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November 14, 2025Clinical NeurophysiologyOpen Access

Automated estimation of EEG maturity in preterm neonates and its association with long-term outcome

Johannes Mader Manfred Hartmann Katrin Klebermass-Schrehof Tobias Werther Anastasia Dressler Lisa Oberdorfer Nadine Pointner Renate Fuiko Angelika Berger Tilmann Kluge Vito Giordano

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Key Points

To evaluate the effectiveness of automated EEG maturity estimation in predicting long-term outcomes for preterm neonates.
Utilized automated EEG analysis for estimating maturity
Assessed neurodevelopmental outcomes over an extended period
Analyzed the association between EEG maturity and long-term developmental risks
Demonstrated that EEG maturity serves as a real-time biomarker
Showed a significant association between EEG maturity and long-term outcomes in preterm neonates

Implication

Automated EEG maturity tracking indicates neurodevelopmental risk in preterm neonates, suggesting potential for early intervention.

Abstract

This study demonstrates the clinical potential of automated EEG maturity tracking using EEG as a real-time biomarker for neurodevelopmental risk.

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Cite This Study

Mader et al. (2025) studied this question.

synapsesocial.com/papers/69251994c0ce034ddc3538d9 https://doi.org/10.1016/j.clinph.2025.2111432

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