Paper
8 December 2003 Characterization of cerebral blood flow response to sciatic nerve stimulation using laser speckle imaging
Author Affiliations +
Proceedings Volume 5254, Third International Conference on Photonics and Imaging in Biology and Medicine; (2003) https://doi.org/10.1117/12.546573
Event: Third International Conference on Photonics and Imaging in Biology and Medicine, 2003, Wuhan, China
Abstract
Laser speckle imaging (LSI) through a thinned skull over the somatosensory cortex was utilized to map the spatiotemporal characteristics of local cerebral flood flow (CBF) in anesthetized rats during sciatic nerve stimulation. Region-of-interest selection and Temporal clustering analysis (TCA) method was illustrated on the dataset from high-resolution optical imaging to detect the timing and location of CBF activation. 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. Individual arteries, veins and capillaries in different diameters were activated with the time going. This pattern is similar but slightly elaborated to the results obtained from laser Doppler flowmetry (LDF), functional magnetic resonance imaging (fMRI). We presented this combination to characterize the behaviors of CBF response to neuronal activity, which might possibly lead to a better understanding of neurovascular coupling and fMRI signals.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zheng Wang, Qingming Luo, Haiying Cheng, and Qiang Lu "Characterization of cerebral blood flow response to sciatic nerve stimulation using laser speckle imaging", Proc. SPIE 5254, Third International Conference on Photonics and Imaging in Biology and Medicine, (8 December 2003); https://doi.org/10.1117/12.546573
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KEYWORDS
Nerve

Blood circulation

Capillaries

Functional magnetic resonance imaging

Blood

Brain

Cerebral blood flow

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