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Proceedings Paper

Temporal clustering analysis of cerebral blood flow activation maps measured by laser speckle contrast imaging
Author(s): Zheng Wang; Qingming Luo
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Paper Abstract

Temporal and spatial orchestration of neurovascular coupling in the brain neuronal activity is crucial for us to comprehend mechanism of functional cerebral metabolism and pathophysiology. Laser speckle contrast imaging (LSCI) through a thinned skull over the somatosensory cortex was utilized to map the spatiotemporal characteristics of local cerebral blood flow (CBF) in anesthetized rats during sciatic nerve stimulation. Since 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 of millions of pixels, we introduced a temporal clustering analysis (TCA) method, which was proved as an efficient method to analyze functional magnetic resonance imaging (fMRI) data in the temporal domain. The timing and location of CBF activation showed that contralateral hindlimb sensory cortical microflow was activated to increase promptly in less than 1 s after the onset of 2 s electrical stimulation then evolved in different discrete regions. This pattern is similar but slightly elaborated to the results obtained from laser Doppler flowmetry (LDF) and fMRI. We presented this combination to investigate interacting brain regions and provided network-level analyses, which might possibly lead to a better understanding of the nature of brain parcellation and effective connectivity.

Paper Details

Date Published: 28 May 2004
PDF: 9 pages
Proc. SPIE 5330, Complex Dynamics, Fluctuations, Chaos, and Fractals in Biomedical Photonics, (28 May 2004); doi: 10.1117/12.535380
Show Author Affiliations
Zheng Wang, Huazhong Univ. of Science and Technology (China)
Qingming Luo, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5330:
Complex Dynamics, Fluctuations, Chaos, and Fractals in Biomedical Photonics
Valery V. Tuchin, Editor(s)

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