Individual metabolic brain network abnormalities associated with drug-resistant mTLE vary in surgical outcomes
Individual metabolic brain networks, constructed via ES methodology, revealed significant disruptions in DR-MTLE patients, predominantly in the NSF group. These alterations, particularly between limbic structures and cognitive networks like the DMN, suggested impaired and inefficient information processing across the brain's networks. This study identified abnormal brain networks associated with DR-MTLE and, importantly, contributed novel insights into the mechanisms underlying poor postoperative seizure control, and offered potential implications for refining preoperative assessments.
Authors
- Ziqian Chen (ORCID: https://orcid.org/0000-0003-2514-6906)
- Pan Zhang (ORCID: https://orcid.org/0000-0001-8496-2730)
- Hui Li (ORCID: https://orcid.org/0000-0002-0355-5090)
- Dandan Lin (ORCID: https://orcid.org/0000-0002-2490-101X)
- Shangwen Xu
- Chunlei Zhao
- Zhi-Feng Huang (ORCID: https://orcid.org/0000-0002-8356-974X)
- Xinyi Wang (ORCID: https://orcid.org/0009-0006-0731-6069)
Institutions
- Fujian Medical University (CN)
- Education Department of Fujian Province (CN)
- Fujian Provincial Hospital (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.3389/fneur.2024.1444787
- Citations
- 2
- Primary Topic
- Diet and metabolism studies
- Type
- article
- Field-Weighted Citation Impact
- 0.65
Funders
- Natural Science Foundation of Fujian Province