Monitoring seizure cycles with seizure diaries DOI Open Access
Ashley Reynolds, Rachel E. Stirling, Samuel Håkansson

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 30, 2024

Objective: The periodicity of seizures, ranging from circadian to circannual cycles, is increasingly recognized as a significant opportunity advance epilepsy management. Current methods for detecting seizure cycles rely on intrusive techniques or specialised biomarkers, limiting their accessibility. Approach: This study evaluates non-invasive cycle detection method using diaries and compares its accuracy with identified intracranial electroencephalography (iEEG) seizures interictal epileptiform discharges (IEDs). Using data previously published first in-human iEEG device trial (n=10), we analysed through diary reports, IEDs. Cycle similarities across iEDs were evaluated at periods 1 45 days spectral coherence, accuracy, precision recall scores. Main results: Spectral coherence the raw signals averaged over frequencies participants indicated moderately similar frequency components between seizures/day (Mean=0.62, SD=0.61,95% CI [0.59, 0.95]). In contrast, there was low IEDs/day (Mean=0.17, SD=0.17, 95% [0.18, 0.18]) (Mean=0.18, SD=0.18, [0.17, 0.19]). Mean significantly higher than chance all (Accuracy: Mean=0.95, SD=0.02; Precision: Mean=0.56, SD=0.19; Recall: SD=0.19). Accuracy, scores compared IED did not perform above chance, average. Recall good reporters, under-reporters over-reporters, generally performing better in reporters over-reporters. Significance: These findings suggest that can be accurately even both under- approach offers practical, accessible alternative monitoring more invasive methods.

Language: Английский

Seizure prediction and forecasting: a scoping review DOI

Joshua C. Cheng,

Daniel M. Goldenholz

Current Opinion in Neurology, Journal Year: 2025, Volume and Issue: 38(2), P. 135 - 139

Published: Jan. 20, 2025

This scoping review summarizes key developments in the field of seizure forecasting. Developments have been made along several modalities forecasting, including long term intracranial and subcutaneous encephalogram, wearable physiologic monitoring, diaries. However, clinical translation these tools is limited by various factors. One lack validation on an external dataset. Moreover, widespread practice comparing models to a chance forecaster may be inadequate. Instead, model should able at least surpass moving average forecaster, which serves as 'napkin test' (i.e., can computed back napkin). The impact frequency performance also accounted for when across studies. Surprisingly, despite potential poor quality forecasts, some individuals with epilepsy still want access imprecise forecasts even alter their behavior based upon them. Promising advances development but current not yet overcome hurdles. Future studies will need address potentially dangerous patient behaviors well account validation, napkin test, dependent metrics.

Language: Английский

Citations

0
Evaluating the accuracy of monitoring seizure cycles with seizure diaries DOI Creative Commons
Ashley Reynolds, Rachel E. Stirling, Samuel Håkansson

et al.

Epilepsia, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Abstract Objective Epileptic seizures occurring in cyclical patterns is increasingly recognized as a significant opportunity to advance epilepsy management. Current methods for detecting seizure cycles rely on intrusive techniques or specialized biomarkers, thereby limiting their accessibility. This study evaluates non‐invasive cycle detection method using diaries and compares its accuracy with identified from intracranial electroencephalography (iEEG) interictal epileptiform discharges (IEDs). Methods Using data previously published first in‐human iEEG device trial ( n = 10), we analyzed through diary reports, seizures, IEDs. Cycle similarities across IEDs were evaluated at periods of 1 45 days spectral coherence, accuracy, precision, recall, the false‐positive rate. Results A coherence analysis raw signals showed moderately similar periodic components between seizures/day (median .43, IQR .68). In contrast, there was low IEDs/day .11, .18) .12, .19). Accuracy, recall scores, rates significantly higher than chance all participants (accuracy (mean ± standard deviation): .95 .02; precision: .56 .19; recall: rate: .02 .01). However, scores IED both did not perform above chance, average. Recall compared good reporters, under‐reporters, over‐reporters, generally performing better reporters under‐reporters over‐reporters. Significance These findings suggest that can be even individuals who under‐ over‐report seizures. approach offers an accessible alternative monitoring more invasive methods.

Language: Английский

Citations

0
The value of self-reported variables in epilepsy monitoring and management. A systematic scoping review. DOI Creative Commons
Andrea Biondi, Nicolas Zabler, Sotirios Kalousios

et al.

Seizure, Journal Year: 2024, Volume and Issue: 122, P. 119 - 143

Published: Oct. 9, 2024

Language: Английский

Citations

1
Monitoring seizure cycles with seizure diaries DOI Open Access
Ashley Reynolds, Rachel E. Stirling, Samuel Håkansson

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 30, 2024

Objective: The periodicity of seizures, ranging from circadian to circannual cycles, is increasingly recognized as a significant opportunity advance epilepsy management. Current methods for detecting seizure cycles rely on intrusive techniques or specialised biomarkers, limiting their accessibility. Approach: This study evaluates non-invasive cycle detection method using diaries and compares its accuracy with identified intracranial electroencephalography (iEEG) seizures interictal epileptiform discharges (IEDs). Using data previously published first in-human iEEG device trial (n=10), we analysed through diary reports, IEDs. Cycle similarities across iEDs were evaluated at periods 1 45 days spectral coherence, accuracy, precision recall scores. Main results: Spectral coherence the raw signals averaged over frequencies participants indicated moderately similar frequency components between seizures/day (Mean=0.62, SD=0.61,95% CI [0.59, 0.95]). In contrast, there was low IEDs/day (Mean=0.17, SD=0.17, 95% [0.18, 0.18]) (Mean=0.18, SD=0.18, [0.17, 0.19]). Mean significantly higher than chance all (Accuracy: Mean=0.95, SD=0.02; Precision: Mean=0.56, SD=0.19; Recall: SD=0.19). Accuracy, scores compared IED did not perform above chance, average. Recall good reporters, under-reporters over-reporters, generally performing better in reporters over-reporters. Significance: These findings suggest that can be accurately even both under- approach offers practical, accessible alternative monitoring more invasive methods.

Language: Английский

Citations

0