4.6 Article

Seizure Forecasting Using a Novel Sub-Scalp Ultra-Long Term EEG Monitoring System

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Clinical Neurology

Machine learning and wearable devices of the future

Sandor Beniczky et al.

Summary: Machine learning is increasingly being recognized as a useful tool in healthcare applications, including epilepsy, with one important application being seizure detection and prediction using wearable devices. Current evidence suggests that reliable detection of epileptic seizures can be achieved using data recorded with WDs, and the application of ML has the potential to radically change how we diagnose and manage patients with epilepsy.

EPILEPSIA (2021)

Article Mathematics, Applied

Measuring synchrony in bio-medical timeseries

Marc G. Leguia et al.

Summary: Research shows that only time frequency analysis of continuous recordings of a related bio-marker reveals the full extent of cyclical behavior in events. By testing the sensitivity of both methods to non-stationarity in the underlying cycle, the second method demonstrates greater robustness when tested against surrogate time-series.
Article Clinical Neurology

Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast

Daniel E. Payne et al.

Summary: Most seizure forecasting algorithms rely on electroencephalographic features, but this study explored the predictive information of sleep, weather, and temporal factors on upcoming seizures. Results show that environmental and physiological data significantly contribute to seizure forecasts, with combined features outperforming individual features in predicting seizures in some patients. Noninvasive measurements of these predictive features could potentially enhance traditional seizure detection algorithms.

EPILEPSIA (2021)

Article Clinical Neurology

230 days of ultra long-term subcutaneous EEG: seizure cycle analysis and comparison to patient diary

Pedro F. Viana et al.

Summary: This study describes the longest period of subcutaneous EEG monitoring in a 35-year-old female with refractory epilepsy, showing substantial agreement between reported and recorded seizures, although some clustered seizures were missed. Significant seizure cycles were identified at circadian and multidien timescales using circular statistics. This neurophysiological tool enables electrographic seizure monitoring and analysis of long-term seizure cycles.

ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY (2021)

Article Clinical Neurology

Cycles of self-reported seizure likelihood correspond to yield of diagnostic epilepsy monitoring

Philippa J. Karoly et al.

Summary: This study demonstrates that scheduling monitoring times based on personalized seizure risk forecasts can improve the yield of video-electroencephalography (vEEG) in epilepsy diagnosis and management. Forecasts can be developed at low cost from mobile seizure diaries, reducing the cost and risks associated with delayed or missed diagnosis.

EPILEPSIA (2021)

Article Clinical Neurology

Forecasting seizure risk in adults with focal epilepsy: a development and validation study

Timothee Proix et al.

Summary: This study demonstrates the feasibility of forecasting seizure probabilities days in advance using implanted device-recorded multidien IEA cycles. It provides a basis for prospective clinical trials to determine how individuals with epilepsy can benefit from long-term seizure forecasting.

LANCET NEUROLOGY (2021)

Article Clinical Neurology

Seizure Cycles in Focal Epilepsy

Marc G. Leguia et al.

Summary: This study aimed to establish the prevalence, strength, and temporal patterns of seizure cycles in focal epilepsy patients over timescales of hours to years. The results revealed different types of seizure cycles, with high prevalence of circadian, multidien, and circannual cycles, which can help explain the natural variability in seizure timing.

JAMA NEUROLOGY (2021)

Review Clinical Neurology

Cycles in epilepsy

Philippa J. Karoly et al.

Summary: This Review provides an overview of the evidence for daily, multi-day, and yearly cycles in epileptic brain activity, discussing the potential clinical applications and highlighting technological advances. The authors address the question of why seizures occur when they occur, synthesizing historical, modern, and animal studies to uncover the mechanistic underpinnings of these cycles.

NATURE REVIEWS NEUROLOGY (2021)

Article Clinical Neurology

Signal quality and power spectrum analysis of remote ultra long-term subcutaneous EEG

Pedro F. Viana et al.

