Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

U-Shape by Quadratic Equation: A Best-fit for Modelling Hemodynamic Changes in the DCCS Task

Version 1 : Received: 16 July 2021 / Approved: 19 July 2021 / Online: 19 July 2021 (15:05:38 CEST)

How to cite: Li, H.; Wu, D.; Yang, J.; Xie, S.; Luo, J.; Chang, C. U-Shape by Quadratic Equation: A Best-fit for Modelling Hemodynamic Changes in the DCCS Task. Preprints 2021, 2021070417 (doi: 10.20944/preprints202107.0417.v1). Li, H.; Wu, D.; Yang, J.; Xie, S.; Luo, J.; Chang, C. U-Shape by Quadratic Equation: A Best-fit for Modelling Hemodynamic Changes in the DCCS Task. Preprints 2021, 2021070417 (doi: 10.20944/preprints202107.0417.v1).

Abstract

General Linear Modelling (GLM) has been widely employed to estimate the hemodynamic changes evoked by cognitive processing, which are more likely to be nonlinear than linear. First, this study re-analyzed the fNIRS data (N = 38, Mage = 5.0 years, SD = 0.69 years, 17 girls) collected in the Mixed-Order Design Dimensional Change Card Sort (DCCS) task. The results indicated that the quadratic equation was better than GLM to model HbO changes in this task. Second, analysis of a new set of data indicated that the Habit-DisHabit design of DCCS was more effective in identifying the neural correlates of cognitive shifting than the Mixed-Order Design. Third, this study found that the Non-users were more attentive and engaged than the Heavy-users, with a slower but more steady increase of brain activation in BA8 and BA9.

Subject Areas

Pad use; Executive Function; fNIRS Evidence; Dimensional Change Card Sort Task (DCCS) task; Preschoolers

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