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Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy

BACKGROUND: Frontal lobe epilepsy (FLE) is the second most common type of focal epilepsy, however, imaging studies of FLE have been far less than Temporal lobe epilepsy (TLE) and the structural findings were not consistent in previous literature. OBJECT: Investigate the changes in cortical thickness...

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Autores principales: Liu, Yin, Li, Quanji, Yi, Dali, Duan, Junhong, Zhang, Qingxia, Huang, Yunchen, He, Haibo, Liao, Yunjie, Song, Zhi, Deng, Lingling, Wang, Wei, Liu, Ding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196002/
https://www.ncbi.nlm.nih.gov/pubmed/37214387
http://dx.doi.org/10.3389/fnins.2023.1136110
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author Liu, Yin
Li, Quanji
Yi, Dali
Duan, Junhong
Zhang, Qingxia
Huang, Yunchen
He, Haibo
Liao, Yunjie
Song, Zhi
Deng, Lingling
Wang, Wei
Liu, Ding
author_facet Liu, Yin
Li, Quanji
Yi, Dali
Duan, Junhong
Zhang, Qingxia
Huang, Yunchen
He, Haibo
Liao, Yunjie
Song, Zhi
Deng, Lingling
Wang, Wei
Liu, Ding
author_sort Liu, Yin
collection PubMed
description BACKGROUND: Frontal lobe epilepsy (FLE) is the second most common type of focal epilepsy, however, imaging studies of FLE have been far less than Temporal lobe epilepsy (TLE) and the structural findings were not consistent in previous literature. OBJECT: Investigate the changes in cortical thickness in patients with FLE and the alteration of the structural covariance networks (SCNs) of cortical thickness with graph-theory. METHOD: Thirty patients with FLE (18 males/12 females; 28.33 ± 11.81 years) and 27 demographically matched controls (15 males/12 females; 29.22 ± 9.73 years) were included in this study with high-resolution structural brain MRI scans. The cortical thickness was calculated, and structural covariance network (SCN) of cortical thickness were reconstructed using 68 × 68 matrix and analyzed with graph-theory approach. RESULT: Cortical thickness was not significantly different between two groups, but path length and node betweenness were significantly increased in patients with FLE, and the regional network alterations were significantly changed in right precentral gyrus and right temporal pole (FDR corrected, p < 0.05). Comparing to HC group, network hubs were decreased and shifted away from frontal lobe. CONCLUSION: The topological properties of cortical thickness covariance network were significantly altered in patients with FLE, even without obvious surface-based morphological damage. Graph-theory based SCN analysis may provide sensitive neuroanatomical biomarkers for FLE.
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spelling pubmed-101960022023-05-20 Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy Liu, Yin Li, Quanji Yi, Dali Duan, Junhong Zhang, Qingxia Huang, Yunchen He, Haibo Liao, Yunjie Song, Zhi Deng, Lingling Wang, Wei Liu, Ding Front Neurosci Neuroscience BACKGROUND: Frontal lobe epilepsy (FLE) is the second most common type of focal epilepsy, however, imaging studies of FLE have been far less than Temporal lobe epilepsy (TLE) and the structural findings were not consistent in previous literature. OBJECT: Investigate the changes in cortical thickness in patients with FLE and the alteration of the structural covariance networks (SCNs) of cortical thickness with graph-theory. METHOD: Thirty patients with FLE (18 males/12 females; 28.33 ± 11.81 years) and 27 demographically matched controls (15 males/12 females; 29.22 ± 9.73 years) were included in this study with high-resolution structural brain MRI scans. The cortical thickness was calculated, and structural covariance network (SCN) of cortical thickness were reconstructed using 68 × 68 matrix and analyzed with graph-theory approach. RESULT: Cortical thickness was not significantly different between two groups, but path length and node betweenness were significantly increased in patients with FLE, and the regional network alterations were significantly changed in right precentral gyrus and right temporal pole (FDR corrected, p < 0.05). Comparing to HC group, network hubs were decreased and shifted away from frontal lobe. CONCLUSION: The topological properties of cortical thickness covariance network were significantly altered in patients with FLE, even without obvious surface-based morphological damage. Graph-theory based SCN analysis may provide sensitive neuroanatomical biomarkers for FLE. Frontiers Media S.A. 2023-05-05 /pmc/articles/PMC10196002/ /pubmed/37214387 http://dx.doi.org/10.3389/fnins.2023.1136110 Text en Copyright © 2023 Liu, Li, Yi, Duan, Zhang, Huang, He, Liao, Song, Deng, Wang and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Liu, Yin
Li, Quanji
Yi, Dali
Duan, Junhong
Zhang, Qingxia
Huang, Yunchen
He, Haibo
Liao, Yunjie
Song, Zhi
Deng, Lingling
Wang, Wei
Liu, Ding
Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy
title Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy
title_full Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy
title_fullStr Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy
title_full_unstemmed Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy
title_short Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy
title_sort topological abnormality of structural covariance network in mri-negative frontal lobe epilepsy
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196002/
https://www.ncbi.nlm.nih.gov/pubmed/37214387
http://dx.doi.org/10.3389/fnins.2023.1136110
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