Objective: Children with rolandic spikes may or may not have seizures, ranging from benign rolandic epilepsy to severe atypical rolandic epilepsy. We investigated whether ripples (80-250 Hz), superimposed on rolandic spikes in surface electroencephalography (EEG), can differentiate between different entities.
Methods: In this cohort study we analyzed the EEG studies of children with rolandic spikes without other EEG or magnetic resonance imaging (MRI) abnormalities. They were divided into the following three groups: (1) rolandic spikes but no epilepsy, (2) typical rolandic epilepsy, and (3) atypical and symptomatic rolandic epilepsy. Ripples superimposed on rolandic spikes were marked in 10 minutes of EEG, and compared to the number of seizures before the EEG. Receiver operating characteristic (ROC) curves were constructed to determine the predictive value of ripples and spikes for having epilepsy (groups 2 and 3) and for differentiating benign courses (groups 1 or 2) from atypical and symptomatic epilepsy (group 3). Ripples were also marked in the time frequency spectrum of averaged rolandic spikes.
Results: Ripples were found in 13 of 22 children. Children without epilepsy showed no ripples, except for a single child with only one ripple. The number of ripples showed a significant positive correlation with the number of seizures (ρ = 0.70, p = 0.001), whereas spikes had a borderline significant correlation (ρ = 0.43, p = 0.05). Presence of more than two ripples was a predictor for having seizures (area under the curve [AUC] 0.84), whereas spikes could not predict having seizures (AUC 0.53). More than five ripples predicted the difference between benign courses and atypical and symptomatic epilepsy (AUC 0.91, sensitivity 63%, specificity 100%). Ripples in the time frequency spectra appeared in all children and were not related to seizures.
Significance: Absence of ripples on top of rolandic spikes predicts a relative benign clinical entity, whereas in the presence of several ripples, the child is likely to have more seizures than classical rolandic epilepsy, and pharmacologic treatment might be needed.
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http://dx.doi.org/10.1111/epi.13423 | DOI Listing |
Neurology
January 2025
Department of Neurology, Massachusetts General Hospital, Boston.
Background And Objectives: Rolandic epilepsy (RE), the most common childhood focal epilepsy syndrome, is characterized by a transient period of sleep-activated epileptiform activity in the centrotemporal regions and variable cognitive deficits. Sleep spindles are prominent thalamocortical brain oscillations during sleep that have been mechanistically linked to sleep-dependent memory consolidation in animal models and healthy controls. Sleep spindles are decreased in RE and related sleep-activated epileptic encephalopathies.
View Article and Find Full Text PDFEpilepsy Behav
December 2024
Department of Neurology, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029 Jiangsu, China. Electronic address:
Introduction: Our aim was to use magnetoencephalography (MEG) and clinical features to early identify self-limited epilepsy with centrotemporal spikes (SeLECTS) patients who evolve into atypical SeLECTS (AS).
Methods: The baseline clinical and MEG data of 28 AS and 33 typical SeLECTS (TS) patients were collected. Based on the triple-network model, MEG analysis included power spectral density representing spectral power and corrected amplitude envelope correlation representing functional connectivity (FC).
Seizure
November 2024
Muir Maxwell Epilepsy Centre, Centre for Clinical Brain Sciences and MRC Centre for Inflammation Research, The University of Edinburgh, Edinburgh, UK; Neurosciences Unit, Royal Hospital for Children and Young People, Edinburgh, UK. Electronic address:
Background And Objective: Information on self-limited epilepsy with centrotemporal spikes (SeLECTS) epidemiology is limited. We aimed to determine the incidence of SeLECTS in children, its association with socioeconomic deprivation and the prevalence of neurodevelopmental comorbidities.
Method: We performed a retrospective cohort study (2004-2017) using anonymised, linked, routinely collected, primary care and demographic data for children in Wales.
J Clin Neurosci
November 2024
Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China. Electronic address:
Objective: This study aims to explore differences in the static and dynamic amplitude of low-frequency fluctuations (sALFF and dALFF) in resting-state functional MRI (rs-fMRI) data between patients with Benign childhood epilepsy with centrotemporal spikes (SeLECTS) and healthy controls (HCs).
Materials And Methods: We recruited 45 patient with SeLECTS and 55 HCs, employing rs-fMRI to assess brain activity. The analysis utilized a two-sample t-test for primary comparisons, supplemented by stratification and matching based on clinical and demographic characteristics to ensure comparability between groups.
Prog Neuropsychopharmacol Biol Psychiatry
December 2024
Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China. Electronic address:
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