ArticleHuman brain mapping2015
Intrinsic brain activity as a diagnostic biomarker in children with benign epilepsy with centrotemporal spikes.
Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 40 citations in OpenAlex.
- Integrating multivariate resting-state fMRI features to localize epileptic networks in common childhood epilepsy.Epilepsia · 2026Article
- Brain structural changes and molecular analyses in children with benign epilepsy with centrotemporal spikes.Pediatric research · 2024Article
- Structural and functional changes in drug-naïve benign childhood epilepsy with centrotemporal spikes and their associated gene expression profiles.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Interictal epileptiform discharges changed epilepsy-related brain network architecture in BECTS.Brain imaging and behavior · 2022Article
- Influence of epileptogenic region on brain structural changes in Rolandic epilepsy.Brain imaging and behavior · 2022Article
- Brain functional and structural characteristics of patients with seizure recurrence following drug withdrawal.Neuroradiology · 2021Article
- Auditory stimulation during sleep suppresses spike activity in benign epilepsy with centrotemporal spikes.Cell reports. Medicine · 2021Article
- Reliability and availability of granger causality density in localization of Rolandic focus in BECTS.Brain imaging and behavior · 2021Article
- Electromyography Biomarkers for Quantifying the Intraoperative Efficacy of Deep Brain Stimulation in Parkinson's Patients With Resting Tremor.Frontiers in neurology · 2020Article
- Frequency-Dependent Interictal Neuromagnetic Activities in Children With Benign Epilepsy With Centrotemporal Spikes: A Magnetoencephalography (MEG) Study.Frontiers in human neuroscience · 2020Article
- The epileptic network and cognition: What functional connectivity is teaching us about the childhood epilepsies.Epilepsia · 2019Review
- BECTS Substate Classification by Granger Causality Density Based Support Vector Machine Model.Frontiers in neurology · 2019Article
- The Role of EEG-fMRI in Studying Cognitive Network Alterations in Epilepsy.Frontiers in neurology · 2019Review
- Altered temporal dynamics of brain activity in patients with generalized tonic-clonic seizures.PloS one · 2019Article
- Altered connectivity patterns among resting state networks in patients with ischemic white matter lesions.Brain imaging and behavior · 2018Article
- Stimulated left DLPFC-nucleus accumbens functional connectivity predicts the anti-depression and anti-anxiety effects of rTMS for depression.Translational psychiatry · 2018Article
- Differential patterns of dynamic functional connectivity variability of striato-cortical circuitry in children with benign epilepsy with centrotemporal spikes.Human brain mapping · 2018Article
- Structural Covariance Network of Cortical Gyrification in Benign Childhood Epilepsy with Centrotemporal Spikes.Frontiers in neurology · 2018Article
- Inter-hemispheric Intrinsic Connectivity as a Neuromarker for the Diagnosis of Boys with Tourette Syndrome.Molecular neurobiology · 2017Article
- Alterations in Spontaneous Brain Activity and Functional Network Reorganization following Surgery in Children with Medically Refractory Epilepsy: A Resting-State Functional Magnetic Resonance Imaging Study.Frontiers in neurology · 2017Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Benign epilepsy with centrotemporal spikes (BECTS) is often associated with neural circuit dysfunction, particularly during the transient active state characterized by interictal epileptiform discharges (IEDs). Little is known, however, about the functional neural circuit abnormalities in BECTS without IEDs, or if such abnormalities could be used to differentiate BECTS patients without IEDs from healthy controls (HCs) for early diagnosis. To this end, we conducted resting-state functional magnetic resonance imaging (RS-fMRI) and simultaneous Electroencephalogram (EEG) in children with BECTS (n = 43) and age-matched HC (n = 28). The simultaneous EEG recordings distinguished BECTS with IEDs (n = 20) from without IEDs (n = 23). Intrinsic brain activity was measured in all three groups using the amplitude of low frequency fluctuation at rest. Compared to HC, BECTS patients with IEDs exhibited an intrinsic activity abnormality in the thalamus, suggesting that thalamic dysfunction could contribute to IED emergence while patients without IEDs exhibited intrinsic activity abnormalities in middle frontal gyrus and superior parietal gyrus. Using multivariate pattern classification analysis, we were able to differentiate BECTS without IEDs from HCs with 88.23% accuracy. BECTS without epileptic transients can be distinguished from HC and BECTS with IEDs by unique regional abnormalities in resting brain activity. Both transient abnormalities as reflected by IEDs and chronic abnormalities as reflected by RS-fMRI may contribute to BECTS development and expression. Intrinsic brain activity and multivariate pattern classification techniques are promising tools to diagnose and differentiate BECTS syndromes. Hum Brain Mapp 36:3878-3889, 2015. © 2015 Wiley Periodicals, Inc.
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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.