Hemodynamic response function (HRF) as a novel brain marker: Applications in subjective cognitive decline (SCD)

Objective: Subjective cognitive decline (SCD) is the first clinical manifestation of the Alzheimer's disease (AD) continuum. Hemodynamic response function (HRF) carries information related to brain pathology and function. The shape of the HRF can be described by three parameters: response heigh...

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Main Authors: Liang Lu, Guangfei Li, Zeyu Song, Zhao Zhang, Xiaoying Tang
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Neuroscience Informatics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772528622000553
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author Liang Lu
Guangfei Li
Zeyu Song
Zhao Zhang
Xiaoying Tang
author_facet Liang Lu
Guangfei Li
Zeyu Song
Zhao Zhang
Xiaoying Tang
author_sort Liang Lu
collection DOAJ
description Objective: Subjective cognitive decline (SCD) is the first clinical manifestation of the Alzheimer's disease (AD) continuum. Hemodynamic response function (HRF) carries information related to brain pathology and function. The shape of the HRF can be described by three parameters: response height (RH), time-to-peak (TTP), and full-width at half-max (FWHM). We proposed and explored our two hypotheses. Hypothesis 1: HRF was pathologically related to SCD: compared with healthy controls (HC), patients with SCD show HRF aberrations. Hypothesis 2: HRF could be employed as a novel marker of brain imaging for the classification of SCD. Methods: We used resting-state functional magnetic resonance imaging (fMRI) data and performed deconvolution to investigate the HRF parameters in 54 individuals with SCD and 64 HC. Statistical two-sample t tests were performed to investigate between-group differences in HRF parameters. Finally, we used logistic regression to construct a binary classification of SCD and HC. Results: We found altered HRF parameters in the SCD group compared to HC. In the brain regions with altered HRF, we found that RH and FWHM decreased in the SCD group compared to HC, while TTP increased in the SCD group. From the binary logistic regression, we found that the classification accuracy of SCD and HC was 94.07%. Conclusion: The study demonstrated altered HRF parameters in patients with SCD, which could be used as a novel marker of brain function for the classification of SCD.
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spelling doaj.art-b3d40ba47c6c411eac9b8177d0d801752022-12-22T03:07:21ZengElsevierNeuroscience Informatics2772-52862022-09-0123100093Hemodynamic response function (HRF) as a novel brain marker: Applications in subjective cognitive decline (SCD)Liang Lu0Guangfei Li1Zeyu Song2Zhao Zhang3Xiaoying Tang4Department of Biomedical Engineering, Beijing Institute of Technology, Beijing, ChinaDepartment of Biomedical Engineering, Beijing Institute of Technology, Beijing, ChinaDepartment of Biomedical Engineering, Beijing Institute of Technology, Beijing, ChinaDepartment of Biomedical Engineering, Beijing Institute of Technology, Beijing, ChinaCorresponding author. Address: Beijing Institute of Technology, 5 South Zhongguancun Street, Beijing 100081, China.; Department of Biomedical Engineering, Beijing Institute of Technology, Beijing, ChinaObjective: Subjective cognitive decline (SCD) is the first clinical manifestation of the Alzheimer's disease (AD) continuum. Hemodynamic response function (HRF) carries information related to brain pathology and function. The shape of the HRF can be described by three parameters: response height (RH), time-to-peak (TTP), and full-width at half-max (FWHM). We proposed and explored our two hypotheses. Hypothesis 1: HRF was pathologically related to SCD: compared with healthy controls (HC), patients with SCD show HRF aberrations. Hypothesis 2: HRF could be employed as a novel marker of brain imaging for the classification of SCD. Methods: We used resting-state functional magnetic resonance imaging (fMRI) data and performed deconvolution to investigate the HRF parameters in 54 individuals with SCD and 64 HC. Statistical two-sample t tests were performed to investigate between-group differences in HRF parameters. Finally, we used logistic regression to construct a binary classification of SCD and HC. Results: We found altered HRF parameters in the SCD group compared to HC. In the brain regions with altered HRF, we found that RH and FWHM decreased in the SCD group compared to HC, while TTP increased in the SCD group. From the binary logistic regression, we found that the classification accuracy of SCD and HC was 94.07%. Conclusion: The study demonstrated altered HRF parameters in patients with SCD, which could be used as a novel marker of brain function for the classification of SCD.http://www.sciencedirect.com/science/article/pii/S2772528622000553Subjective cognitive decline (SCD)Alzheimer's disease (AD)Hemodynamic response function (HRF)Functional magnetic resonance imaging (fMRI)
spellingShingle Liang Lu
Guangfei Li
Zeyu Song
Zhao Zhang
Xiaoying Tang
Hemodynamic response function (HRF) as a novel brain marker: Applications in subjective cognitive decline (SCD)
Neuroscience Informatics
Subjective cognitive decline (SCD)
Alzheimer's disease (AD)
Hemodynamic response function (HRF)
Functional magnetic resonance imaging (fMRI)
title Hemodynamic response function (HRF) as a novel brain marker: Applications in subjective cognitive decline (SCD)
title_full Hemodynamic response function (HRF) as a novel brain marker: Applications in subjective cognitive decline (SCD)
title_fullStr Hemodynamic response function (HRF) as a novel brain marker: Applications in subjective cognitive decline (SCD)
title_full_unstemmed Hemodynamic response function (HRF) as a novel brain marker: Applications in subjective cognitive decline (SCD)
title_short Hemodynamic response function (HRF) as a novel brain marker: Applications in subjective cognitive decline (SCD)
title_sort hemodynamic response function hrf as a novel brain marker applications in subjective cognitive decline scd
topic Subjective cognitive decline (SCD)
Alzheimer's disease (AD)
Hemodynamic response function (HRF)
Functional magnetic resonance imaging (fMRI)
url http://www.sciencedirect.com/science/article/pii/S2772528622000553
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