دورية أكاديمية
Identifying epileptogenic abnormality by decomposing intracranial EEG and MEG power spectra.
| العنوان: | Identifying epileptogenic abnormality by decomposing intracranial EEG and MEG power spectra. |
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| المؤلفون: | Kozma, Csaba, Schroeder, Gabrielle, Owen, Tom, de Tisi, Jane, McEvoy, Andrew W, Miserocchi, Anna, Duncan, John, Wang, Yujiang, Taylor, Peter N |
| المصدر: | J Neurosci Methods ; ISSN:1872-678X ; Volume:408 |
| بيانات النشر: | Elsevier Science |
| سنة النشر: | 2024 |
| المجموعة: | PubMed Central (PMC) |
| مصطلحات موضوعية: | 1/f exponent, Epilepsy, IEEG, MEG, Normative mapping, Power spectrum decomposition |
| الوصف: | Accurate identification of abnormal electroencephalographic (EEG) activity is pivotal for diagnosing and treating epilepsy. Recent studies indicate that decomposing brain activity into periodic (oscillatory) and aperiodic (trend across all frequencies) components can illuminate the drivers of spectral activity changes. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | https://doi.org/10.1016/j.jneumeth.2024.110180Test; https://pubmed.ncbi.nlm.nih.gov/38795977Test |
| DOI: | 10.1016/j.jneumeth.2024.110180 |
| الإتاحة: | https://doi.org/10.1016/j.jneumeth.2024.110180Test https://pubmed.ncbi.nlm.nih.gov/38795977Test |
| حقوق: | Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved. |
| رقم الانضمام: | edsbas.54EBE90 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.jneumeth.2024.110180 |
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