Cluster analysis detection of functional MRI activity in temporal lobe epilepsy
Cluster analysis detection of functional MRI activity in temporal lobe epilepsy
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DOI：
10.1016/j.eplepsyres.2007.06.008
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发表时间：
2007-08-01
影响因子：
2.2
通讯作者：
Abou-Khalil, Basset
中科院分区：
文献类型：
--
作者：
Morgan, Victoria L.;Gore, John C.;Abou-Khalil, Basset
目的：这项初步研究的目的是评估一种新的聚类分析方法 2dTCA 的能力，该方法用于识别和表征颞叶癫痫 (TLE) 中 fMRI BOLD 信号的峰值波动和不带 EEG 的颞叶癫痫 (TLE) 的默认模式网络。方法：在 17 名 TLE 患者中采集 BOLD fMRI 图像，并与 EEG 进行比较。通过 2dTCA 估计显着瞬时 BOLD 峰值的时间，并确定激活图。结果：16 名受试者 (94%) 表现出明显的颞叶激活。 76.4%（13 名患者）存在内侧颞叶激活。 64.7%（11 名患者）检测到脑电图病灶同侧颞叶或岛叶激活，29.4%（5 名患者）检测到双侧颞叶或岛叶激活，没有检测到仅在脑电图病灶对侧激活。 11 名受试者在所谓的默认模式网络中表现出激活，包括后扣带皮层、双侧后顶叶皮层，有时还包括前扣带皮层。结论：这些结果表明，与之前使用其他方法报道的相比，TLE 患者中颞叶和默认模式区域出现显着正向 BOLD 波动的比例更高。这些波动似乎与生理相关，表明神经活动增加，这可能无法在头皮脑电图上检测到，但对于理解癫痫放电的机制和起源可能很重要。 (c) 2007 Elsevier B.V. 保留所有权利。
Purpose: The objective of this pilot study was to evaluate the ability of a novel method of cluster analysis, 2dTCA, for identifying and characterizing peak fluctuations in fMRI BOLD signals in the temporal lobes and the default-mode network in temporal lobe epilepsy (TLE) without EEG.Methods: BOLD fMRI images were acquired in 17 TLE patients and compared to EEG. The timing of significant transient BOLD peaks was estimated by 2dTCA, and activation maps were determined.Results: Sixteen subjects (94%) showed apparent temporal lobe activation. Mesial temporal activation was present in 76.4% (13 patients). Temporal lobe or insula activations were detected ipsitateral to the EEG focus in 64.7% (11 patients), bilaterally with no predominance in 29.4% (5 patients), and exclusively contralateral to the EEG focus in none. Eleven subjects showed activation in the so-called default-mode network including posterior cingulate, bilateral posterior parietal cortex, and sometimes anterior cingulate cortex.Conclusions: These results demonstrate significant positive BOLD fluctuations in the temporal lobes and default-mode regions in a higher percentage of TLE patients than previously reported using other methods. These fluctuations appear physiologically relevant and suggest increased neural activity which may not be detected on scalp EEG, but which may be important in understanding the mechanisms and origins of epileptic discharges. (c) 2007 Elsevier B.V. All rights reserved.