Page Last Updated: October 10, 2025

Video Resting State Task🔗

Required Reading: Overview & EEG Protocols & Quality Control Procedures

The Video Resting State Task (RS) (v.11.29.23) provides assessment of the development of large-scale neural networks during infancy and early childhood via information about neural oscillations measured in EEG power across the scalp. Developmental changes in oscillatory activity reflect underlying developing large-scale neural networks associated with early self-regulatory, cognitive, and affective processes and developmental outcomes (Gabard-Durnam et al., 2019; Jones et al., 2020; Whedon et al., 2020). The metrics derived from the resting EEG signal include power across the frequency spectrum (Gabard-Durnam et al., 2019) and relative power between different scalp locations (Davidson & Fox, 1982).

Task Details🔗

Participants watch a silent video for the duration of the RS task. In V03 (left set of images below), the video displays a variety of colorful and abstract toys and other visuals. In V04 & V06 (right set of images below), the video includes a variety of marble run and construction visuals.

References🔗

Davidson, R. J., & Fox, N. A. (1982). Asymmetrical Brain Activity Discriminates Between Positive and Negative Affective Stimuli in Human Infants. Science, 218(4578), 1235–1237. https://doi.org/10.1126/science.7146906

Fox, N. A., Pérez-Edgar, K., Morales, S., Brito, N. H., Campbell, A. M., Cavanagh, J. F., Gabard-Durnam, L. J., Hudac, C. M., Key, A. P., Larson-Prior, L. J., Pedapati, E. V., Norton, E. S., Reetzke, R., Roberts, T. P., Rutter, T. M., Scott, L. S., Shuffrey, L. C., Antúnez, M., Boylan, M. R., … Yoder, L. (2024). The development and structure of the Healthy Brain and Child Development (HBCD) study EEG Protocol. Developmental Cognitive Neuroscience, 69, 101447. https://doi.org/10.1016/j.dcn.2024.101447

Gabard-Durnam, L. J., Wilkinson, C., Kapur, K., Tager-Flusberg, H., Levin, A. R., & Nelson, C. A. (2019). Longitudinal EEG power in the first postnatal year differentiates autism outcomes. Nature Communications, 10(1), Article 1. https://doi.org/10.1038/s41467-019-12202-9

Jones, E. J. H., Goodwin, A., Orekhova, E., Charman, T., Dawson, G., Webb, S. J., & Johnson, M. H. (2020). Infant EEG theta modulation predicts childhood intelligence. Scientific Reports, 10(1), 11232. https://doi.org/10.1038/s41598-020-67687-y

Whedon, M., Perry, N. B., & Bell, M. A. (2020). Relations between frontal EEG maturation and inhibitory control in preschool in the prediction of children’s early academic skills. Brain and Cognition, 145, 105636. https://doi.org/10.1016/j.bandc.2020.105636