EEG‐based spatiotemporal dynamics of fast ripple networks and hubs in infantile epileptic spasms

Author:

Samfira Ioana M. A.1ORCID,Galanopoulou Aristea S.234ORCID,Nariai Hiroki5ORCID,Gursky Jonathan M.2,Moshé Solomon L.2346ORCID,Bardakjian Berj L.17

Affiliation:

1. Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto Ontario Canada

2. Saul R. Korey Department of Neurology and Comprehensive Einstein/Montefiore Epilepsy Center Albert Einstein College of Medicine Bronx New York USA

3. Isabelle Rapin Division of Child Neurology Albert Einstein College of Medicine Bronx New York USA

4. Dominick P. Purpura Department of Neuroscience Albert Einstein College of Medicine Bronx New York USA

5. Department of Pediatrics UCLA Mattel Children's Hospital Los Angeles California USA

6. Department of Pediatrics Einstein College of Medicine Bronx New York USA

7. Institute of Biomedical Engineering University of Toronto Toronto Ontario Canada

Abstract

AbstractObjectiveInfantile epileptic spasms (IS) are epileptic seizures that are associated with increased risk for developmental impairments, adult epilepsies, and mortality. Here, we investigated coherence‐based network dynamics in scalp EEG of infants with IS to identify frequency‐dependent networks associated with spasms. We hypothesized that there is a network of increased fast ripple connectivity during the electrographic onset of clinical spasms, which is distinct from controls.MethodsWe retrospectively analyzed peri‐ictal and interictal EEG recordings of 14 IS patients. The data was compared with 9 age‐matched controls. Wavelet phase coherence (WPC) was computed between 0.2 and 400 Hz. Frequency‐ and time‐dependent brain networks were constructed using this coherence as the strength of connection between two EEG channels, based on graph theory principles. Connectivity was evaluated through global efficiency (GE) and channel‐based closeness centrality (CC), over frequency and time.ResultsGE in the fast ripple band (251–400 Hz) was significantly greater following the onset of spasms in all patients (P < 0.05). Fast ripple networks during the first 10s from spasm onset show enhanced anteroposterior gradient in connectivity (posterior > central > anterior, Kruskal‐Wallis P < 0.001), with maximum CC over the centroparietal channels in 10/14 patients. Additionally, this anteroposterior gradient in CC connectivity is observed during spasms but not during the interictal awake or asleep states of infants with IS. In controls, anteroposterior gradient in fast ripple CC was noted during arousals and wakefulness but not during sleep. There was also a simultaneous decrease in GE in the 5–8 Hz range after the onset of spasms (P < 0.05), of unclear biological significance.SignificanceWe identified an anteroposterior gradient in the CC connectivity of fast ripple hubs during spasms. This anteroposterior gradient observed during spasms is similar to the anteroposterior gradient in the CC connectivity observed in wakefulness or arousals in controls, suggesting that this state change is related to arousal networks.

Funder

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

National Institute of Child Health and Human Development

National Institute of Neurological Disorders and Stroke

U.S. Department of Defense

Publisher

Wiley

Subject

Neurology (clinical),Neurology

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