ArticleDevelopmental cognitive neuroscience2022
A tutorial on the use of temporal principal component analysis in developmental ERP research - Opportunities and challenges.
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 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Characterizing neural indices of cognitive control in young children: A school-based ERP study with naturalistic stimuli.Developmental cognitive neuroscience · 2026Article
- Task-dependent pupillary responses to glossiness and attractiveness judgments.Journal of vision · 2026Article
- Integrating task-state electroencephalography and motor function for intelligent assessment of recovery status from prolonged disorders of consciousness.BMC neurology · 2026Article
- Schizophrenia disrupts normative covariation of neural activity across modalities of perception.Journal of psychopathology and clinical science · 2026Article
- Voluntary Attention Selectively Modulates Omission Responses.Human brain mapping · 2026Article
- The Impact of Action Intention Versus Action-Effect Intention on Auditory Prediction Error Signals.The European journal of neuroscience · 2026Article
- Not All Rules Are Equal: Rare Conditional Rules Shape Behaviour but Yield to Global Probability in Passive Listening.The European journal of neuroscience · 2026Article
- Neural Correlates of Dynamic Predictions and Prediction Errors in Response to Unexpected Silence and Sound.The European journal of neuroscience · 2026Article
- In the Words of Others: ERP Evidence of Speaker-Specific Phonological Prediction.Psychophysiology · 2025Article
- Discrimination and Integration of Phonological Features in Children with Autism Spectrum Disorder: An Exploratory Multi-Feature Oddball Protocol.Brain sciences · 2025Article
- ERP Signals During Speech Articulation: Does Auditory Feedback Mask Other Ongoing Cognitive-motor Processes?Brain topography · 2025Article
- Auditory N1 Suppression and Omission N1 Do Not Share a Common Underlying Mechanism.Psychophysiology · 2025Article
- The readiness potential reflects detailed prediction of action outcome.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Habituation of Central and Electrodermal Responses to an Auditory Two-Stimulus Oddball Paradigm.Sensors (Basel, Switzerland) · 2024Article
- Article
- Explaining Brain-Behavior Relations: Inhibitory Control as an Intermediate Phenotype Between the N2 ERP and the Externalizing Spectrum in Childhood.Research on child and adolescent psychopathology · 2024Article
- Somatosensory omissions reveal action-related predictive processing.Human brain mapping · 2024Article
- The effect of feedback timing on category learning and feedback processing in younger and older adults.Frontiers in aging neuroscience · 2024Article
- The P3 ERP in Relation to General Versus Specific Psychopathology in Early Childhood.Research on child and adolescent psychopathology · 2023Article
- Maximizing the potential of EEG as a developmental neuroscience tool.Developmental cognitive neuroscience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Developmental researchers are often interested in event-related potentials (ERPs). Data-analytic approaches based on the observed ERP suffer from major problems such as arbitrary definition of analysis time windows and regions of interest and the observed ERP being a mixture of latent underlying components. Temporal principal component analysis (PCA) can reduce these problems. However, its application in developmental research comes with the unique challenge that the component structure differs between age groups (so-called measurement non-invariance). Separate PCAs for the groups can cope with this challenge. We demonstrate how to make results from separate PCAs accessible for inferential statistics by re-scaling to original units. This tutorial enables readers with a focus on developmental research to conduct a PCA-based ERP analysis of amplitude differences. We explain the benefits of a PCA-based approach, introduce the PCA model and demonstrate its application to a developmental research question using real-data from a child and an adult group (code and data openly available). Finally, we discuss how to cope with typical challenges during the analysis and name potential limitations such as suboptimal decomposition results, data-driven analysis decisions and latency shifts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.