<i<Habit-DisHabit</i< Design with a Quadratic Equation: A Better Model of the Hemodynamic Changes in Preschoolers during the Dimension Change Card Sorting Task

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 e...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Dandan Wu [verfasserIn] Chunqi Chang [verfasserIn] Jinfeng Yang [verfasserIn] Jiutong Luo [verfasserIn] Sha Xie [verfasserIn] Hui Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	cognitive shifting fNIRS evidence modeling hemodynamic changes preschoolers

Übergeordnetes Werk:	In: Children - MDPI AG, 2014, 10(2023), 1574, p 1574
Übergeordnetes Werk:	volume:10 ; year:2023 ; number:1574, p 1574

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/children10091574

Katalog-ID:	DOAJ093433336

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520			\|a 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 (<i<N</i< = 38, <i<M<sub<age</sub<</i< = 5.0 years, <i<SD</i< = 0.69 years, 17 girls) collected from the <i<mixed-order design Dimensional Change Card Sort</i< (DCCS) task and verified the model with a new set of data with the <i<Habit-DisHabit</i< design. First, comparing the quadratic and cubic modeling results of the <i<mixed-order design</i< 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 <i<Habit-DisHabit design</i< data verified its suitability and indicated that the new design was more effective in identifying the neural correlates of cognitive shifting than the <i<mixed-order</i< design. These findings jointly indicate that <i<Habit-DisHabit Design</i< with a quadratic equation might better model the hemodynamic changes in preschoolers during the DCCS task.
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callnumber-first	R - Medicine
author	Dandan Wu
spellingShingle	Dandan Wu misc RJ1-570 misc cognitive shifting misc fNIRS evidence misc modeling hemodynamic changes misc <i<dimensional change card sort</i< (<i<DCCS</i<) task misc preschoolers misc Pediatrics <i<Habit-DisHabit</i< Design with a Quadratic Equation: A Better Model of the Hemodynamic Changes in Preschoolers during the Dimension Change Card Sorting Task
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topic_title	RJ1-570 <i<Habit-DisHabit</i< Design with a Quadratic Equation: A Better Model of the Hemodynamic Changes in Preschoolers during the Dimension Change Card Sorting Task cognitive shifting fNIRS evidence modeling hemodynamic changes <i<dimensional change card sort</i< (<i<DCCS</i<) task preschoolers
topic	misc RJ1-570 misc cognitive shifting misc fNIRS evidence misc modeling hemodynamic changes misc <i<dimensional change card sort</i< (<i<DCCS</i<) task misc preschoolers misc Pediatrics
topic_unstemmed	misc RJ1-570 misc cognitive shifting misc fNIRS evidence misc modeling hemodynamic changes misc <i<dimensional change card sort</i< (<i<DCCS</i<) task misc preschoolers misc Pediatrics
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title	<i<Habit-DisHabit</i< Design with a Quadratic Equation: A Better Model of the Hemodynamic Changes in Preschoolers during the Dimension Change Card Sorting Task
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title_full	<i<Habit-DisHabit</i< Design with a Quadratic Equation: A Better Model of the Hemodynamic Changes in Preschoolers during the Dimension Change Card Sorting Task
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title_sort	<i<habit-dishabit</i< design with a quadratic equation: a better model of the hemodynamic changes in preschoolers during the dimension change card sorting task
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title_auth	<i<Habit-DisHabit</i< Design with a Quadratic Equation: A Better Model of the Hemodynamic Changes in Preschoolers during the Dimension Change Card Sorting Task
abstract	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 (<i<N</i< = 38, <i<M<sub<age</sub<</i< = 5.0 years, <i<SD</i< = 0.69 years, 17 girls) collected from the <i<mixed-order design Dimensional Change Card Sort</i< (DCCS) task and verified the model with a new set of data with the <i<Habit-DisHabit</i< design. First, comparing the quadratic and cubic modeling results of the <i<mixed-order design</i< 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 <i<Habit-DisHabit design</i< data verified its suitability and indicated that the new design was more effective in identifying the neural correlates of cognitive shifting than the <i<mixed-order</i< design. These findings jointly indicate that <i<Habit-DisHabit Design</i< with a quadratic equation might better model the hemodynamic changes in preschoolers during the DCCS task.
abstractGer	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 (<i<N</i< = 38, <i<M<sub<age</sub<</i< = 5.0 years, <i<SD</i< = 0.69 years, 17 girls) collected from the <i<mixed-order design Dimensional Change Card Sort</i< (DCCS) task and verified the model with a new set of data with the <i<Habit-DisHabit</i< design. First, comparing the quadratic and cubic modeling results of the <i<mixed-order design</i< 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 <i<Habit-DisHabit design</i< data verified its suitability and indicated that the new design was more effective in identifying the neural correlates of cognitive shifting than the <i<mixed-order</i< design. These findings jointly indicate that <i<Habit-DisHabit Design</i< with a quadratic equation might better model the hemodynamic changes in preschoolers during the DCCS task.
abstract_unstemmed	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 (<i<N</i< = 38, <i<M<sub<age</sub<</i< = 5.0 years, <i<SD</i< = 0.69 years, 17 girls) collected from the <i<mixed-order design Dimensional Change Card Sort</i< (DCCS) task and verified the model with a new set of data with the <i<Habit-DisHabit</i< design. First, comparing the quadratic and cubic modeling results of the <i<mixed-order design</i< 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 <i<Habit-DisHabit design</i< data verified its suitability and indicated that the new design was more effective in identifying the neural correlates of cognitive shifting than the <i<mixed-order</i< design. These findings jointly indicate that <i<Habit-DisHabit Design</i< with a quadratic equation might better model the hemodynamic changes in preschoolers during the DCCS task.
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title_short	<i<Habit-DisHabit</i< Design with a Quadratic Equation: A Better Model of the Hemodynamic Changes in Preschoolers during the Dimension Change Card Sorting Task
url	https://doi.org/10.3390/children10091574 https://doaj.org/article/524b32438d5d42aea49a061b3c2721a9 https://www.mdpi.com/2227-9067/10/9/1574 https://doaj.org/toc/2227-9067
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Second, applying this quadratic model with the <i<Habit-DisHabit design</i< data verified its suitability and indicated that the new design was more effective in identifying the neural correlates of cognitive shifting than the <i<mixed-order</i< design. 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<i<Habit-DisHabit</i< Design with a Quadratic Equation: A Better Model of the Hemodynamic Changes in Preschoolers during the Dimension Change Card Sorting Task

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