Rigor of Neurovascular Coupling (NVC) Assessment in Newborns Using Different Amplitude EEG Algorithms.

Scientific Reports
Yudhajit DasLina F Chalak

Abstract

Birth asphyxia constitutes a major global public health burden for millions of infants with a critical need for real time physiological biomarkers. This proof of concept study targets the translational rigor of such biomarkers and aims to examine whether the variability in the amplitude-integrated EEG (aEEG) outputs impact the determination of neurovascular coupling (NVC) in newborns with encephalopathy. A convenience sample with neonatal asphyxia were monitored for twenty hours in the first day of life with EEG and near infrared spectroscopy (NIRS)-based cerebral tissue oxygen saturation (SctO2). NVC between aEEG and NIRS-SctO2 was assessed using wavelet transform coherence (WTC) analysis, specifically by the wavelet total pixel number of significant coherences within 95% confidence interval. The raw EEG was converted to aEEG using three different methods: Method (M1) derives from the algorithm by Zhang and Ding. Method (M2) uses a Neonatal EEG Analysis Toolbox (WU-NEAT). Method (M3) extracts output directly from a commercial platform with an undisclosed algorithm. Our results demonstrate excellent agreement with Bland Altman comparisons for WTC-based NVC irrespective of the algorithms used, despite significant heterogeneities...Continue Reading

References

Jan 1, 1995·Archives of Disease in Childhood. Fetal and Neonatal Edition·L Hellström-WestasN W Svenningsen
Apr 23, 2005·Archives of Disease in Childhood. Fetal and Neonatal Edition·L S de Vries, L Hellström-Westas
Sep 9, 2006·Seminars in Fetal & Neonatal Medicine·Gorm Greisen
Apr 11, 2017·Scientific Reports·Lina F ChalakRong Zhang
Sep 20, 2017·Neonatology·Tobias WertherNathan Stevenson

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Citations

Jul 27, 2021·Journal of Healthcare Engineering·Junjun ChenDianrong Wang

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Methods Mentioned

BETA
infrared spectroscopy

Software Mentioned

NEAT
MATLAB
CNS Monitor
WU
CNS Reader
CNS Monitor / Reader
Neonatal EEG Analysis Toolbox ( WU
- NEAT )

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