Affiliation:
1. Faculty of Science and Technology Beijing Open University Beijing China
2. College of Life Science and Bioengineering Beijing University of Technology Beijing China
3. Beijing Tiantan Hospital Capital Medical University Beijing China
4. Department of Equipment Baoding first Central Hospital Baoding China
Abstract
AbstractBackgroundDiffusion tensor imaging (DTI) studies have demonstrated white matter (WM) abnormalities in patients with temporal lobe epilepsy (TLE). However, alterations in the topological properties of the WM structural network in patients with TLE remain unclear. Graph theoretical analysis provides a new perspective for evaluating the connectivity of WM structural networks.MethodsDTI was used to map the structural networks of 18 patients with TLE (10 males and 8 females) and 29 (17 males and 12 females) age‐ and gender‐matched normal controls (NC). Graph theory was used to analyze the whole‐brain networks and their topological properties between the two groups. Finally, partial correlation analyses were performed on the weighted network properties and clinical characteristics, namely, duration of epilepsy, verbal intelligence quotient (IQ), and performance IQ.ResultsPatients with TLE exhibited reduced global efficiency and increased characteristic path length. A total of 31 regions with nodal efficiency alterations were detected in the fractional anisotropy_ weighted network of the patients. Communication hubs, such as the middle temporal gyrus, right inferior temporal gyrus, left calcarine, and right superior parietal gyrus, were also differently distributed in the patients compared with the NC. Several node regions showed close relationships with duration of epilepsy, verbal IQ, and performance IQ.ConclusionsOur results demonstrate the disruption of the WM structural network in TLE patients. This study may contribute to the further understanding of the pathological mechanism of TLE.
Funder
Beijing Municipal Commission of Education
Beijing Nova Program
National Natural Science Foundation of China
Natural Science Foundation of Beijing Municipality
Subject
Pharmacology (medical),Physiology (medical),Psychiatry and Mental health,Pharmacology
Cited by
2 articles.
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