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Can I read Brain Network Properties of Clinical Versus Subclinical Seizures Among Critically Ill Children on EtoBox?

Brain Network Properties of Clinical Versus Subclinical Seizures Among Critically Ill Children by Laura K. Koster; Rouzbeh Zamyadi; Luowei Yan; Eric T. Payne; Kristin L. McBain; Benjamin T. Dunkley; Cecil D. Hahn is a Neuroscience article available to read on EtoBox.

What is Brain Network Properties of Clinical Versus Subclinical Seizures Among Critically Ill Children about?

Objective Electrographic seizures are common among critically ill children, and have been associated with worse outcomes. Despite their often-widespread cortical representation, most of these seizures remain subclinical, a phenomenon which remains poorly understood. We compared the brain network properties of clinical versus subclinical seizures to gain insight into their relative potential deleterious effects. Methods Functional connectivity (phase lag index) and graph measures (global efficiency and clustering coefficients) were computed for 2178 electrographic seizures recorded during 48-hours of 19-channel continuous EEG monitoring obtained in 20 comatose children. Frequency-specific group differences in clinical versus subclinical seizures were analyzed using a non-parametric ANCOVA, adjusting for age, sex, medication exposure, treatment intensity and seizures per subject. Results Clinical seizures demonstrated greater functional connectivity than subclinical seizures at alpha frequencies, but less connectivity than subclinical seizures at delta frequencies. Clinical seizures also demonstrated significantly higher median global efficiency than subclinical seizures (p < 0.01),

Who reads Brain Network Properties of Clinical Versus Subclinical Seizures Among Critically Ill Children?

It is typically read by researchers, students, and practitioners in Neuroscience.

Author
Laura K. Koster; Rouzbeh Zamyadi; Luowei Yan; Eric T. Payne; Kristin L. McBain; Benjamin T. Dunkley; Cecil D. Hahn
Publisher
Elsevier BV
Published
2023
Language
EN
Field
Neuroscience (Life Sciences)