Early Prediction of the Evolution of Self‐Limited Epilepsy With Centrotemporal Spikes to Epileptic Encephalopathy With Spike‐and‐Wave Activation in Sleep: A Prediction Model Construction Based on Quantitative Electroencephalography Characteristics
Initial quantitative EEG characteristics of SeLECTS can predict the development of EE-SWAS, suggesting distinct disease characteristics and pathogeneses in children at risk of encephalopathic transformation.
Authors
- Lili Tong (ORCID: https://orcid.org/0000-0001-6529-3017)
- Linghui Zhu
- Dongqing Zhang (ORCID: https://orcid.org/0000-0001-5180-7419)
- Baomin Li
- Zaifen Gao
- Zimeng He (ORCID: https://orcid.org/0000-0003-0548-1504)
- Guijuan Jia
- Yumei Li (ORCID: https://orcid.org/0000-0002-7705-4950)
- Xiaofan Yang (ORCID: https://orcid.org/0000-0002-0685-5400)
- Xiaoyu Zhao (ORCID: https://orcid.org/0009-0007-0477-239X)
Institutions
- Shandong University (CN)
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1111/cns.70268
- Citations
- 5
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 7.36
Funders
- Natural Science Foundation of Shandong Province