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Published on: June 27, 2011
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Challenges and new perspectives of developmental cognitive EEG studies
Estelle Hervé1, Giovanni Mento2, Béatrice Desnous3
1CNRS, LPL, Aix-Marseille University, 5 Avenue Pasteur, Aix-en-Provence 13100, France.
Neuroimage
|July 26, 2022
Summary
This study reviews electroencephalography (EEG) in early development, highlighting challenges like attrition and artifacts. It summarizes key findings and introduces standardized pipelines to improve data quality and research comparability.
Area of Science:
- Neuroscience
- Developmental Psychology
- Biomedical Engineering
Background:
- Electroencephalography (EEG) is crucial for studying cognitive development.
- Early developmental EEG presents unique challenges compared to adult studies.
- Ensuring high-quality data collection in young participants is essential.
Purpose of the Study:
- To provide an overview of early cognitive developmental EEG studies.
- To focus on specific challenges in pediatric EEG, including attrition and artifacts.
- To summarize key findings and introduce standardized methods for improved research.
Main Methods:
- Review of representative early cognitive developmental EEG studies.
- Analysis of data in time and time-frequency domains.
- Application of advanced signal processing techniques.
- Introduction of recent standardized EEG pipelines.
Main Results:
- Identified specific challenges in pediatric EEG data collection.
- Summarized representative findings from developmental EEG research.
- Highlighted the utility of advanced signal processing.
- Introduced standardized pipelines for enhanced replicability.
Conclusions:
- Robust cognitive developmental EEG studies require addressing specific challenges.
- Standardized pipelines are emerging to improve data comparability across studies and ages.
- This overview offers solutions for conducting reliable developmental EEG research.

