Advancing the reporting of pediatric EEG data: Tools for estimating reliability, effect size, and data quality metrics

Advancing the reporting of pediatric EEG data: Tools for estimating reliability, effect size, and data quality metrics

EEG studies play a crucial role in enhancing our understanding of brain development across the lifespan. The increasing clinical and policy implications of EEG research underscore the importance of utilizing reliable EEG measures and increasing the reproducibility of EEG studies. However, important...

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Bibliographic Details
Main Authors: Wenyi Xu, Alexa D. Monachino, Sarah A. McCormick, Emma T. Margolis, Ana Sobrino, Cara Bosco, Cassandra J. Franke, Lauren Davel, Michal R. Zieff, Kirsten A. Donald, Laurel J. Gabard-Durnam, Santiago Morales
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Developmental Cognitive Neuroscience
Subjects:
Electroencephalogram (EEG)
Data quality metrics
Event-related potentials (ERPs)
Reliability
Standard Measurement Error (SME)
Effect sizes
Online Access:http://www.sciencedirect.com/science/article/pii/S1878929324001191
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