ArticleEpilepsia2017
Bimodal coupling of ripples and slower oscillations during sleep in patients with focal epilepsy.
Article in Epilepsia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Trial
- Investigation of the relationship between 0.5-1200 Hz signal characteristics of cortical high-frequency oscillations and epileptogenicity through multivariate analysis.Epilepsy & behavior reports · 2025Article
- Simulated resections and RNS placement can optimize post-operative seizure outcomes when guided by fast ripple networks.medRxiv : the preprint server for health sciences · 2024Article
- Pathological and Physiological High-frequency Oscillations on Electroencephalography in Patients with Epilepsy.Neuroscience bulletin · 2024Review
- Pathological neurons generate ripples at the UP-DOWN transition disrupting information transfer.Epilepsia · 2024Article
- Simulated resections and responsive neurostimulator placement can optimize postoperative seizure outcomes when guided by fast ripple networks.Brain communications · 2024Article
- Fast ripples reflect increased excitability that primes epileptiform spikes.Brain communications · 2023Article
- Delta oscillation coupled propagating fast ripples precede epileptiform discharges in patients with focal epilepsy.Neurobiology of disease · 2022Article
- Integration of multiscale entropy and BASED scale of electroencephalography after adrenocorticotropic hormone therapy predict relapse of infantile spasms.World journal of pediatrics : WJP · 2022Article
- Drug-resistant epilepsy and the hypothesis of intrinsic severity: What about the high-frequency oscillations?Epilepsia open · 2022Review
- Beyond rates: time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone.Journal of neural engineering · 2022Article
- Graph theoretical measures of fast ripples support the epileptic network hypothesis.Brain communications · 2022Article
- Automated preprocessing and phase-amplitude coupling analysis of scalp EEG discriminates infantile spasms from controls during wakefulness.Epilepsy research · 2021Article
- Accuracy of high-frequency oscillations recorded intraoperatively for classification of epileptogenic regions.Scientific reports · 2021Article
- Low frequency novel interictal EEG biomarker for localizing seizures and predicting outcomes.Brain communications · 2021Article
- Scalp EEG interictal high frequency oscillations as an objective biomarker of infantile spasms.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020Article
- Ripples Have Distinct Spectral Properties and Phase-Amplitude Coupling With Slow Waves, but Indistinct Unit Firing, in Human Epileptogenic Hippocampus.Frontiers in neurology · 2020Article
- Association Between Interictal High-Frequency Oscillations and Slow Wave in Refractory Focal Epilepsy With Good Surgical Outcome.Frontiers in human neuroscience · 2020Article
- Localizing epileptogenic regions using high-frequency oscillations and machine learning.Biomarkers in medicine · 2019Review
- Nonictal EEG biomarkers for diagnosis and treatment.Epilepsia open · 2018Article
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Authors and funding
15 authors.
Funding
Abstract
objectiveDifferentiating pathologic and physiologic high-frequency oscillations (HFOs) is challenging. In patients with focal epilepsy, HFOs occur during the transitional periods between the up and down state of slow waves. The preferred phase angles of this form of phase-event amplitude coupling are bimodally distributed, and the ripples (80-150 Hz) that occur during the up-down transition more often occur in the seizure-onset zone (SOZ). We investigated if bimodal ripple coupling was also evident for faster sleep oscillations, and could identify the SOZ.
methodsUsing an automated ripple detector, we identified ripple events in 40-60 min intracranial electroencephalography (iEEG) recordings from 23 patients with medically refractory mesial temporal lobe or neocortical epilepsy. The detector quantified epochs of sleep oscillations and computed instantaneous phase. We utilized a ripple phasor transform, ripple-triggered averaging, and circular statistics to investigate phase event-amplitude coupling.
resultsWe found that at some individual recording sites, ripple event amplitude was coupled with the sleep oscillatory phase and the preferred phase angles exhibited two distinct clusters (p < 0.05). The distribution of the pooled mean preferred phase angle, defined by combining the means from each cluster at each individual recording site, also exhibited two distinct clusters (p < 0.05). Based on the range of preferred phase angles defined by these two clusters, we partitioned each ripple event at each recording site into two groups: depth iEEG peak-trough and trough-peak. The mean ripple rates of the two groups in the SOZ and non-SOZ (NSOZ) were compared. We found that in the frontal (spindle, p = 0.009; theta, p = 0.006, slow, p = 0.004) and parietal lobe (theta, p = 0.007, delta, p = 0.002, slow, p = 0.001) the SOZ incidence rate for the ripples occurring during the trough-peak transition was significantly increased. SIGNIFICANCE: Phase-event amplitude coupling between ripples and sleep oscillations may be useful to distinguish pathologic and physiologic events in patients with frontal and parietal SOZ.
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