ArticleNeuroImage2019
Integrating high-density ERP and fMRI measures of face-elicited brain activity in 9-12-year-old children: An ERP source localization study.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The development and structure of the HEALthy Brain and Child Development (HBCD) Study EEG protocol.Developmental cognitive neuroscience · 2024Article
- Annual Research Review: Developmental pathways linking early behavioral inhibition to later anxiety.Journal of child psychology and psychiatry, and allied disciplines · 2023Review
- A neurophysiological signature of dynamic emotion recognition associated with social communication skills and cortical gamma-aminobutyric acid levels in children.Frontiers in neuroscience · 2023Article
- Spectral parameterization for studying neurodevelopment: How and why.Developmental cognitive neuroscience · 2022Article
- Early alterations of cortical thickness and gyrification in migraine without aura: a retrospective MRI study in pediatric patients.The journal of headache and pain · 2021Article
- Conducting Event-Related Potential (ERP) Research with Young Children: A Review of Components, Special Considerations and Recommendations for Research on Cognition and Emotion.Journal of psychophysiology · 2020Article
- Attentional processes in typically developing children as revealed using brain event-related potentials and their source localization in Attention Network Test.Scientific reports · 2019Article
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Authors and funding
3 authors.
Funding
Abstract
Social information processing is a critical mechanism underlying children's socio-emotional development. Central to this process are patterns of activation associated with one of our most salient socioemotional cues, the face. In this study, we obtained fMRI activation and high-density ERP source data evoked by parallel face dot-probe tasks from 9-to-12-year-old children. We then integrated the two modalities of data to explore the neural spatial-temporal dynamics of children's face processing. Our results showed that the tomography of the ERP sources broadly corresponded with the fMRI activation evoked by the same facial stimuli. Further, we combined complementary information from fMRI and ERP by defining fMRI activation as functional ROIs and applying them to the ERP source data. Indices of ERP source activity were extracted from these ROIs at three a priori ERP peak latencies critical for face processing. We found distinct temporal patterns among the three time points across ROIs. The observed spatial-temporal profiles converge with a dual-system neural network model for face processing: a core system (including the occipito-temporal and parietal ROIs) supports the early visual analysis of facial features, and an extended system (including the paracentral, limbic, and prefrontal ROIs) processes the socio-emotional meaning gleaned and relayed by the core system. Our results for the first time illustrate the spatial validity of high-density source localization of ERP dot-probe data in children. By directly combining the two modalities of data, our findings provide a novel approach to understanding the spatial-temporal dynamics of face processing. This approach can be applied in future research to investigate different research questions in various study populations.
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