ArticleDevelopmental cognitive neuroscience2021
Neural tracking in infants - An analytical tool for multisensory social processing in development.
Article in Developmental cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Linguistic information may compensate for age-related decline in attentional filtering.Communications biology · 2026Article
- Human newborns form musical predictions based on rhythmic but not melodic structure.PLoS biology · 2026Article
- Attentional Engagement with Target and Distractor Streams Predicts Speech Comprehension in Multitalker Environments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- A developmental framework of interpersonal neural synchrony.Developmental review : DR · 2025Article
- Utilizing functional neuroimaging to study early language development.Developmental cognitive neuroscience · 2025Review
- Children's cortical speech tracking in face-to-face and online video communication.Scientific reports · 2025Article
- Article
- Effects and prediction of cognitive load on encoding model of brain response to auditory and linguistic stimuli in educational multimedia.Scientific reports · 2024Article
- Phonological acquisition depends on the timing of speech sounds: Deconvolution EEG modeling across the first five years.Science advances · 2023Article
- Early social communication through music: State of the art and future perspectives.Developmental cognitive neuroscience · 2023Review
- Proactive or reactive? Neural oscillatory insight into the leader-follower dynamics of early infant-caregiver interaction.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Maximizing the potential of EEG as a developmental neuroscience tool.Developmental cognitive neuroscience · 2023Article
- The power of rhythms: how steady-state evoked responses reveal early neurocognitive development.NeuroImage · 2022Article
- Oscillatory entrainment to our early social or physical environment and the emergence of volitional control.Developmental cognitive neuroscience · 2022Review
- Studying the Developing Brain in Real-World Contexts: Moving From Castles in the Air to Castles on the Ground.Frontiers in integrative neuroscience · 2022Review
- Neural Entrainment vs. Stimulus-Tracking: A Conceptual Challenge for Rhythmic Perceptual Stimulation in Developmental Neuroscience.Frontiers in psychology · 2022Article
- Cortical Tracking of Sung Speech in Adults vs Infants: A Developmental Analysis.Frontiers in neuroscience · 2022Article
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3 authors.
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Abstract
Humans are born into a social environment and from early on possess a range of abilities to detect and respond to social cues. In the past decade, there has been a rapidly increasing interest in investigating the neural responses underlying such early social processes under naturalistic conditions. However, the investigation of neural responses to continuous dynamic input poses the challenge of how to link neural responses back to continuous sensory input. In the present tutorial, we provide a step-by-step introduction to one approach to tackle this issue, namely the use of linear models to investigate neural tracking responses in electroencephalographic (EEG) data. While neural tracking has gained increasing popularity in adult cognitive neuroscience over the past decade, its application to infant EEG is still rare and comes with its own challenges. After introducing the concept of neural tracking, we discuss and compare the use of forward vs. backward models and individual vs. generic models using an example data set of infant EEG data. Each section comprises a theoretical introduction as well as a concrete example using MATLAB code. We argue that neural tracking provides a promising way to investigate early (social) processing in an ecologically valid setting.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.