Epilepsy is a common neurological disorder that affects millions of people worldwide, disrupting brain networks and causing recurrent seizures. In this regard, investigating the distinctive characteristics of brain connectivity is crucial to understanding the underlying neural processes of epilepsy. However, the various graph-theory frameworks and different estimation measures may yield significant variability among the results of different studies. On this premise, this study investigates the brain network topological variations between patients with temporal lobe epilepsy (TLE) and extratemporal lobe epilepsy (ETLE) using both directed and undirected network connectivity methods as well as different graph-theory metrics. Our results reveal distinct topological differences in connectivity graphs between the two epilepsy groups, with TLE patients displaying more disassortative graphs at lower density levels compared to ETLE patients. Moreover, we highlight the variations in the hub regions across different network metrics, underscoring the importance of considering various centrality measures for a comprehensive understanding of brain network dynamics in epilepsy. Our findings suggest that the differences in brain network organization between TLE and ETLE patients could be attributed to the unique characteristics of each epilepsy type, offering insights into potential biomarkers for type-specific epilepsy diagnosis and treatment.
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St Petersburg State I Pavlov Med Univ, Dept Psychiat, St Petersburg, RussiaSt Petersburg State I Pavlov Med Univ, Dept Psychiat, St Petersburg, Russia
Shmeleva, L.
Kissin, M.
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St Petersburg State I Pavlov Med Univ, Dept Psychiat, St Petersburg, RussiaSt Petersburg State I Pavlov Med Univ, Dept Psychiat, St Petersburg, Russia
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Sichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R ChinaSichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R China
Chen, Q.
Lv, S.
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Sichuan Univ, Dept Radiol, W China Hosp, Chengdu 610064, Peoples R ChinaSichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R China
Lv, S.
Zou, L.
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Sichuan Univ, Dept Radiol, W China Hosp, Chengdu 610064, Peoples R ChinaSichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R China
Zou, L.
Gong, Q.
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Sichuan Univ, Dept Radiol, W China Hosp, Chengdu 610064, Peoples R ChinaSichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R China
Gong, Q.
Dai, G.
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Harvard Univ, Massachusetts Gen Hosp, Sch Med, Martinos Ctr Biomed Imaging, Boston, MA USASichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R China
Dai, G.
Xue, X.
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Sichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R ChinaSichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R China
Xue, X.
Zhou, D.
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Sichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R ChinaSichuan Univ, Dept Neurol, W China Hosp, Chengdu 610064, Peoples R China
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Columbia Univ, Dept Biol Sci, New York, NY 10027 USA
Columbia Univ, Dept Neurosci, New York, NY 10027 USAColumbia Univ, Dept Biol Sci, New York, NY 10027 USA
Yuste, Rafael
Fairhall, Adrienne L.
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Univ Washington, Dept Physiol & Biophys, Seattle, WA 98195 USA
Univ Washington, UW Inst Neuroengn, Seattle, WA 98195 USAColumbia Univ, Dept Biol Sci, New York, NY 10027 USA
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Harvard Med Sch, Athinoula A Martins Ctr Biomed Imaging, Dept Radiol, Massachusetts Gen Hosp, Charlestown, MA USA
Bogazici Univ, Inst Biomed Engn, TR-34684 Istanbul, TurkeyHarvard Med Sch, Athinoula A Martins Ctr Biomed Imaging, Dept Radiol, Massachusetts Gen Hosp, Charlestown, MA USA
Dumlu, Seda Nilgun
Ademoglu, Ahmet
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Bogazici Univ, Inst Biomed Engn, TR-34684 Istanbul, TurkeyHarvard Med Sch, Athinoula A Martins Ctr Biomed Imaging, Dept Radiol, Massachusetts Gen Hosp, Charlestown, MA USA
Ademoglu, Ahmet
Sun, Wei
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Capital Med Univ, Xuanwu Hosp, Dept Neurol, Beijing, Peoples R ChinaHarvard Med Sch, Athinoula A Martins Ctr Biomed Imaging, Dept Radiol, Massachusetts Gen Hosp, Charlestown, MA USA