Detection of irregular, transient fMRI activity in normal controls using 2dTCA: comparison to event-related analysis using known timing.
Detection of irregular, transient fMRI activity in normal controls using 2dTCA: comparison to event-related analysis using known timing.
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DOI：
10.1002/hbm.20760
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发表时间：
2009-10
影响因子：
4.8
通讯作者：
Gore, John C.
中科院分区：
文献类型：
--
作者：
Morgan, Victoria L.;Gore, John C.
当一系列图像采集过程中事件自发发生时，无法采用传统的MRI功能激活检测建模方法进行检测。二维时间聚类算法（2dTCA）已被证明可以在不使用已知事件时间的情况下准确地检测计算机模拟中的随机瞬态激活。在这项研究中，我们应用2dTCA技术检测了12名正常对照者的视觉、听觉和运动皮质稀疏、不规则、短暂激活的时间和空间位置。实验采用一种和两种独立的刺激类型。使用已知时间的事件相关激活与使用2dTCA检测时间的事件相关激活在个体和跨组中进行了比较。2dTCA算法检测每个受试者的所有呈现刺激的激活。当使用激活图之间的相关性测量与块设计结果进行比较时，在所有受试者中使用已知时间的2dTCA激活图和事件相关图之间没有发现显着差异。因此，2dTCA有潜力成为一种更准确、更实用的方法，用于fMRI检测自发、瞬态事件。
When events occur spontaneously during the acquisition of a series of images, traditional modeling methods for detecting functional MRI activation detection cannot be employed. The two-dimensional Temporal Clustering Algorithm, 2dTCA, has been shown to accurately detect random, transient activations in computer simulations without the use of known event timings. In this study we applied the 2dTCA technique to detect the timings and spatial locations of sparse, irregular, transient activations of the visual, auditory and motor cortices in 12 normal controls. Experiments with one and two independent types of stimuli were employed. Event-related activation using known timing was compared to event-related activation using 2dTCA detected timing in individuals and across groups. The 2dTCA algorithm detected the activation from all presented stimuli in every subject. When compared to block-design results using a measure of correlation between activation maps, no significant difference was found between the 2dTCA activation maps and the event-related maps using known timing across all subjects. Therefore, 2dTCA has the potential to be an accurate and more practical method for detection of spontaneous, transient events using fMRI.
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