ArticleJournal of neuroscience methods2016
Effect of electrocardiogram interference on cortico-cortical connectivity analysis and a possible solution.
Article in Journal of neuroscience methods, 2016. 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, 22 citations in OpenAlex.
- Identifying heart rate characteristics of sleep states of preterm infants using video analysis.Scientific reports · 2026Article
- Directional flow of brain connections and neurodevelopmental outcomes in healthy full-term newborns.Neuroscience letters · 2025Article
- Identifying Heart Rate Characteristics of Sleep States of Preterm Infants Using Video Analysis.Research square · 2025Article
- Asymmetry of Directed Brain Connectivity at Birth in Low-Risk Full-Term Newborns.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2024Article
- Exploring Computational Techniques in Preprocessing Neonatal Physiological Signals for Detecting Adverse Outcomes: Scoping Review.Interactive journal of medical research · 2024Article
- Brainstem and Deep Gray Nuclei Modulate Brain Network Efficiency in Low-risk Term Newborns.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Association of brain functional connectivity with neurodevelopmental outcomes in healthy full-term newborns.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- Functional brain network properties of healthy full-term newborns quantified by scalp and source-reconstructed EEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Electroencephalogram in low-risk term newborns predicts neurodevelopmental metrics at age two years.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022Article
- Frequency-Based Maternal Electrocardiogram Attenuation for Fetal Electrocardiogram Analysis.Annals of biomedical engineering · 2022Article
- Expert consensus on minimum technical standards for neonatal electroencephalography operation and report writing.Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2022Article
- Global and intertuberal epileptic networks in tuberous sclerosis based on stereoelectroencephalographic (sEEG) findings: a quantitative EEG analysis in pediatric subjects and surgical implications.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2022Article
- Automated Detection and Removal of Cardiac and Pulse Interferences from Neonatal EEG Signals.Sensors (Basel, Switzerland) · 2021Article
- EEG Spectral Power: A Proposed Physiological Biomarker to Classify the Hypoxic-Ischemic Encephalopathy Severity in Real Time.Pediatric neurology · 2021Article
- Cerebral cortical autonomic connectivity in low-risk term newborns.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2021Article
- Prognostic Value of Continuous Electroencephalogram Delta Power in Neonates With Hypoxic-Ischemic Encephalopathy.Journal of child neurology · 2020Article
- The effect of labor and delivery mode on electrocortical and brainstem autonomic function during neonatal transition.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundElectroencephalogram (EEG) signals are often contaminated by the electrocardiogram (ECG) interference, which affects quantitative characterization of EEG. NEW
methodWe propose null-coherence, a frequency-based approach, to attenuate the ECG interference in EEG using simultaneously recorded ECG as a reference signal. After validating the proposed approach using numerically simulated data, we apply this approach to EEG recorded from six newborns receiving therapeutic hypothermia for neonatal encephalopathy. We compare our approach with an independent component analysis (ICA), a previously proposed approach to attenuate ECG artifacts in the EEG signal. The power spectrum and the cortico-cortical connectivity of the ECG attenuated EEG was compared against the power spectrum and the cortico-cortical connectivity of the raw EEG.
resultsThe null-coherence approach attenuated the ECG contamination without leaving any residual of the ECG in the EEG. COMPARISON WITH EXISTING
methodWe show that the null-coherence approach performs better than ICA in attenuating the ECG contamination without enhancing cortico-cortical connectivity.
conclusionOur analysis suggests that using ICA to remove ECG contamination from the EEG suffers from redistribution problems, whereas the null-coherence approach does not. We show that both the null-coherence and ICA approaches attenuate the ECG contamination. However, the EEG obtained after ICA cleaning displayed higher cortico-cortical connectivity compared with that obtained using the null-coherence approach. This suggests that null-coherence is superior to ICA in attenuating the ECG interference in EEG for cortico-cortical connectivity analysis.
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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.