{"title":"Closed-loop phase-targeted stimulation during sleep: Open-source benchmarking of methods and a novel algorithm for the epileptic brain","authors":"Vicki Li , Simeon M. Wong , George M. Ibrahim","doi":"10.1016/j.jneumeth.2025.110543","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Phase-targeted auditory stimulation (PTAS) during sleep has been shown to enhance slow oscillations (SOs) and improve memory consolidation through closed-loop delivery of auditory stimuli at the up-phase of SOs. However, clinical translation of PTAS therapy has been hindered by challenges in the estimation of real-time phase. Our scoping review of 53 PTAS studies identified substantial variability in phase estimation methods and therapeutic outcomes. In particular, there were no validated methods for clinical populations with pathological electroencephalography (EEG) features, such as persons with epilepsy, where interictal epileptiform discharges (IEDs) compromise the performance of real-time PTAS delivery.</div></div><div><h3>New method</h3><div>To address critical limitations in the application of existing approaches to the epileptic brain, we developed TWave, a real-time algorithm that integrates wavelet-based phase estimation with predictive modelling and multi-feature validation. TWave is designed to maintain SO phase estimation performance while rejecting pathological EEG artifacts to achieve the temporal precision required for effective PTAS.</div></div><div><h3>Results</h3><div>TWave achieved high phase estimation accuracy and precision in healthy adult (mean error=0.11 radians; SD=1.23 radians) and paediatric epilepsy (mean error=0.26 radians; SD=1.22 radians) EEG recordings. Importantly, TWave successfully rejected 83 % of IEDs while maintaining sensitivity to SOs.</div></div><div><h3>Comparison with existing algorithms</h3><div>Benchmarking against four commonly used algorithms demonstrated TWave’s superior performance in maintaining phase estimation precision across normative and epilepsy EEG recordings.</div></div><div><h3>Conclusion</h3><div>The current work accelerates clinical translation of PTAS by providing a validated approach to real-time phase estimation and providing an open-source toolbox to increase reproducibility in sleep modulation research.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"423 ","pages":"Article 110543"},"PeriodicalIF":2.3000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neuroscience Methods","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165027025001876","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Phase-targeted auditory stimulation (PTAS) during sleep has been shown to enhance slow oscillations (SOs) and improve memory consolidation through closed-loop delivery of auditory stimuli at the up-phase of SOs. However, clinical translation of PTAS therapy has been hindered by challenges in the estimation of real-time phase. Our scoping review of 53 PTAS studies identified substantial variability in phase estimation methods and therapeutic outcomes. In particular, there were no validated methods for clinical populations with pathological electroencephalography (EEG) features, such as persons with epilepsy, where interictal epileptiform discharges (IEDs) compromise the performance of real-time PTAS delivery.
New method
To address critical limitations in the application of existing approaches to the epileptic brain, we developed TWave, a real-time algorithm that integrates wavelet-based phase estimation with predictive modelling and multi-feature validation. TWave is designed to maintain SO phase estimation performance while rejecting pathological EEG artifacts to achieve the temporal precision required for effective PTAS.
Results
TWave achieved high phase estimation accuracy and precision in healthy adult (mean error=0.11 radians; SD=1.23 radians) and paediatric epilepsy (mean error=0.26 radians; SD=1.22 radians) EEG recordings. Importantly, TWave successfully rejected 83 % of IEDs while maintaining sensitivity to SOs.
Comparison with existing algorithms
Benchmarking against four commonly used algorithms demonstrated TWave’s superior performance in maintaining phase estimation precision across normative and epilepsy EEG recordings.
Conclusion
The current work accelerates clinical translation of PTAS by providing a validated approach to real-time phase estimation and providing an open-source toolbox to increase reproducibility in sleep modulation research.
期刊介绍:
The Journal of Neuroscience Methods publishes papers that describe new methods that are specifically for neuroscience research conducted in invertebrates, vertebrates or in man. Major methodological improvements or important refinements of established neuroscience methods are also considered for publication. The Journal''s Scope includes all aspects of contemporary neuroscience research, including anatomical, behavioural, biochemical, cellular, computational, molecular, invasive and non-invasive imaging, optogenetic, and physiological research investigations.