Reliability of an automated gaze-controlled paradigm for capturing neural responses during visual and face processing in toddlerhood

Abstract

Electroencephalography (EEG) has substantial potential value for examining individual differences during early development. Current challenges in developmental EEG research include high dropout rates and low trial numbers, which may in part be due to passive stimulus presentation. Comparability is challenged by idiosyncratic processing pipelines. We present a novel toolbox (“Braintools”) that uses gaze-contingent stimulus presentation and an automated processing pipeline suitable for measuring visual processing through low-density EEG recordings in the field. We tested the feasibility of this toolbox in 61 2.5- to 4-year olds, and computed test–retest reliability (1- to 2-week interval) of event-related potentials (ERP) associated with visual (P1) and face processing (N290, P400). Feasibility was good, with 52 toddlers providing some EEG data at the first session. Reliability values for ERP features were moderate when derived from 20 trials; this would allow inclusion of 79% of the 61 toddlers for the P1 and 82% for the N290 and P400. P1 amplitude/latency were more reliable across sessions than for the N290 and P400. Amplitudes were generally more reliable than latencies. Automated and standardized solutions to collection and analysis of event-related EEG data would allow efficient application in large-scale global health studies, opening significant potential for examining individual differences in development.