ArticleDevelopmental cognitive neuroscience2022
Cortical Source Analysis of Event-Related Potentials: A Developmental Approach.
Article in Developmental cognitive neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 17 citations in OpenAlex.
- Atypical neural responses to dynamically changing facial expressions correlate with behavioral risk in toddlers born preterm: Evidence from an ERP study.Neuroimage. Reports · 2026Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Infants' resting-state functional connectivity and event-related potentials: A multimodal approach to investigating the neural basis of infant novelty detection.Developmental psychology · 2025Article
- The development and structure of the HEALthy Brain and Child Development (HBCD) Study EEG protocol.Developmental cognitive neuroscience · 2024Article
- Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability.Brain topography · 2024Article
- Infant neuroscience: how to measure brain activity in the youngest minds.Trends in neurosciences · 2024Review
- Multimodal study of the neural sources of error monitoring in adolescents and adults.Psychophysiology · 2023Article
- Early maturation of sound duration processing in the infant's brain.Scientific reports · 2023Article
- Maximizing the potential of EEG as a developmental neuroscience tool.Developmental cognitive neuroscience · 2023Article
- Neural correlates of inhibitory control and associations with cognitive outcomes in Bangladeshi children exposed to early adversities.Developmental science · 2022Article
- Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism.Brain sciences · 2022Article
- devfOLD: a toolbox for designing age-specific fNIRS channel placement.Neurophotonics · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
Cortical source analysis of electroencephalographic (EEG) signals has become an important tool in the analysis of brain activity. The aim of source analysis is to reconstruct the cortical generators (sources) of the EEG signal recorded on the scalp. The quality of the source reconstruction relies on the accuracy of the forward problem, and consequently the inverse problem. An accurate forward solution is obtained when an appropriate imaging modality (i.e., structural magnetic resonance imaging - MRI) is used to describe the head geometry, precise electrode locations are identified with 3D maps of the sensor positions on the scalp, and realistic conductivity values are determined for each tissue type of the head model. Together these parameters contribute to the definition of realistic head models. Here, we describe the steps necessary to reconstruct the cortical generators of the EEG signal recorded on the scalp. We provide an example of source reconstruction of event-related potentials (ERPs) during a face-processing task performed by a 6-month-old infant. We discuss the adjustments necessary to perform source analysis with measures different from the ERPs. The proposed pipeline can be applied to the investigation of different cognitive tasks in both younger and older participants.
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