Summary: Ultra long-term subcutaneous electroencephalography (sqEEG) monitoring is a new modality with great potential for both health and disease, including epileptic seizure detection and forecasting. The spectral characteristics of minimally invasive, ultra long-term sqEEG are similar to scalp EEG, whereas the signal is highly stationary. Our findings reinforce the suitability of this system for chronic implantation on diverse clinical applications, from seizure detection and forecasting to brain-computer interfaces.

EPILEPSIA (2021)

Article Clinical Neurology

Forecasting Seizure Likelihood With Wearable Technology

Rachel E. Stirling et al.

Summary: The study utilized machine learning models combined with wearable device data to predict epileptic seizures, showing promising potential. It was found that wearable devices can be used to produce personalized seizure forecasts, particularly when biomarkers of seizure and epileptic activity cycles are utilized.

FRONTIERS IN NEUROLOGY (2021)

Article Medicine, General & Internal

Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation

Katrina L. Dell et al.

Summary: Seizure probability changes with day-to-day variations in sleep duration, with an increase of 1.66 hours in sleep duration leading to a 27% decrease in seizure odds. Following a seizure, patients slept longer and experienced reduced sleep quality if the seizure occurred during sleep.

ECLINICALMEDICINE (2021)

Letter Behavioral Sciences

Computer-assisted estimation of interictal discharge burden in idiopathic generalized epilepsy

Dominique Eden et al.

EPILEPSY & BEHAVIOR (2020)

Article Multidisciplinary Sciences

Critical slowing down as a biomarker for seizure susceptibility

Matias Maturana et al.

NATURE COMMUNICATIONS (2020)

Review Clinical Neurology

Deep Brain Stimulation for Epilepsy: Biomarkers for Optimization

Katrina L. Dell et al.

CURRENT TREATMENT OPTIONS IN NEUROLOGY (2019)

Review Clinical Neurology

Are the days of counting seizures numbered?

Philippa Karoly et al.

CURRENT OPINION IN NEUROLOGY (2018)

Article Engineering, Biomedical

Consistency of Long-Term Subdural Electrocorticography in Humans

Ewan S. Nurse et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)

Article Clinical Neurology

Diagnostic challenges in epilepsy: seizure under-reporting and seizure detection

Christian E. Elger et al.

LANCET NEUROLOGY (2018)

Article Multidisciplinary Sciences

Variability in the location of high frequency oscillations during prolonged intracranial EEG recordings

Stephen V. Gliske et al.

NATURE COMMUNICATIONS (2018)

Article Multidisciplinary Sciences

Multi-day rhythms modulate seizure risk in epilepsy

Maxime O. Baud et al.

NATURE COMMUNICATIONS (2018)

Article Clinical Neurology

Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study

Philippa J. Karoly et al.

LANCET NEUROLOGY (2018)

Review Clinical Neurology

Seizure prediction - ready for a new era

Levin Kuhlmann et al.

NATURE REVIEWS NEUROLOGY (2018)

Article Engineering, Biomedical

Intracranial EEG fluctuates over months after implanting electrodes in human brain

Hoameng Ung et al.

JOURNAL OF NEURAL ENGINEERING (2017)

Article Clinical Neurology

The circadian profile of epilepsy improves seizure forecasting

Philippa J. Karoly et al.

Article Clinical Neurology

Confusing placebo effect with natural history in epilepsy: A big data approach

Daniel M. Goldenholz et al.

ANNALS OF NEUROLOGY (2015)

Article Computer Science, Interdisciplinary Applications

CircStat: A MATLAB Toolbox for Circular Statistics

Philipp Berens

JOURNAL OF STATISTICAL SOFTWARE (2009)

Article Clinical Neurology

Outpatient seizure identification - Results of 502 patients using computer-assisted ambulatory EEG

WO Tatum et al.

JOURNAL OF CLINICAL NEUROPHYSIOLOGY (2001)