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Planning for selective amygdalohippocampectomy involving less neuronal fiber damage based on brain connectivity using tractography
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作者 Seung-Hak Lee Mansu Kim Hyunjin Park 《Neural Regeneration Research》 SCIE CAS CSCD 2015年第7期1107-1112,共6页
Temporal lobe resection is an important treatment option for epilepsy that involves removal of potentially essential brain regions. Selective amygdalohippocampectomy is a widely performed temporal lobe surgery. We sug... Temporal lobe resection is an important treatment option for epilepsy that involves removal of potentially essential brain regions. Selective amygdalohippocampectomy is a widely performed temporal lobe surgery. We suggest starting the incision for selective amygdalohippocampectomy at the inferior temporal gyrus based on diffusion magnetic resonance imaging(MRI) tractography. Diffusion MRI data from 20 normal participants were obtained from Parkinson's Progression Markers Initiative(PPMI) database(www.ppmi-info.org). A tractography algorithm was applied to extract neuronal fiber information for the temporal lobe, hippocampus, and amygdala. Fiber information was analyzed in terms of the number of fibers and betweenness centrality. Distances between starting incisions and surgical target regions were also considered to explore the length of the surgical path. Middle temporal and superior temporal gyrus regions have higher connectivity values than the inferior temporal gyrus and thus are not good candidates for starting the incision. The distances between inferior temporal gyrus and surgical target regions were shorter than those between middle temporal gyrus and target regions. Thus, the inferior temporal gyrus is a good candidate for starting the incision. Starting the incision from the inferior temporal gyrus would spare the important(in terms of betweenness centrality values) middle region and shorten the distance to the target regions of the hippocampus and amygdala. 展开更多
关键词 nerve regeneration epilepsy selective amygdalohippocampectomy diffusion tensor imaging tractography connectivity betweenness centrality magnetic resonance imaging network analysis temporal lobe surgery neuronal fibers neural regeneration
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Exploring link generation in a temporal evolution network for human mobility
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作者 SHI Yan SUN WangDong +3 位作者 CHEN Bin ZHOU XiaoJuan CHEN ShanZhi WANG ShengFeng 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2016年第1期16-21,共6页
The prevalence of mobile devices has spurred human mobility to be applied in mobile networking and communications by using network science, in which the temporal evolution of a network topology is of great importance ... The prevalence of mobile devices has spurred human mobility to be applied in mobile networking and communications by using network science, in which the temporal evolution of a network topology is of great importance for protocol design and performance analysis. This paper focuses on link generation in a temporal evolution network. Based on observations revealing the strong correlation between the connection patterns of different time periods, a link generation potential based on historical connections is proposed in this paper, aiming to provide a method for making topological predictions with less randomness. Using MIT Reality dataset, an evaluation of the accuracy of the proposed method was conducted. The experimental results demonstrate the proposal's adequacy in terms of its accuracy. 展开更多
关键词 link generation temporal evolution network connection human mobility network science
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