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High-Frequency Oscillations in Self-Limited Epilepsy With Centrotemporal Spikes: Potential Predictors of Attention Deficit Hyperactivity Disorder?

ArticleAçık Erişim

Özet

Objective: The aim of this study was to examine the possible effect of HFOs detected in children with SeLECTS, who have rolandic spikes with or without ADHD, in predicting cognitive comorbidities with the fully automatic ripple detector program we developed. Methods: A total of 40 patients diagnosed with SeLECTS with at least a 1-year follow-up were included in this study. The patients were divided into two groups: those diagnosed with SeLECTS only and those diagnosed with SeLECTS+ADHD. For ripple detection, EEG data recorded for at least 10 min during non-REM stage 2 sleep with a sampling frequency of 2000 Hz was analysed in the MATLAB environment. After the data in each channel was filtered at 80–200 Hz, ripple detection was made with the fully automatically developed ripple detector program. Results: At least one ripple was detected in 29 of 40 patients (72.5%). The total number of spikes in both groups had a mean of 1435.8 ± 1626.9 (5–6183). The number of spikes in the rolandic region was found to be statistically significantly higher in the SeLECTS+ADHD group (p = 0.042). The total number of ripples in both groups was the mean: 9.5 ± 26.5 (0–158). The highest ripples count was detected in a patient in the SeLECTS+ADHD group; 158 ripples were counted, and the ripple distribution was found to be 33 ripples in the centrotemporal region and 125 ripples in the frontal region. The ripple of number (p = 0.009) and ripple ratio in the ‘Fz-Cz’ electrode were found to be statistically significantly higher in the SeLECTS + ADHD group (p = 0.009, p = 0.019, respectively). Significance: Our study showed that the presence of interictal scalp HFOs has the effect of predicting neurocognitive comorbidities. We think that ripple analysis with the can be used as a potential biomarker to predict neurocognitive comorbidities. © 2025 International Society for Developmental Neuroscience.

