Temporal clustering analysis of cerebral blood flow activation maps measured by laser speckle contrast imaging
Temporal clustering analysis of cerebral blood flow activation maps measured by laser speckle contrast imaging
复制标题
激光散斑对比成像测量脑血流激活图的时间聚类分析
DOI：
10.1117/1.1891105
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发表时间：
2005-03-01
影响因子：
3.5
通讯作者：
Luo, QM
中科院分区：
文献类型：
--
作者：
Liu, Q;Wang, Z;Luo, QM
脑神经元活动中神经血管耦合的时空协调对于理解脑功能代谢和病理生理机制至关重要。利用激光散斑衬度成像（LSCI）技术，通过一个薄的颅骨在体感皮层映射局部脑血流（CBF）在麻醉大鼠坐骨神经刺激过程中的时空特性。在海量数据集中，来自所有空间位点的信号的时间过程很难分析，特别是对于数千幅图像，其中每幅图像都由数百万像素组成。我们介绍了一个时间聚类分析（TCA）的方法，这被证明是一个有效的方法来分析功能磁共振成像（fMRI）的数据在时间域。CBF激活的时间和位置表明，对侧后肢感觉皮层微流被激活，迅速增加，在发病后不到1秒的2秒电刺激，并在不同的离散区域演变。该模式与激光多普勒血流仪（LDF）和功能磁共振成像（fMRI）获得的结果相似，但略有阐述。我们提出这种组合来研究相互作用的大脑区域，这可能会导致更好地理解大脑包裹和有效连接的性质。(c)2005年，由光学仪器工程师学会（Society of Photo-Optical Instrumentation Engineers）主办。
Temporal and spatial orchestration of neurovascular coupling in brain neuronal activity is crucial for comprehending the mechanism of functional cerebral metabolism and pathophysiology. Laser speckle contrast imaging (LSCI) through a thinned skull over the somatosensory cortex is utilized to map the spatiotemporal characteristics of local cerebral blood flow (CBF) in anesthetized rats during sciatic nerve stimulation. The time course of signals from all spatial loci among the massive dataset is hard to analyze, especially for the thousands of images, each of which composes millions of pixels. We introduce a temporal clustering analysis (TCA) method, which is proven as an efficient method to analyze functional magnetic resonance imaging (fMRI) data in the temporal domain. The timing and location of CBF activation shows that contralateral hindlimb sensory cortical microflow is activated to increase promptly in less than 1 s after the onset of 2-s electrical stimulation and is evolved in different discrete regions. This pattern is similar but slightly elaborated from the results obtained from laser Doppler flowmetry (LDF) and fMRI. We present this combination to investigate interacting brain regions, which might lead to a better understanding of the nature of brain parcellation and effective connectivity. (c) 2005 Society of Photo-Optical Instrumentation Engineers.