Evaluation of hemodynamic response function during mental arithmetic task in fNIRS data using GLM method

To understand the complex structure of neural networks in the brain, which is a critical concept in Neuroscience, it is essential to identify different areas of the brain. Studies on the performance of various brain regions and their processing techniques have helped collect a large amount of data a...

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Autores principales: Shekoufe Barahimi, Zahra Einalou, Mehrdad Dadgostar
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Lenguaje:EN
Publicado: Elsevier 2021
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spelling oai:doaj.org-article:c3c7ab0d687740a498fe83451eb054dd2021-12-03T04:01:38ZEvaluation of hemodynamic response function during mental arithmetic task in fNIRS data using GLM method2772-528610.1016/j.neuri.2021.100004https://doaj.org/article/c3c7ab0d687740a498fe83451eb054dd2021-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2772528621000042https://doaj.org/toc/2772-5286To understand the complex structure of neural networks in the brain, which is a critical concept in Neuroscience, it is essential to identify different areas of the brain. Studies on the performance of various brain regions and their processing techniques have helped collect a large amount of data about the functions of these areas, which can provide deeper insights into the mechanism of this system. In line with this, the present study seeks to evaluate the hemodynamic response function (HRF) of the cerebral cortex in 8 healthy subjects (3 males and 5 females) during mental arithmetic task (Subtraction of single-digit numbers by two-digit numbers). This is conducted by data recording using functional near-infrared spectroscopy (fNIRS) with 52 channels to identify the active parts of their brain. Following the task (3 or 4 runs), we recorded the brain channel signals of the subjects, removing the noise from the extracted signals using wavelet transform technique. Then, the location of the channels and the active areas of the brain were identified in each individual and the group levels using e general linear model (GLM) method. The findings suggest that at the individual level, dorsolateral prefrontal cortex (DLPFC), supramarginal gyrus (SMG), left superior parietal lobule (left SPL), and right inferior frontal gyrus are activated during the mental arithmetic task (subtraction). Also, at the group level, the frontal lobe (dorsolateral prefrontal cortex (DLPFC)) and the parietal lobe (left superior parietal lobule (left SPL) are activated, which is compatible with brain activation during mental arithmetic task.Shekoufe BarahimiZahra EinalouMehrdad DadgostarElsevierarticleHemodynamic response functionFunctional near-infrared spectroscopyGeneral linear modelNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroscience Informatics, Vol 1, Iss 1, Pp 100004- (2021)
institution DOAJ
collection DOAJ
language EN
topic Hemodynamic response function
Functional near-infrared spectroscopy
General linear model
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle Hemodynamic response function
Functional near-infrared spectroscopy
General linear model
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Shekoufe Barahimi
Zahra Einalou
Mehrdad Dadgostar
Evaluation of hemodynamic response function during mental arithmetic task in fNIRS data using GLM method
description To understand the complex structure of neural networks in the brain, which is a critical concept in Neuroscience, it is essential to identify different areas of the brain. Studies on the performance of various brain regions and their processing techniques have helped collect a large amount of data about the functions of these areas, which can provide deeper insights into the mechanism of this system. In line with this, the present study seeks to evaluate the hemodynamic response function (HRF) of the cerebral cortex in 8 healthy subjects (3 males and 5 females) during mental arithmetic task (Subtraction of single-digit numbers by two-digit numbers). This is conducted by data recording using functional near-infrared spectroscopy (fNIRS) with 52 channels to identify the active parts of their brain. Following the task (3 or 4 runs), we recorded the brain channel signals of the subjects, removing the noise from the extracted signals using wavelet transform technique. Then, the location of the channels and the active areas of the brain were identified in each individual and the group levels using e general linear model (GLM) method. The findings suggest that at the individual level, dorsolateral prefrontal cortex (DLPFC), supramarginal gyrus (SMG), left superior parietal lobule (left SPL), and right inferior frontal gyrus are activated during the mental arithmetic task (subtraction). Also, at the group level, the frontal lobe (dorsolateral prefrontal cortex (DLPFC)) and the parietal lobe (left superior parietal lobule (left SPL) are activated, which is compatible with brain activation during mental arithmetic task.
format article
author Shekoufe Barahimi
Zahra Einalou
Mehrdad Dadgostar
author_facet Shekoufe Barahimi
Zahra Einalou
Mehrdad Dadgostar
author_sort Shekoufe Barahimi
title Evaluation of hemodynamic response function during mental arithmetic task in fNIRS data using GLM method
title_short Evaluation of hemodynamic response function during mental arithmetic task in fNIRS data using GLM method
title_full Evaluation of hemodynamic response function during mental arithmetic task in fNIRS data using GLM method
title_fullStr Evaluation of hemodynamic response function during mental arithmetic task in fNIRS data using GLM method
title_full_unstemmed Evaluation of hemodynamic response function during mental arithmetic task in fNIRS data using GLM method
title_sort evaluation of hemodynamic response function during mental arithmetic task in fnirs data using glm method
publisher Elsevier
publishDate 2021
url https://doaj.org/article/c3c7ab0d687740a498fe83451eb054dd
work_keys_str_mv AT shekoufebarahimi evaluationofhemodynamicresponsefunctionduringmentalarithmetictaskinfnirsdatausingglmmethod
AT zahraeinalou evaluationofhemodynamicresponsefunctionduringmentalarithmetictaskinfnirsdatausingglmmethod
AT mehrdaddadgostar evaluationofhemodynamicresponsefunctionduringmentalarithmetictaskinfnirsdatausingglmmethod
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