Cargando…

Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects

In Functional magnetic resonance imaging (fMRI), the blood oxygen level dependent (BOLD) signal is modeled as a convolution of the hemodynamic response function (HRF) and the unmeasured latent neural signal. Although most cortical and subcortical brain regions share the canonical shape of the HRF, t...

Descripción completa

Detalles Bibliográficos
Autores principales: Yan, Wenjing, Rangaprakash, D., Deshpande, Gopikrishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139368/
https://www.ncbi.nlm.nih.gov/pubmed/30225289
http://dx.doi.org/10.1016/j.dib.2018.04.126
_version_ 1783355504677879808
author Yan, Wenjing
Rangaprakash, D.
Deshpande, Gopikrishna
author_facet Yan, Wenjing
Rangaprakash, D.
Deshpande, Gopikrishna
author_sort Yan, Wenjing
collection PubMed
description In Functional magnetic resonance imaging (fMRI), the blood oxygen level dependent (BOLD) signal is modeled as a convolution of the hemodynamic response function (HRF) and the unmeasured latent neural signal. Although most cortical and subcortical brain regions share the canonical shape of the HRF, the temporal structure of HRFs are variable across brain regions and subjects. This variability is induced by both neural and non-neural factors. The variability between subjects can be examined by three parameters that characterize the HRF: response height (RH), time-to-peak (TTP) and full-width at half-max (FWHM). This data provides three HRF parameters at every voxel, obtained from Autism Spectrum Disorder (ASD) patients (N = 531), and matched healthy controls (N = 571). Since ongoing studies suggest that non-standard populations have important differences in their HRFs when compared with healthy control, this data set is valuable in studying variability of HRF in ASD group and inferring the underlying pathology that also affects the HRF. It also has implications for fMRI analyses like resting-sate connectivity analysis.
format Online
Article
Text
id pubmed-6139368
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-61393682018-09-17 Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects Yan, Wenjing Rangaprakash, D. Deshpande, Gopikrishna Data Brief Engineering In Functional magnetic resonance imaging (fMRI), the blood oxygen level dependent (BOLD) signal is modeled as a convolution of the hemodynamic response function (HRF) and the unmeasured latent neural signal. Although most cortical and subcortical brain regions share the canonical shape of the HRF, the temporal structure of HRFs are variable across brain regions and subjects. This variability is induced by both neural and non-neural factors. The variability between subjects can be examined by three parameters that characterize the HRF: response height (RH), time-to-peak (TTP) and full-width at half-max (FWHM). This data provides three HRF parameters at every voxel, obtained from Autism Spectrum Disorder (ASD) patients (N = 531), and matched healthy controls (N = 571). Since ongoing studies suggest that non-standard populations have important differences in their HRFs when compared with healthy control, this data set is valuable in studying variability of HRF in ASD group and inferring the underlying pathology that also affects the HRF. It also has implications for fMRI analyses like resting-sate connectivity analysis. Elsevier 2018-05-05 /pmc/articles/PMC6139368/ /pubmed/30225289 http://dx.doi.org/10.1016/j.dib.2018.04.126 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Yan, Wenjing
Rangaprakash, D.
Deshpande, Gopikrishna
Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects
title Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects
title_full Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects
title_fullStr Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects
title_full_unstemmed Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects
title_short Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects
title_sort estimated hemodynamic response function parameters obtained from resting state bold fmri signals in subjects with autism spectrum disorder and matched healthy subjects
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139368/
https://www.ncbi.nlm.nih.gov/pubmed/30225289
http://dx.doi.org/10.1016/j.dib.2018.04.126
work_keys_str_mv AT yanwenjing estimatedhemodynamicresponsefunctionparametersobtainedfromrestingstateboldfmrisignalsinsubjectswithautismspectrumdisorderandmatchedhealthysubjects
AT rangaprakashd estimatedhemodynamicresponsefunctionparametersobtainedfromrestingstateboldfmrisignalsinsubjectswithautismspectrumdisorderandmatchedhealthysubjects
AT deshpandegopikrishna estimatedhemodynamicresponsefunctionparametersobtainedfromrestingstateboldfmrisignalsinsubjectswithautismspectrumdisorderandmatchedhealthysubjects