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ABSTRACT: Background
Independent Component Analysis (ICA) is a well-established approach to clean EEG and remove the impact of signals of non-neural origin, such as those from muscular activity and eye movements. However, evidence suggests that ICA removes artifacts less effectively in infants than in adults. This study systematically compares ICA and Artifact Blocking (AB), an alternative approach proposed to improve eye-movement artifact correction in infant EEG.Methods
We analyzed EEG collected from 50 infants between 6 and 18 months of age as part of the International Infant EEG Data Integration Platform (EEG-IP), a longitudinal multi-study dataset. EEG was recorded while infants sat on their caregivers' laps and watched videos. We used ICA and AB to correct for eye-movement arti
SUBMITTER: Srishyla D
PROVIDER: S-EPMC12753043 | biostudies-literature | 2025 Jun
REPOSITORIES: biostudies-literature