Wu Dandan, Chang Chunqi, Yang Jinfeng, Luo Jiutong, Xie Sha, Li Hui
Faculty of Education and Human Development, The Education University of Hong Kong, Hong Kong SAR, China.
School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China.
Children (Basel). 2023 Sep 19;10(9):1574. doi: 10.3390/children10091574.
General linear modeling (GLM) has been widely employed to estimate the hemodynamic changes observed by functional near infrared spectroscopy (fNIRS) technology, which are found to be nonlinear rather than linear, however. Therefore, GLM might not be appropriate for modeling the hemodynamic changes evoked by cognitive processing in developmental neurocognitive studies. There is an urgent need to identify a better statistical model to fit into the nonlinear fNIRS data. This study addressed this need by developing a quadratic equation model to reanalyze the existing fNIRS data ( = 38, = 5.0 years, = 0.69 years, 17 girls) collected from the (DCCS) task and verified the model with a new set of data with the design. First, comparing the quadratic and cubic modeling results of the data indicated that the proposed quadratic equation was better than GLM and cubic regression to model the oxygenated hemoglobin (HbO) changes in this task. Second, applying this quadratic model with the data verified its suitability and indicated that the new design was more effective in identifying the neural correlates of cognitive shifting than the design. These findings jointly indicate that with a quadratic equation might better model the hemodynamic changes in preschoolers during the DCCS task.
一般线性模型（GLM）已被广泛用于估计功能近红外光谱（fNIRS）技术所观察到的血液动力学变化，然而，这些变化被发现是非线性而非线性的。因此，在发育神经认知研究中，GLM可能不适用于对认知加工诱发的血液动力学变化进行建模。迫切需要确定一个更好的统计模型来拟合非线性fNIRS数据。本研究通过开发一个二次方程模型来重新分析从维度变化卡片分类任务（DCCS）收集的现有fNIRS数据（n = 38，M = 5.0岁，SD = 0.69岁，17名女孩），并使用具有新设计的一组新数据对该模型进行了验证。首先，比较DCCS数据的二次和三次建模结果表明，所提出的二次方程在对该任务中氧合血红蛋白（HbO）变化进行建模方面优于GLM和三次回归。其次，将该二次模型应用于新数据验证了其适用性，并表明新设计在识别认知转换的神经相关性方面比DCCS设计更有效。这些发现共同表明，二次方程模型可能能更好地对学龄前儿童在DCCS任务期间的血液动力学变化进行建模。
