Long-term effects of temporal lobe epilepsy on local neural networks: a graph theoretical analysis of corticography recordings.

Long-term effects of temporal lobe epilepsy on local neural networks: a graph theoretical analysis of corticography recordings.
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DOI:
10.1371/journal.pone.0008081
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发表时间:
2009-11-26
期刊:
影响因子:
3.7
通讯作者:
Reijneveld JC
Reijneveld JC
中科院分区:
综合性期刊3区
文献类型:
--
作者:
van Dellen E;Douw L;Baayen JC;Heimans JJ;Ponten SC;Vandertop WP;Velis DN;Stam CJ;Reijneveld JC

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药物耐药性颞叶癫痫 (TLE) 通常在某个时候通过手术干预进行治疗。由于大多数医生认为癫痫手术是最后的手段,因此手术前长期癫痫发作的情况并不少见。目前对于持续 TLE 对神经功能的影响知之甚少。更好地了解这些影响可能会影响手术干预的时机。功能连接(空间分布的大脑区域之间的相互作用)和网络结构(信息处理的整合和分离)被认为对于优化大脑功能至关重要。我们报告 TLE 持续时间对颞叶功能连接和网络特征的影响。通过使用相位滞后指数 (PLI) 对 27 名 TLE 患者进行发作间期皮质电图 (ECoG) 记录来评估手术时颞叶的功能连接。图(抽象网络表示)是根据 PLI 矩阵重建的,并通过聚类系数 C(局部聚类)、路径长度 L(整体网络互连性)和“小世界指数”S(网络配置)来表征。功能连接性(平均 PLI)、聚类系数和小世界指数与宽频带(0.5-48 Hz)内的 TLE 持续时间呈负相关。 TLE 病史较长的患者的颞叶功能连接较低,并且较长的 TLE 持续时间与更多的随机网络配置相关。我们的研究结果表明,随着时间的推移,TLE 患者的神经网络变得更加病态,这可能是由于与长期病变性癫痫相关的颞叶变化所致。
Pharmaco-resistant temporal lobe epilepsy (TLE) is often treated with surgical intervention at some point. As epilepsy surgery is considered a last resort by most physicians, a long history of epileptic seizures prior to surgery is not uncommon. Little is known about the effects of ongoing TLE on neural functioning. A better understanding of these effects might influence the moment of surgical intervention. Functional connectivity (interaction between spatially distributed brain areas) and network structure (integration and segregation of information processing) are thought to be essential for optimal brain functioning. We report on the impact of TLE duration on temporal lobe functional connectivity and network characteristics. Functional connectivity of the temporal lobe at the time of surgery was assessed by means of interictal electrocorticography (ECoG) recordings of 27 TLE patients by using the phase lag index (PLI). Graphs (abstract network representations) were reconstructed from the PLI matrix and characterized by the clustering coefficient C (local clustering), the path length L (overall network interconnectedness), and the “small world index” S (network configuration). Functional connectivity (average PLI), clustering coefficients, and the small world index were negatively correlated with TLE duration in the broad frequency band (0.5–48 Hz). Temporal lobe functional connectivity is lower in patients with longer TLE history, and longer TLE duration is correlated with more random network configuration. Our findings suggest that the neural networks of TLE patients become more pathological over time, possibly due to temporal lobe changes associated with long-standing lesional epilepsy.
DOI: 10.1371/journal.pone.0002051
发表时间: 2008-04-30
期刊: PloS one
影响因子: 3.7
作者:
Humphries MD;Gurney K
通讯作者: Gurney K
DOI: 10.1186/1753-4631-3-9
发表时间: 2009-08-23
期刊: Nonlinear biomedical physics
影响因子: --
作者:
Bosma I;Reijneveld JC;Klein M;Douw L;van Dijk BW;Heimans JJ;Stam CJ
通讯作者: Stam CJ
DOI: 10.1212/01.wnl.0000169066.46912.fa
发表时间: 2005-07-26
期刊: NEUROLOGY
影响因子: 9.9
作者:
Bernasconi, N;Natsume, J;Bernasconi, A
通讯作者: Bernasconi, A
DOI: 10.1111/j.0013-9580.2003.12005.x
发表时间: 2003-01-01
期刊: EPILEPSIA
影响因子: 5.6
作者:
da Silva, FL;Blanes, W;Velis, DN
通讯作者: Velis, DN
DOI: 10.1016/j.clinph.2006.05.018
发表时间: 2006-09-01
影响因子: 4.7
作者:
Bartolomei, Fabrice;Bosma, Ingeborg;Stam, Cornelis J.
通讯作者: Stam, Cornelis J.