Autor: |
Yini Chen, Lu Sun, Shiyao Wang, Beiyan Guan, Jingyu Pan, Yiwei Qi, Yufei Li, Nan Yang, Hongsen Lin, Ying Wang, Bo Sun |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Frontiers in Neuroscience, Vol 18 (2024) |
Druh dokumentu: |
article |
ISSN: |
1662-453X |
DOI: |
10.3389/fnins.2024.1423389 |
Popis: |
ObjectivePatients with temporal lobe epilepsy (TLE) often exhibit neurocognitive disorders; however, we still know very little about the pathogenesis of cognitive impairment in patients with TLE. Therefore, our aim is to detect changes in the structural connectivity networks (SCN) of patients with TLE.MethodsThirty-five patients with TLE were compared with 47 normal controls (NC) matched according to age, gender, handedness, and education level. All subjects underwent thin-slice T1WI scanning of the brain using a 3.0 T MRI. Then, a large-scale structural covariance network was constructed based on the gray matter volume extracted from the structural MRI. Graph theory was then used to determine the topological changes in the structural covariance network of TLE patients.ResultsAlthough small-world networks were retained, the structural covariance network of TLE patients exhibited topological irregularities in regular architecture as evidenced by an increase in the small world properties (p |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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