Impact of neonatal hyperbilirubinemia on peripheral neuromuscular development: evidence from muscle fiber conduction velocity measurements

Neonatal hyperbilirubinemia may alter peripheral neuromuscular maturation. sEMG-based MFCV estimation may serve as a potential sensitive and noninvasive electrophysiological biomarker for detecting bilirubin-related neuromuscular impairment in early infancy.

Authors

Institutions

Publication Details

Journal
Frontiers in Pediatrics
Published
2026-01-06
DOI
https://doi.org/10.3389/fped.2025.1691272
Primary Topic
Infant Development and Preterm Care
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of neonatal hyperbilirubinemia on peripheral neuromuscular development: evidence from muscle fiber conduction velocity measurements

Tieyan Wang, Wenkai Zhao, Kun Wang, Ling Song et al.
Frontiers in Pediatrics
Infant Development and Preterm Care
article

Impact of neonatal hyperbilirubinemia on peripheral neuromuscular development: evidence from muscle fiber conduction velocity measurements

Tieyan Wang, Wenkai Zhao, Kun Wang, Ling Song, Qiuyue Kou, Yeying Feng
article en

Abstract

Neonatal hyperbilirubinemia may alter peripheral neuromuscular maturation. sEMG-based MFCV estimation may serve as a potential sensitive and noninvasive electrophysiological biomarker for detecting bilirubin-related neuromuscular impairment in early infancy.

Frontiers in PediatricsVol. 13
Qiqihar Medical University (CN)
Openalex Percentile: Top 96%
Infant Development and Preterm Care
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.