AI Article Synopsis
- The study aimed to explore changes in structural covariance networks (SCNs) in patients with temporal lobe epilepsy and comorbid sleep disorders using high-resolution MRI.
- Results showed that these patients had significant differences in network properties, such as increased clustering coefficients and local efficiency, indicating a more complex network structure.
- However, the PWSD networks were less robust compared to healthy controls and patients without sleep disorders, suggesting increased vulnerability in those with both epilepsy and sleep issues.
Article Abstract
Objective: The structural covariance network (SCN) alterations in patients with temporal lobe epilepsy and comorbid sleep disorder (PWSD) remain poorly understood. This study aimed to investigate changes in SCNs using structural magnetic resonance imaging.
Methods: Thirty-four PWSD patients, thirty-three patients with temporal lobe epilepsy without sleep disorder (PWoSD), and seventeen healthy controls underwent high-resolution structural MRI imaging. Subsequently, SCNs were constructed based on gray matter volume and analyzed via graph-theoretical approaches.
Results: PWSD exhibited significantly increased clustering coefficients, shortest path lengths, transitivity, and local efficiency. In addition, various distributions and numbers of SCN hubs were identified in PWSD. Furthermore, PWSD networks were less robust to random and target attacks than those of healthy controls and PWoSD patients.
Conclusion: This study identifies aberrant SCN changes in PWSD that may be related to the susceptibility of patients with epilepsy to sleep disorders.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605209 | PMC |
| http://dx.doi.org/10.3390/brainsci13101493 | DOI Listing |
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