ArticleScientific reports2020
Using multiple short epochs optimises the stability of infant EEG connectivity parameters.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- EEG CONNECT: A proposed reporting checklist for EEG-based connectivity studies in clinical epilepsy research.Epilepsia open · 2026Review
- Rationale and Methods for the Prospective Genetic Risk Evaluation and Assessment (PROGRESS) in Autism Center at Columbia University.Pediatric research · 2026Article
- Alterations in Early Alpha-band Connectivity emerge in Infancy among children later diagnosed with Autism.medRxiv : the preprint server for health sciences · 2026Article
- Functional connectivity in infants' visual cortex and its links to motion processing and autism.Scientific reports · 2026Article
- ESENA: A Novel Spatiotemporal Event Network Information Approach for Mining Scalp EEG Data.Brain and behavior · 2025Article
- Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability.Brain topography · 2024Article
- Multiplex dynamic networks in the newborn brain disclose latent links with neurobehavioral phenotypes.Human brain mapping · 2024Article
- EEG functional connectivity in infants at elevated familial likelihood for autism spectrum disorder.Molecular autism · 2023Article
- Stability, change, and reliable individual differences in electroencephalography measures: A lifespan perspective on progress and opportunities.NeuroImage · 2023Review
- Do we really measure what we think we are measuring?iScience · 2023Article
- Electrophysiological network predicts clinical response to vigabatrin in epileptic spasms.Frontiers in neurology · 2023Article
- Modulation of EEG theta by naturalistic social content is not altered in infants with family history of autism.Scientific reports · 2022Article
- Evolution of Cortical Functional Networks in Healthy Infants.Frontiers in network physiology · 2022Article
- Brains in Sync: Practical Guideline for Parent-Infant EEG During Natural Interaction.Frontiers in psychology · 2022Review
- Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder.Frontiers in neuroinformatics · 2022Article
- Reliability of an automated gaze-controlled paradigm for capturing neural responses during visual and face processing in toddlerhood.Developmental psychobiology · 2021Article
- Annual Research Review: Anterior Modifiers in the Emergence of Neurodevelopmental Disorders (AMEND)-a systems neuroscience approach to common developmental disorders.Journal of child psychology and psychiatry, and allied disciplines · 2021Review
- Measuring and Modeling the Effect of Audio on Human Focus in Everyday Environments Using Brain-Computer Interface Technology.Frontiers in computational neuroscience · 2021Article
- Early Diagnosis of Brain Injury in Premature Infants Based on Amplitude-Integrated EEG Scoring System.Journal of healthcare engineering · 2021Article
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Authors and funding
5 authors.
Funding
Abstract
Atypicalities in connectivity between brain regions have been implicated in a range of neurocognitive disorders. We require metrics to assess stable individual differences in connectivity in the developing brain, while facing the challenge of limited data quality and quantity. Here, we examine how varying core processing parameters can optimise the test-retest reliability of EEG connectivity measures in infants. EEG was recorded twice with a 1-week interval between sessions in 10-month-olds. EEG alpha connectivity was measured across different epoch lengths and numbers, with the phase lag index (PLI) and debiased weighted PLI (dbWPLI), for both whole-head connectivity and graph theory metrics. We calculated intra-class correlations between sessions for infants with sufficient data for both sessions (N's = 19-41, depending on the segmentation method). Reliability for the whole brain dbWPLI was higher across many short epochs, whereas reliability for the whole brain PLI was higher across fewer long epochs. However, the PLI is confounded by the number of available segments. Reliability was higher for whole brain connectivity than graph theory metrics. Thus, segmenting available data into a high number of short epochs and calculating the dbWPLI is most appropriate for characterising connectivity in populations with limited availability of EEG data.
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Registered trials
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