Developmental EEG: Advances on Data Analysis Methods
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 1758
Special Issue Editor
Interests: EEG/MEG data analysis; developmental EEG artifact correction; frequency-tagging analysis; scale-free analysis; wearable wireless EEG for infants; developmental cognitive neuroscience
Special Issue Information
Dear Colleagues,
Electroencephalography (EEG) is a valuable methodology for investigating human brain development from birth because it provides a direct measure of brain activity, it is relatively inexpensive and it is easy to use on subjects of any age, starting from the very first days of life. EEG applications on developmental populations span from clinical monitoring and diagnosis at the bedside to basic research on the neural predispositions and development of core perceptual, cognitive and motor functions. However, measuring reliable brain responses in infants is challenging because of widespread non-stereotypical artifacts and (in case of stimulus-related paradigms) reduced data statistics due to their very limited attentional span.
The aim of this Special Issue is to promote cutting-edge innovative methods focused on the challenges of developmental EEG data analysis. To foster reliability and reproducibility in this emerging field, we encourage authors to explicitly highlight three key aspects of their proposed methods: 1) the novelty and added value of their method compared to the state of the art; 2) generalization: the method should be validated on an independent dataset; 3) performance: validation should include a quantitative comparison with state-of-the-art methods tackling the same problem. Public sharing of code for the community is highly appreciated. Reviews and well-motivated opinion papers are also welcome.
Topics of interest include (but are not limited to) the following:
- Artifact detection and correction/removal in developmental EEG;
- Resting-state measures in developmental EEG;
- Clinical assessment of pediatric EEG;
- Innovative methods or improvements of existing methods for developmental EEG data analysis in stimulus-related paradigms (event-related potentials, time-frequency analysis, frequency-tagging, etc.);
- Source localization and functional connectivity analysis of developmental EEG;
- EEG-based biomarkers of neurodevelopmental disorders.
Dr. Marco Buiatti
Guest Editor
Manuscript Submission Information
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