line: SDNN increased over gestation.Changes of HRV parameters between the fetal behavioral states, especially between 1F and 4F, were statistically significant.Increasing fetal activity was confirmed by a decrease in PE complexity measures.

View Article: PubMed Central - PubMed

Affiliation: University Women's Hospital and Research Institute for Women's Health, University of Tuebingen Tuebingen, Germany ; fMEG Center, University of Tuebingen Tuebingen, Germany ; Department of Obstetrics and Gynecology, University of Tuebingen Tuebingen, Germany.

ABSTRACT
Fetal behavioral states are defined by fetal movement and heart rate variability (HRV). At 32 weeks of gestational age (GA) the distinction of four fetal behavioral states represented by combinations of quiet or active sleep or awakeness is possible. Prior to 32 weeks, only periods of fetal activity and quiesence can be distinguished. The increasing synchronization of fetal movement and HRV reflects the development of the autonomic nervous system (ANS) control. Fetal magnetocardiography (fMCG) detects fetal heart activity at high temporal resolution, enabling the calculation of HRV parameters. This study combined the criteria of fetal movement with the HRV analysis to complete the criteria for fetal state detection. HRV parameters were calculated including the standard deviation of the normal-to-normal R-R interval (SDNN), the mean square of successive differences of the R-R intervals (RMSSD, SDNN/RMSSD ratio, and permutation entropy (PE) to gain information about the developing influence of the ANS within each fetal state. In this study, 55 magnetocardiograms from healthy fetuses of 24-41 weeks' GA were recorded for up to 45 min using a fetal biomagnetometer. Fetal states were classified based on HRV and movement detection. HRV parameters were calculated for each state. Before GA 32 weeks, 58.4% quiescence and 41.6% activity cycles were observed. Later, 24% quiet sleep state (1F), 65.4% active sleep state (2F), and 10.6% active awake state (4F) were observed. SDNN increased over gestation. Changes of HRV parameters between the fetal behavioral states, especially between 1F and 4F, were statistically significant. Increasing fetal activity was confirmed by a decrease in PE complexity measures. The fHRV parameters support the differentiation between states and indicate the development of autonomous nervous control of heart rate function.

No MeSH data available.


Related in: MedlinePlus

(A–E) Box-and-whiskers plots of the distribution of the individual HRV parameter per fetal behavioral state (1F, 2F, 4F).
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Figure 4: (A–E) Box-and-whiskers plots of the distribution of the individual HRV parameter per fetal behavioral state (1F, 2F, 4F).

Mentions: Statistics were performed with SPSS 18.0 for Windows (IBM, Armonk, NY, USA). A one-way ANOVA was used for the statistical analysis of fetal behavioral states (independent variable) and parameters of HRV (dependent variable; Figures 3 and 4). To improve the design ofFigures 3 and 4 all data were plotted on a logarithmic axis. A value of p < 0.05 was considered statistically significant. Post hoc analysis of the difference between the individual states and three age groups employed the Mann–Whitney U test. After correction for multiple comparisons (Bonferroni), p < 0.0167 was considered significant for the post hoc analysis. The correlation of fHRV parameters with GA was analyzed by Spearman’s rank correlation.


Heart rate variability parameters and fetal movement complement fetal behavioral states detection via magnetography to monitor neurovegetative development.

Brändle J, Preissl H, Draganova R, Ortiz E, Kagan KO, Abele H, Brucker SY, Kiefer-Schmidt I - Front Hum Neurosci (2015)

(A–E) Box-and-whiskers plots of the distribution of the individual HRV parameter per fetal behavioral state (1F, 2F, 4F).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4388008&req=5

Figure 4: (A–E) Box-and-whiskers plots of the distribution of the individual HRV parameter per fetal behavioral state (1F, 2F, 4F).
Mentions: Statistics were performed with SPSS 18.0 for Windows (IBM, Armonk, NY, USA). A one-way ANOVA was used for the statistical analysis of fetal behavioral states (independent variable) and parameters of HRV (dependent variable; Figures 3 and 4). To improve the design ofFigures 3 and 4 all data were plotted on a logarithmic axis. A value of p < 0.05 was considered statistically significant. Post hoc analysis of the difference between the individual states and three age groups employed the Mann–Whitney U test. After correction for multiple comparisons (Bonferroni), p < 0.0167 was considered significant for the post hoc analysis. The correlation of fHRV parameters with GA was analyzed by Spearman’s rank correlation.

Bottom Line: SDNN increased over gestation.Changes of HRV parameters between the fetal behavioral states, especially between 1F and 4F, were statistically significant.Increasing fetal activity was confirmed by a decrease in PE complexity measures.

View Article: PubMed Central - PubMed

Affiliation: University Women's Hospital and Research Institute for Women's Health, University of Tuebingen Tuebingen, Germany ; fMEG Center, University of Tuebingen Tuebingen, Germany ; Department of Obstetrics and Gynecology, University of Tuebingen Tuebingen, Germany.

ABSTRACT
Fetal behavioral states are defined by fetal movement and heart rate variability (HRV). At 32 weeks of gestational age (GA) the distinction of four fetal behavioral states represented by combinations of quiet or active sleep or awakeness is possible. Prior to 32 weeks, only periods of fetal activity and quiesence can be distinguished. The increasing synchronization of fetal movement and HRV reflects the development of the autonomic nervous system (ANS) control. Fetal magnetocardiography (fMCG) detects fetal heart activity at high temporal resolution, enabling the calculation of HRV parameters. This study combined the criteria of fetal movement with the HRV analysis to complete the criteria for fetal state detection. HRV parameters were calculated including the standard deviation of the normal-to-normal R-R interval (SDNN), the mean square of successive differences of the R-R intervals (RMSSD, SDNN/RMSSD ratio, and permutation entropy (PE) to gain information about the developing influence of the ANS within each fetal state. In this study, 55 magnetocardiograms from healthy fetuses of 24-41 weeks' GA were recorded for up to 45 min using a fetal biomagnetometer. Fetal states were classified based on HRV and movement detection. HRV parameters were calculated for each state. Before GA 32 weeks, 58.4% quiescence and 41.6% activity cycles were observed. Later, 24% quiet sleep state (1F), 65.4% active sleep state (2F), and 10.6% active awake state (4F) were observed. SDNN increased over gestation. Changes of HRV parameters between the fetal behavioral states, especially between 1F and 4F, were statistically significant. Increasing fetal activity was confirmed by a decrease in PE complexity measures. The fHRV parameters support the differentiation between states and indicate the development of autonomous nervous control of heart rate function.

No MeSH data available.


Related in: MedlinePlus