ArticleEpilepsy research2021
Automated preprocessing and phase-amplitude coupling analysis of scalp EEG discriminates infantile spasms from controls during wakefulness.
Article in Epilepsy research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Acute and chronic dosing of the GABA A alpha 2,3 selective agonist BAER-101 do not alter behavior but may impact auditory-evoked EEG responses in adults with fragile X syndrome.Scientific reports · 2026Trial
- Prediction of treatment response in infantile epileptic spasms syndrome using EEG phase-amplitude coupling.Epilepsia open · 2026Article
- Artificial intelligence-assisted detection of epileptic spasms using electroencephalographic-video analysis.Epilepsia · 2026Article
- Suppressing Non-Stationary Motion Artefacts in Mobile EEG Using Generalized Eigenvalue Decomposition.Sensors (Basel, Switzerland) · 2026Article
- Hyper-extralemniscal model of Fragile X syndrome.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Computational EEG attributes predict response to therapy for epileptic spasms.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- Epileptic spasms relapse is associated with response latency but not conventional attributes of post-treatment EEG.Epilepsia open · 2024Article
- EEG band power and phase-amplitude coupling in patients with Dravet syndrome.Annals of the Child Neurology Society · 2024Article
- Artifact subspace reconstruction: a candidate for a dream solution for EEG studies, sleep or awake.Sleep · 2023Article
- Integration of multiscale entropy and BASED scale of electroencephalography after adrenocorticotropic hormone therapy predict relapse of infantile spasms.World journal of pediatrics : WJP · 2022Article
- EEG biomarkers for the diagnosis and treatment of infantile spasms.Frontiers in neurology · 2022Review
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
objectiveDelta-gamma phase-amplitude coupling in EEG is useful for localizing epileptic sources and to evaluate severity in children with infantile spasms. We (1) develop an automated EEG preprocessing pipeline to clean data using artifact subspace reconstruction (ASR) and independent component (IC) analysis (ICA) and (2) evaluate delta-gamma modulation index (MI) as a method to distinguish children with epileptic spasms (cases) from normal controls during sleep and awake.
methodsUsing 400 scalp EEG datasets (200 sleep, 200 awake) from 100 subjects, we calculated MI after applying high-pass and line-noise filters (Clean 0), and after ASR followed by either conservative (Clean 1) or stringent (Clean 2) artifactual IC rejection. Classification of cases and controls using MI was evaluated with Receiver Operating Characteristics (ROC) to obtain area under curve (AUC).
resultsThe artifact rejection algorithm reduced raw signal variance by 29-45% and 38-60% for Clean 1 and Clean 2, respectively. MI derived from sleep data, with or without preprocessing, robustly classified the groups (all AUC > 0.98). In contrast, group classification using MI derived from awake data was successful only after Clean 2 (AUC = 0.85).
conclusionsWe have developed an automated EEG preprocessing pipeline to perform artifact rejection and quantify delta-gamma modulation index.
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