Anahtar Kelimeler

attention-deficit hyperactivity disorderchildhigh-frequency oscillationsneurocognitive prognosisprognostic biomarkersself-limited epilepsy with centrotemporal spikesAdolescentAttention Deficit Disorder with HyperactivityBrain WavesElectroencephalographyEpilepsy, RolandicFemaleHumansMalelamotriginelevetiracetamvalproic acidArticleattention deficit hyperactivity disorderbenign rolandic epilepsycentrotemporal regionclinical articlecognitive defectcomorbiditydata analysiselectroencephalogramfollow upfrontal cortexhigh frequency oscillationhuman
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/10919Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1002/jdn.70020Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorKart, Pinar Ozkan
dc.contributor.authorÖzdemir, Cihad
dc.contributor.authorKayikcioglu, Temel
dc.contributor.authorCansu, Ali
dc.date.accessioned2026-10-18T20:26:01.866671116Z
dc.date.available2026-10-18T20:26:01.866671116Z
dc.date.issued2025
dc.description.abstractObjective: The aim of this study was to examine the possible effect of HFOs detected in children with SeLECTS, who have rolandic spikes with or without ADHD, in predicting cognitive comorbidities with the fully automatic ripple detector program we developed. Methods: A total of 40 patients diagnosed with SeLECTS with at least a 1-year follow-up were included in this study. The patients were divided into two groups: those diagnosed with SeLECTS only and those diagnosed with SeLECTS+ADHD. For ripple detection, EEG data recorded for at least 10 min during non-REM stage 2 sleep with a sampling frequency of 2000 Hz was analysed in the MATLAB environment. After the data in each channel was filtered at 80–200 Hz, ripple detection was made with the fully automatically developed ripple detector program. Results: At least one ripple was detected in 29 of 40 patients (72.5%). The total number of spikes in both groups had a mean of 1435.8 ± 1626.9 (5–6183). The number of spikes in the rolandic region was found to be statistically significantly higher in the SeLECTS+ADHD group (p = 0.042). The total number of ripples in both groups was the mean: 9.5 ± 26.5 (0–158). The highest ripples count was detected in a patient in the SeLECTS+ADHD group; 158 ripples were counted, and the ripple distribution was found to be 33 ripples in the centrotemporal region and 125 ripples in the frontal region. The ripple of number (p = 0.009) and ripple ratio in the ‘Fz-Cz’ electrode were found to be statistically significantly higher in the SeLECTS + ADHD group (p = 0.009, p = 0.019, respectively). Significance: Our study showed that the presence of interictal scalp HFOs has the effect of predicting neurocognitive comorbidities. We think that ripple analysis with the can be used as a potential biomarker to predict neurocognitive comorbidities. © 2025 International Society for Developmental Neuroscience.
dc.description.sponsorshipFunding text 1: Funding: The authors received no specific funding for this work. The authors are grateful to the personnel of University Faculty of Medicine Electroencephalogram Laboratories for their assistance.; Funding text 2: This study included a total of 40 patients diagnosed with SeLECTS with at least 1\u2009year of follow\u2010up who were treated at our Karadeniz Technical University Child Neurology outpatient clinic between January 2022 and June 2023. The patients were divided into two groups. In the first group, there were 20 patients aged 6\u201316\u2009years with only a SeLECTS, and in the second group, there were 20 patients aged 6\u201316\u2009years who developed ADHD during follow\u2010up after being diagnosed with SeLECTS. The diagnosis of SeLECTS should have been confirmed both by clinical seizure features and electrophysiological findings by two experienced epileptologists. SeLECTS was diagnosed based on the ILAE criteria: (1) age range for the onset: 3 to 15\u2009years; (2) characteristic symptoms consisting of unilateral facial sensorimotor symptoms, oropharyngolaryngeal symptoms, aphasia, speech pause/impairment, Todd's palsy, and hypersalivation; (3) presence of motor, focal, or bilateral tonic\u2013clonic seizures; (4) normal neurological examination and brain MRI; and (5) normal laboratory examination and metabolic screening (Specchio et al. 2022 ). The clinical diagnosis was supported by EEG criteria: (1) high\u2010amplitude, centrotemporal biphasic epileptiform abnormalities; (2) persistence of normal background findings with normal sleep organization; and (3) typical morphology of \u2018rolandic spike\u2010like\u2019 and activation of the discharges in drowsiness and sleep (Scheffer et al. 2017 ). The ADHD diagnosis should have been made later than the SeLECTS diagnosis and should have been confirmed by a child and adolescent mental health specialist. ADHD was diagnosed based on the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM\u20105) criteria: The presence of a persistent pattern of inattention and/or hyperactivity\u2013impulsivity that causes impairment in the child's functioning or development (Dsm 1994 ). Atypical presentations of SeLECTS, other neurological disorders, and previous neuropsychiatric disorders were exclusion criteria. Demographic and clinical characteristics, including age, gender, fever history, family history, seizure type and frequency, diagnosis and treatment, and ADHD follow\u2010up data were evaluated for each patient. Patients and their parents provided general information and informed consent forms under the guidance of the clinicians. This study was approved by the Karadeniz Technical University Ethics Committee (2022/173 on 01.10.2022). This study is a preliminary study of the Turkish Health Institutes Association (T\u00FCrkiye Sa\u011Fl\u0131k Enstit\u00FCleri Ba\u015Fkanl\u0131\u011F\u0131/T\u00DCSEB) project (2022\u2010B\u201003/B GROUP AR\u2010GE Project call), supported by project no. 24546.
dc.identifier.doi10.1002/jdn.70020
dc.identifier.eissn1873-474X
dc.identifier.issn0736-5748
dc.identifier.issue3
dc.identifier.pmid40296857
dc.identifier.scopus2-s2.0-105004180937
dc.identifier.startpagee70020
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/10919
dc.identifier.volume85
dc.identifier.wosWOS:001496172500004
dc.language.isoen
dc.publisherJohn Wiley and Sons Inc
dc.relation.ispartofInternational Journal of Developmental Neuroscience
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectattention-deficit hyperactivity disorder
dc.subjectchild
dc.subjecthigh-frequency oscillations
dc.subjectneurocognitive prognosis
dc.subjectprognostic biomarkers
dc.subjectself-limited epilepsy with centrotemporal spikes
dc.subjectAdolescent
dc.subjectAttention Deficit Disorder with Hyperactivity
dc.subjectBrain Waves
dc.subjectElectroencephalography
dc.subjectEpilepsy, Rolandic
dc.subjectFemale
dc.subjectHumans
dc.subjectMale
dc.subjectlamotrigine
dc.subjectlevetiracetam
dc.subjectvalproic acid
dc.subjectArticle
dc.subjectattention deficit hyperactivity disorder
dc.subjectbenign rolandic epilepsy
dc.subjectcentrotemporal region
dc.subjectclinical article
dc.subjectcognitive defect
dc.subjectcomorbidity
dc.subjectdata analysis
dc.subjectelectroencephalogram
dc.subjectfollow up
dc.subjectfrontal cortex
dc.subjecthigh frequency oscillation
dc.subjecthuman
dc.titleHigh-Frequency Oscillations in Self-Limited Epilepsy With Centrotemporal Spikes: Potential Predictors of Attention Deficit Hyperactivity Disorder?
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus2
rdl.citation.wos1
rdl.departmentDepartment of Computer Technologies, Üzümlü Vocational School, Erzincan Binali Yıldırım University, Erzincan, Türkiye.
rdl.oa.statusopen
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)