Technical feasibility of multimodal imaging in neonatal hypoxic-ischemic encephalopathy from an ovine model to a human case series

• DOI: 10.3389/fped.2023.1072663
• Publication Date: 2023-06-23T10:33:21Z
• Authors: Brian Hagan; Radhika Mujumdar; Jagdish P. Sahoo; Abhijit Das; Anirban Dutta
• Keywords: Hypoxic-Ischemic Encephalopathy; Perinatal asphyxia

Hypoxic-ischemic encephalopathy (HIE) secondary to perinatal asphyxia occurs when the brain does not receive enough oxygen and blood. A surrogate marker for "intact survival" is necessary successful management of HIE. The severity HIE can be classified based on clinical presentation, including presence seizures, using a classification scale called Sarnat staging; however, staging subjective, score changes over time. Furthermore, seizures are difficult detect clinically associated with poor prognosis. Therefore, tool continuous monitoring cot side necessary, example, an electroencephalogram (EEG) that noninvasively measures electrical activity from scalp. Then, multimodal imaging, combined functional near-infrared spectroscopy (fNIRS), capture neurovascular coupling (NVC) status. In this study, we first tested feasibility low-cost EEG-fNIRS imaging system differentiate between normal, hypoxic, ictal states in ovine hypoxia model. Here, objective was evaluate portable cot-side device perform autoregressive extra input (ARX) modeling during simulated injury. So, ARX parameters were linear classifier single differential channel EEG, varying tissue oxygenation detected fNIRS, label showed technical support vector machine human case series without sepsis. trained data labeled ten severe cases (with sepsis) as "hypoxia" group four moderate "control" group. experimental modal analysis (EMA) model investigate NVC dynamics joint-imaging differentiated six sepsis conclusion, our study classification, EMA may provide biomarker effects