High‐Density Electroencephalography Detects Spatiotemporal Abnormalities in Brain Networks in Patients With Glioma‐Related Epilepsy
The current study revealed specific brain network abnormalities in GRE patients based on graph theory and microstate analyses of resting-state high-density EEG data. These findings can enhance our comprehension of the mechanisms behind GRE and offer potential biomarkers for improving individualized management of glioma patients.
Authors
- Lei Wang (ORCID: https://orcid.org/0000-0003-4530-3526)
- Jiawei Shi
- Tao Jiang (ORCID: https://orcid.org/0000-0002-7008-6351)
- Ke Li (ORCID: https://orcid.org/0000-0002-9352-9047)
- Jiajia Liu (ORCID: https://orcid.org/0000-0002-3146-2860)
- Hui Qiao (ORCID: https://orcid.org/0000-0003-4165-3043)
- Gan You
- Yinyan Wang (ORCID: https://orcid.org/0000-0003-1606-2284)
- Xing Fan (ORCID: https://orcid.org/0000-0003-1022-1731)
Institutions
- Capital Medical University (CN)
- Beijing Tian Tan Hospital (CN)
- Beijing Institute of Neurosurgery (CN)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1111/cns.70396
- Citations
- 3
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- National Natural Science Foundation of China