Novel Wavelet Real Time Analysis of Neurovascular Coupling in Neonatal Encephalopathy

Overview

Journal Sci Rep

Specialty Science

Date 2017 Apr 11

PMID 28393884

Citations 28

Authors

Lina F Chalak

Fenghua Tian

Beverley Adams-Huet

Diana Vasil

Abbot Laptook

Takashi Tarumi

Rong Zhang

Affiliations

Soon will be listed here.

Abstract

Birth asphyxia constitutes a major global public health burden for millions of infants, despite hypothermia therapy. There is a critical need for real time surrogate markers of therapeutic success, to aid in patient selection and/or modification of interventions in neonatal encephalopathy (NE). This is a proof of concept study aiming to quantify neurovascular coupling (NVC) using wavelet analysis of the dynamic coherence between amplitude-integrated electroencephalography (aEEG) and near-infrared spectroscopy in NE. NVC coupling is assessed by a wavelet metric estimation of percent time of coherence between NIRS SO and aEEG for 78 hours after birth. An abnormal outcome was predefined by a Bayley III score <85 by 18-24 m. We observed high coherence, intact NVC, between the oscillations of SO and aEEG in the frequency range of 0.00025-0.001 Hz in the non-encephalopathic newborns. NVC coherence was significantly decreased in encephalopathic newborns who were cooled vs. non-encephalopathic controls (median IQR 3[2-9] vs.36 [33-39]; p < 0.01), and was significantly lower in those with abnormal 24 months outcomes relative to those with normal outcomes (median IQR 2[1-3] vs 28[19-26], p = 0.04). Wavelet coherence analysis of neurovascular coupling in NE may identify infants at risk for abnormal outcomes.

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