Adaptive hemodynamic response function to optimize differential temporal information of hemoglobin signals in functional near-infrared spectroscopy
Adaptive hemodynamic response function to optimize differential temporal information of hemoglobin signals in functional near-infrared spectroscopy
复制标题
自适应血流动力学响应函数优化功能近红外光谱中血红蛋白信号的微分时间信息
DOI：
10.1109/iccme.2012.6275739
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
E. Watanabe
中科院分区：
文献类型：
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作者：
T. Sano;D. Tsuzuki;I. Dan;H. Dan;H. Yokota;K. Oguro;E. Watanabe
功能近红外光谱（fNIRS）首次应用于人脑功能评估已有近二十年的历史。它现在已经被广泛接受为一种常见的功能成像方式，每年有100多篇与fnirs相关的科学文献发表。然而，通用的近红外光谱数据分析方法尚未建立。虽然不常被提及，但fNIRS数据的时间分析也提出了技术挑战：如何处理含氧和脱氧血红蛋白（Hb）信号。与功能磁共振成像（fMRI）类似，通常使用回归到典型血流动力学反应函数（HRF）的一般线性模型（GLM）。然而，Hb参数不一定遵循与BOLD信号相同的行为：相反，我们经常遇到两个Hb信号的不同时间分布。本文介绍了自适应方法来寻找最优HRF用于近红外光谱数据的时间分析。在公开对抗命名任务中，将GLM与时间优化HRF的回归应用于功能激活数据，发现氧- hb和脱氧- hb信号的时间结构不同，后者具有较大的时间延迟。然而，当使用时间优化的HRF时，这两个参数产生了合理兼容的激活模式，包括左半球经典语言相关区域的激活。这些结果表明，GLM与回归到自适应HRF的潜在使用，以充分利用两个Hb参数的时间信息。
It has been nearly twenty years since functional near-infrared spectroscopy (fNIRS) was first applied to assessing human brain functions. It has now become widely accepted as a common functional imaging modality with more than 100 publications of fNIRS-related scientific literature annually. However, universal analytical methods for fNIRS data have yet to be established. Although not frequently mentioned, temporal analysis of fNIRS data also poses a technical challenge: how oxygenated and deoxygenated hemoglobin (Hb) signals should be treated. With its analogy to fMRI, a general linear model (GLM) with regression to a canonical hemodynamic response function (HRF) has often been used. However, the Hb parameters do not necessarily follow the same behavior as the BOLD signal: rather, we often encounter different temporal profiles for the two Hb signals. Here we introduce adaptive methods to find the optimal HRF for temporal analysis of fNIRS data. Application of the GLM with regression to a temporally optimized HRF on the functional activation data during an overt confrontation naming task revealed different temporal structures for oxy-Hb and deoxy-Hb signals, with the latter having substantial temporal delay. However, when the temporally optimized HRF was used, the two parameters yielded reasonably compatible activation patterns including activation in classical language-related areas of the left hemisphere. These results suggest the potential use of the GLM with regression to an adaptive HRF to fully utilize temporal information of both Hb parameters.