Optimizing a hemodynamic model in the human motor cortex

Hoang-Dung Nguyen, K. Hong
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引用次数: 2

Abstract

The paper presents a method for reconstructing the impulse hemodynamic response (HR) of functional near-infrared spectroscopy (fNIRS) data measured in the motor cortex of a human brain. The empirical impulse HRs are averaged across the most active channels of nineteen healthy volunteers. The impulse HR is modeled by a state space equation in which the optimal order of this model is computed by using the Akaike information criterion. The subspace method is utilized to estimate the parameter matrices in the state space model based on the obtained fNIRS-HR to an impulse stimulus. The stability of the reconstructed HR to an impulse stimulus will be investigated. It is worthy to note that the third-order state-space equation can be utilized to describe the impulse HR of the motor cortex in generating the predicted HR to an arbitrary stimulus sequence in an online imaging.
优化人体运动皮层的血流动力学模型
本文提出了一种重建人脑运动皮层功能近红外光谱(fNIRS)数据的脉冲血流动力学响应(HR)的方法。在19名健康志愿者最活跃的通道上平均经验脉冲hr。利用状态空间方程对脉冲HR进行建模,利用赤池信息准则计算该模型的最优阶。利用子空间方法对脉冲刺激下的状态空间模型参数矩阵进行估计。我们将研究重构后的HR在脉冲刺激下的稳定性。值得注意的是,在在线成像中对任意刺激序列生成预测HR时,可以利用三阶状态空间方程来描述运动皮层的脉冲HR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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