Comparison of topological properties of functional brain networks with graph theory in temporal lobe epilepsy with different duration of disease.

Comparison of topological properties of functional brain networks with graph theory in temporal lobe epilepsy with different duration of disease.
复制标题

图论比较不同病程颞叶癫痫功能脑网络拓扑特性

DOI:
10.21037/atm-20-6823
复制
发表时间:
2020-11
影响因子:
--
通讯作者:
Zheng J
Zheng J
中科院分区:
医学4区
文献类型:
--
作者:
Liang X;Pang X;Liu J;Zhao J;Yu L;Zheng J

文献摘要

参考文献

相似文献

Background Our study was performed to measure the alterations in topological properties of the functional brain network of temporal lobe epilepsy (TLE) at different durations, exploring the potential progression and neuropathophysiological mechanisms of TLE. Methods Fifty-eight subjects, including 17 TLE patients with a disease duration of ≤5 years (TLE-SD), 20 TLE patients with a disease duration of >5 years (TLE-LD), and 21 healthy controls firstly underwent the Attention Network Test (ANT) to assess the alertness function and received the resting-state functional magnetic resonance imaging (rs-fMRI). Next, a functional brain network was set up, and then the related graph of theoretical network analysis was conducted. Finally, the correlation between network property and the neuropsychological score was analyzed. Results The global and local efficiencies of functional brain networks in TLE-SD patients significantly decreased and tended toward random alterations. Also, the degree centrality (DC) and nodal efficiency (Ne) in right medial pre-frontal thalamus (mPFtha) and right rostral temporal thalamus (rTtha) of TLE-SD patients significantly reduced. Further analysis showed that alertness was positively associated with the characteristic path length but negatively related to the global and local efficiencies in TLE-SD patients; alertness was negatively related to the Ne of mPFtha in TLE-LD patients. Conclusions Our study showed that the functional brain network of TLE patients might undergo compensatory reorganization as the disease progresses, which provides useful insights into the progression and mechanism of TLE.
DOI: 10.1212/wnl.0000000000006564
发表时间: 2018-11-27
期刊: Neurology
影响因子: 9.9
作者:
Hughes DM;Bonnett LJ;Czanner G;Komárek A;Marson AG;García-Fiñana M
通讯作者: García-Fiñana M
人脑网络组图谱:基于连接架构的新大脑图谱
DOI: 10.1093/cercor/bhw157
发表时间: 2016-08
期刊: Cerebral cortex (New York, N.Y. : 1991)
影响因子: --
作者:
Fan L;Li H;Zhuo J;Zhang Y;Wang J;Chen L;Yang Z;Chu C;Xie S;Laird AR;Fox PT;Eickhoff SB;Yu C;Jiang T
通讯作者: Jiang T
DOI: 10.1192/bjp.bp.114.156588
发表时间: 2016-06-01
影响因子: 10.5
作者:
Dominguez, Juan F.;Stout, Julie C.;Georgiou-Karistianis, Nellie
通讯作者: Georgiou-Karistianis, Nellie
DOI: 10.1016/j.neuroimage.2005.02.004
发表时间: 2005-06-01
期刊: NEUROIMAGE
影响因子: 5.7
作者:
Fan, J;McCandliss, BD;Posner, MI
通讯作者: Posner, MI
DOI: 10.1111/j.1528-1167.2006.00556.x
发表时间: 2006-08-01
期刊: EPILEPSIA
影响因子: 5.6
作者:
Cheung, Mei-chun;Chan, Agnes S.;Lam, Wan
通讯作者: Lam, Wan