Quantitative evaluation of activation state in functional brain imaging

Brain Topography
Zhenghui HuPengcheng Shi

Abstract

Neuronal activity can evoke the hemodynamic change that gives rise to the observed functional magnetic resonance imaging (fMRI) signal. These increases are also regulated by the resting blood volume fraction (V (0)) associated with regional vasculature. The activation locus detected by means of the change in the blood-oxygen-level-dependent (BOLD) signal intensity thereby may deviate from the actual active site due to varied vascular density in the cortex. Furthermore, conventional detection techniques evaluate the statistical significance of the hemodynamic observations. In this sense, the significance level relies not only upon the intensity of the BOLD signal change, but also upon the spatially inhomogeneous fMRI noise distribution that complicates the expression of the results. In this paper, we propose a quantitative strategy for the calibration of activation states to address these challenging problems. The quantitative assessment is based on the estimated neuronal efficacy parameter [Formula: see text] of the hemodynamic model in a voxel-by-voxel way. It is partly immune to the inhomogeneous fMRI noise by virtue of the strength of the optimization strategy. Moreover, it is easy to incorporate regional vascular informatio...Continue Reading

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Citations

Sep 22, 2012·Computational and Mathematical Methods in Medicine·Cong Liu, Zhenghui Hu
Feb 22, 2016·Biomedical Engineering Online·Yan ZhangZhenghui Hu
Jun 13, 2012·Medical Image Analysis·Zhenghui HuPengcheng Shi
Sep 2, 2016·PloS One·Linlin ZhuJieyao Wei

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