Abstract

.Significance: There is an emerging need for convenient and continuous bedside monitoring of full-term newborns with hypoxic-ischemic brain damage (HIBD) to determine whether early intervention is required. Functional near-infrared spectroscopy (fNIRS)-based resting-state brain network analysis, which could provide an effective evaluation method, remains to be extensively studied.Aim: Our study aims to verify the feasibility of fNIRS-based resting-state brain networks for evaluating brain function in infants with HIBD to provide a new and effective means for clinical research in neonatal HIBD.Approach: Thirteen neonates with HIBD were scanned using fNIRS in the resting state. The brain network properties were explored to attempt to extract effective features as recognition indicators.Results: Compared with healthy controls, newborns with HIBD showed decreased brain functional connectivity. Specifically, there were severe losses of long-range functional connectivity of the contralateral parietal-temporal lobe, contralateral parietal-frontal lobe, and contralateral parietal lobe. The node degree showed a widespread decrease in the left frontal middle gyrus, left superior frontal gyrus dorsal, and right central posterior gyrus. However, newborns with HIBD showed a significantly higher local network efficiency (*). Subsequently, network indicators based on small-worldness, local efficiency, modularity, and normalized clustering coefficient were extracted for HIBD identification with the accuracy observed as 79.17%.Conclusions: Our findings indicate that fNIRS-based resting-state brain network analysis could support early HIBD diagnosis.

Highlights

  • Hypoxic-ischemic brain damage (HIBD) is among the leading causes of neonatal death and neurological disorders.[1]

  • Typical neurological symptoms of HIBD deteriorate within a few days after birth; continuous monitoring and effective evaluation of brain function in these children could help determine whether targeted intervention is necessary and allow for decisive disease diagnosis and treatment.[5]

  • These include clinical characterization, which refers to abnormal changes in consciousness, original reflection, and muscle tension,[6] as well as detection of HIBDinduced lesions using ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and other medical imaging technologies

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Summary

Introduction

Hypoxic-ischemic brain damage (HIBD) is among the leading causes of neonatal death and neurological disorders.[1]. The clinical HIBD diagnosis mainly relies on two aspects These include clinical characterization, which refers to abnormal changes in consciousness, original reflection (there are some congenital reflexes in newborns, which reflect whether the body and nervous system function of the newborn is normal), and muscle tension,[6] as well as detection of HIBDinduced lesions using ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and other medical imaging technologies. These classical technologies have their own advantages and limitations. It would be a positive effort to satisfy the need by functional near-infrared spectroscopy (fNIRS) resting-state brain network analysis

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