Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models.
Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models.
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DOI：
10.1371/journal.pcbi.1004564
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发表时间：
2015-10
影响因子：
4.3
通讯作者：
Raj A
中科院分区：
文献类型：
--
作者：
Abdelnour F;Mueller S;Raj A
内侧颞叶癫痫(TLE)以致痫活动的刻板起源和扩散模式为特征，在磁共振成像(MRI)上反映在神经元萎缩的刻板地形图分布上。癫痫的活动和萎缩的扩散似乎都伴随着白质的连接。我们从第一性原理出发，通过两个简单的一阶网络扩散模型模拟了TLE中活动和萎缩的网络扩散。在一种模型中，萎缩分布被模拟为致痫活动传播的简单结果，而在另一种模型中，萎缩分布被模拟为渐进性退化过程。我们发现，该网络模型能够很好地再现两组癫痫患者的局部灰质体积萎缩分布：29例TLE患者合并内侧颞叶硬化(TLE-MTS)，50例MRI表现正常的TLE患者(TLE-NO)。组水平的统计验证表明与测量的萎缩高度相关(TLE-MTS的R=0.586，TLE-NO的R=0.283)。我们得出结论：萎缩扩散模型优于多动扩散模型。这些结果为未来所提出的模型在个体患者上的临床应用铺平了道路，包括估计未来萎缩的扩散，识别癫痫发作起始区和手术计划。内侧颞叶癫痫是局灶性癫痫最常见的形式。在这项工作中，我们研究了两个描述癫痫动力学的模型。在第一个模型中，癫痫发作活动的海马区外扩散主要是萎缩的明显地形图分布的主要原因。第二个假设是，海马神经元的丢失导致远端去传入，随后是连接区域的渐进性神经元丢失。海马区连接的贫乏可以降低远程电路的复杂性。这项工作的目的是建立基于上述假设的区域萎缩动力学的网络理论模型，并从统计学上确定哪个模型更好地描述真实TLE萎缩的空间模式。这两个模型都是基于简单的图论模型，即影响传播是一个网络扩散过程，制定在大脑结构连接网络上。
Mesial temporal lobe epilepsy (TLE) is characterized by stereotyped origination and spread pattern of epileptogenic activity, which is reflected in stereotyped topographic distribution of neuronal atrophy on magnetic resonance imaging (MRI). Both epileptogenic activity and atrophy spread appear to follow white matter connections. We model the networked spread of activity and atrophy in TLE from first principles via two simple first order network diffusion models. Atrophy distribution is modeled as a simple consequence of the propagation of epileptogenic activity in one model, and as a progressive degenerative process in the other. We show that the network models closely reproduce the regional volumetric gray matter atrophy distribution of two epilepsy cohorts: 29 TLE subjects with medial temporal sclerosis (TLE-MTS), and 50 TLE subjects with normal appearance on MRI (TLE-no). Statistical validation at the group level suggests high correlation with measured atrophy (R = 0.586 for TLE-MTS, R = 0.283 for TLE-no). We conclude that atrophy spread model out-performs the hyperactivity spread model. These results pave the way for future clinical application of the proposed model on individual patients, including estimating future spread of atrophy, identification of seizure onset zones and surgical planning. Medial temporal lobe epilepsy is the most common form of focal epilepsy. In this work we investigate two models describing the dynamics of epilepsy. In the first model the extrahippocampal spread of seizure activity is primarily responsible for the apparent topographic distribution of atrophy. The second hypothesis is that loss of hippocampal neurons leads to remote deafferentation followed by gradual and progressive neuronal loss in connected regions. Impoverishment of hippocampal connections can lead to reduced complexity of remote circuitry. The purpose of this work is to develop network theoretic models of regional atrophy dynamics resulting from each of the above hypotheses, and to statistically determine which model is a better descriptor of the spatial patterning of real TLE atrophy. Both models are based on simple graph theoretic models of influence spread as a network diffusion process, enacted on the brains structural connectivity network.