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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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>DTI 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\u2010 and gender\u2010matched normal controls (NC). Graph theory was used to analyze the whole\u2010brain 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Patients 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our 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.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cns.14414","type":"journal-article","created":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T08:45:38Z","timestamp":1692953138000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Abnormal white matter structural network topological property in patients with temporal lobe epilepsy"],"prefix":"10.1111","volume":"30","author":[{"given":"Haiming","family":"Ai","sequence":"first","affiliation":[{"name":"Faculty of Science and Technology Beijing Open University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunlan","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Life Science and Bioengineering Beijing University of Technology  Beijing 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