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The Role of EEG microstates in predicting oxcarbazepine treatment outcomes in patients with newly-diagnosed focal epilepsy.

التفاصيل البيبلوغرافية
العنوان: The Role of EEG microstates in predicting oxcarbazepine treatment outcomes in patients with newly-diagnosed focal epilepsy.
المؤلفون: Rong R; Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing Medical University, Nanjing 210008, Jiangsu, PR China., Zhang R; Key Laboratory of Child Development and Learning Science of Ministry of Education, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, Jiangsu, PR China., Xu Y; Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing Medical University, Nanjing 210008, Jiangsu, PR China., Wang X; Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing Medical University, Nanjing 210008, Jiangsu, PR China., Wang H; Key Laboratory of Child Development and Learning Science of Ministry of Education, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, Jiangsu, PR China. Electronic address: hxwang@seu.edu.cn., Wang X; Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210008, Jiangsu, PR China. Electronic address: lidou2005@126.com.
المصدر: Seizure [Seizure] 2024 Jul; Vol. 119, pp. 63-70. Date of Electronic Publication: 2024 May 23.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: England NLM ID: 9306979 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2688 (Electronic) Linking ISSN: 10591311 NLM ISO Abbreviation: Seizure Subsets: MEDLINE
أسماء مطبوعة: Publication: London : Elsevier
Original Publication: London : Baillière Tindall, c1992-
مواضيع طبية MeSH: Epilepsies, Partial*/drug therapy , Epilepsies, Partial*/physiopathology , Epilepsies, Partial*/diagnosis , Oxcarbazepine*/therapeutic use , Oxcarbazepine*/pharmacology , Electroencephalography*/methods , Anticonvulsants*/therapeutic use, Humans ; Female ; Male ; Adult ; Middle Aged ; Adolescent ; Child ; Young Adult ; Treatment Outcome ; Aged ; Support Vector Machine ; Carbamazepine/analogs & derivatives ; Carbamazepine/therapeutic use ; Bayes Theorem
مستخلص: Purpose: Microstates represent the global and topographical distribution of electrical brain activity from scalp-recorded EEG. This study aims to explore EEG microstates of patients with focal epilepsy prior to medication, and employ extracted microstate metrics for predicting treatment outcomes with Oxcarbazepine monotherapy.
Methods: This study involved 25 newly-diagnosed focal epilepsy patients (13 females), aged 12 to 68, with various etiologies. Patients were categorized into Non-Seizure-Free (NSF) and Seizure-Free (SF) groups according to their first follow-up outcomes. From pre-medication EEGs, four representative microstates were identified by using clustering. The temporal parameters and transition probabilities of microstates were extracted and analyzed to discern group differences. With generating sample method, Support Vector Machine (SVM), Logistic Regression (LR), and Naïve Bayes (NB) classifiers were employed for predicting treatment outcomes.
Results: In the NSF group, Microstate 1 (MS1) exhibited a significantly higher duration (mean±std. = 0.092±0.008 vs. 0.085±0.008, p = 0.047), occurrence (mean±std. = 2.587±0.334 vs. 2.260±0.278, p = 0.014), and coverage (mean±std. = 0.240±0.046 vs. 0.194±0.040, p = 0.014) compared to the SF group. Additionally, the transition probabilities from Microstate 2 (MS2) and Microstate 3 (MS3) to MS1 were increased. In MS2, the NSF group displayed a stronger correlation (mean±std. = 0.618±0.025 vs. 0.571±0.034, p < 0.001) and a higher global explained variance (mean±std. = 0.083±0.035 vs. 0.055±0.023, p = 0.027) than the SF group. Conversely, Microstate 4 (MS4) in the SF group demonstrated significantly greater coverage (mean±std. = 0.388±0.074 vs. 0.334±0.052, p = 0.046) and more frequent transitions from MS2 to MS4, indicating a distinct pattern. Temporal parameters contribute major predictive role in predicting treatment outcomes of Oxcarbazepine, with area under curves (AUCs) of 0.95, 0.70, and 0.86, achieved by LR, NB and SVM, respectively.
Conclusion: This study underscores the potential of EEG microstates as predictive biomarkers for Oxcarbazepine treatment responses in newly-diagnosed focal epilepsy patients.
Competing Interests: Conflict of interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.)
فهرسة مساهمة: Keywords: Antiseizure medications; EEG; Machine learning; Microstates; Oxcarbazepine
المشرفين على المادة: VZI5B1W380 (Oxcarbazepine)
0 (Anticonvulsants)
33CM23913M (Carbamazepine)
تواريخ الأحداث: Date Created: 20240526 Date Completed: 20240622 Latest Revision: 20240622
رمز التحديث: 20240623
DOI: 10.1016/j.seizure.2024.05.015
PMID: 38796953
قاعدة البيانات: MEDLINE
الوصف
تدمد:1532-2688
DOI:10.1016/j.seizure.2024.05.015