Low entropy map of brain oscillatory activity identifies spatially localized events: a new method for automated epilepsy focus prediction

Vila-Vidal, Manel; Enríquez, Carmen Pérez; Príncipe, Alessandro; Rocamora, Rodrigo; Deco, Gustavo; Campo, Adrià Tauste

doi:10.1101/707497

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…The only article that met inclusion criteria for this study assessed reliability between two reviewers who interpreted 67 seizures from 10 patients with temporal lobe epilepsy who underwent iEEG analysis and subsequent surgical resection. 37 Reviewers marked the included channels of the SOZ for patients already determined to have an ictal onset that corresponded to a defined anatomic region. In this context, they observed a rater agreement of .97 and Cohen kappa of .80.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability of visual review of intracranial electroencephalogram in identifying the seizure onset zone: A systematic review and implications for the accuracy of automated methods

et al. 2022

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Visual review of intracranial electroencephalography (iEEG) is often an essential component for defining the zone of resection for epilepsy surgery. Unsupervised approaches using machine and deep learning are being employed to identify seizure onset zones (SOZs). This prompts a more comprehensive understanding of the reliability of visual review as a reference standard. We sought to summarize existing evidence on the reliability of visual review of iEEG in defining the SOZ for patients undergoing surgical workup and understand its implications for algorithm accuracy for SOZ prediction. We performed a systematic literature review on the reliability of determining the SOZ by visual inspection of iEEG in accordance with best practices. Searches included MEDLINE, Embase, Cochrane Library, and Web of Science on May 8, 2022. We included studies with a quantitative reliability assessment within or between observers. Risk of bias assessment was performed with QUADAS‐2. A model was developed to estimate the effect of Cohen kappa on the maximum possible accuracy for any algorithm detecting the SOZ. Two thousand three hundred thirty‐eight articles were identified and evaluated, of which one met inclusion criteria. This study assessed reliability between two reviewers for 10 patients with temporal lobe epilepsy and found a kappa of .80. These limited data were used to model the maximum accuracy of automated methods. For a hypothetical algorithm that is 100% accurate to the ground truth, the maximum accuracy modeled with a Cohen kappa of .8 ranged from .60 to .85 (F‐2). The reliability of reviewing iEEG to localize the SOZ has been evaluated only in a small sample of patients with methodologic limitations. The ability of any algorithm to estimate the SOZ is notably limited by the reliability of iEEG interpretation. We acknowledge practical limitations of rigorous reliability analysis, and we propose design characteristics and study questions to further investigate reliability.

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Section: Literature Reviewmentioning

confidence: 99%

Reliability of visual review of intracranial electroencephalogram in identifying the seizure onset zone: A systematic review and implications for the accuracy of automated methods

et al. 2022

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Computer Aided Tool for diagnosing Epilepsy using Kolmogorov Complexity and Approximate Entropy

Martis²

2020

2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

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Non-periodic acoustic stimulation: preliminar reports of an alternative therapeutic for epilepsy

Lucena,

Oliveira,

Albuquerque

et al. 2023

Revista Científica Multidisciplinar Núcleo do Conhecimento

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Being refractory is a significant challenge for one third of patients with epilepsy, and there is a need for new treatments. Non-periodic Stimulation (NPS) has shown promise in animal models, but it involves invasive technology. Consequently, non-invasive non-periodic Acoustic Non-periodic Stimulation (ANPS) has been developed based on NPS, with the hope that it could offer anticonvulsant effects. However, it is essential to ensure the safety of ANPS, particularly in individuals with refractory epilepsy, before it can be used in a specific application. To this end, this study aimed to assess the safety of ANPS in patients with refractory epilepsy (n=14; 8 women; 18-49 years old) using Electroencephalographic (EEG) recording and side effect evaluations over a period of five days. A questionnaire was administered immediately following the ANPS exposure and 30 days later. The study also aimed to investigate whether ANPS could trigger electrographic seizure events by counting epileptiform interictal spikes and sharp waves before and after ANPS. Additionally, the effects of ANPS on overall EEG signal properties and synchronicity were studied by calculating entropy and Phase Lock Value (PLV). Results indicate that ANPS did not trigger seizures or side effects after acute exposure or 30 days later. Rather, an improvement in quality of life and a reduction of interictal peaks and sharp waves in the EEG were observed, indicating possible anticonvulsant effects of ANPS. ANPS also increased EEG signal entropy and induced changes in brain synchrony, as evidenced by increased PLV values in some neural networks and decreased PLV values in others. Overall, these findings suggest that ANPS is well-tolerated and safe in patients with refractory epilepsy and may have anticonvulsant properties. Further investigation of its effects on neurophysiology and refractory epilepsy is warranted.

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Low entropy map of brain oscillatory activity identifies spatially localized events: a new method for automated epilepsy focus prediction

Cited by 3 publications

References 21 publications

Reliability of visual review of intracranial electroencephalogram in identifying the seizure onset zone: A systematic review and implications for the accuracy of automated methods

Reliability of visual review of intracranial electroencephalogram in identifying the seizure onset zone: A systematic review and implications for the accuracy of automated methods

Computer Aided Tool for diagnosing Epilepsy using Kolmogorov Complexity and Approximate Entropy

Non-periodic acoustic stimulation: preliminar reports of an alternative therapeutic for epilepsy

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