Paper
29 July 2003 Detection of time window of cerebral blood flow response induced by sciatic nerve stimulation using temporal clustering analysis
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Abstract
In many studies on functional neuroimaging, change in local cerebral blood flow (CBF) induced by sensory stimulation is used as a substitutive marker for change in cortical neuronal activity by Roy and Sherrington’s postulation. The purpose of this study is to evaluate the close temporal relationship between evoked local CBF and neuronal activity through utilizing temporal clustering analysis (TCA) method to analyze the dataset obtained by high-resolution laser speckle imaging (LSI). We mapped a relatively large somatosensory area of cerebral cortex in successively and followed variations of cerebral blood flow under sciatic nerve stimulation in anesthetized rats using LSI technique. Then we illustrated TCA method on the optical imaging signals and investigated the temporal characteristics of CBF activation. Contralateral somatosensory cortical microflow was activated to increase promptly in less than 1 second after the onset of 2 seconds electrical stimulation (pulse parameters: 0.5ms, 5Hz, 350mV). The data of the present study may possibly shed light on the development question of functional magnetic resonance imaging (fMRI) whether the ultimate spatial resolution attainable by fMRI is limited by the physiology of the cerebral blood flow response to activation or by the hardware and signal-to-noise ratio.
© (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 Shaoqun Zeng "Detection of time window of cerebral blood flow response induced by sciatic nerve stimulation using temporal clustering analysis", Proc. SPIE 4955, Optical Tomography and Spectroscopy of Tissue V, (29 July 2003); https://doi.org/10.1117/12.478128
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KEYWORDS
Brain

Nerve

Cerebral blood flow

Functional magnetic resonance imaging

Neuroimaging

Optical imaging

Signal to noise ratio

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