Exploiting magnetic resonance angiography imaging improves model estimation of BOLD signal.

The change of BOLD signal relies heavily upon the resting blood volume fraction ([Formula: see text]) associated with regional vasculature. However, existing hemodynamic data assimilation studies pretermit such concern. They simply assign the value in a physiologically plausible range to get over il...

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Autores principales:	Zhenghui Hu, Cong Liu, Pengcheng Shi, Huafeng Liu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/010d57a106f7436380707f2eafe726c1
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spelling	oai:doaj.org-article:010d57a106f7436380707f2eafe726c12021-11-18T07:27:07ZExploiting magnetic resonance angiography imaging improves model estimation of BOLD signal.1932-620310.1371/journal.pone.0031612https://doaj.org/article/010d57a106f7436380707f2eafe726c12012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22384043/?tool=EBIhttps://doaj.org/toc/1932-6203The change of BOLD signal relies heavily upon the resting blood volume fraction ([Formula: see text]) associated with regional vasculature. However, existing hemodynamic data assimilation studies pretermit such concern. They simply assign the value in a physiologically plausible range to get over ill-conditioning of the assimilation problem and fail to explore actual [Formula: see text]. Such performance might lead to unreliable model estimation. In this work, we present the first exploration of the influence of [Formula: see text] on fMRI data assimilation, where actual [Formula: see text] within a given cortical area was calibrated by an MR angiography experiment and then was augmented into the assimilation scheme. We have investigated the impact of [Formula: see text] on single-region data assimilation and multi-region data assimilation (dynamic cause modeling, DCM) in a classical flashing checkerboard experiment. Results show that the employment of an assumed [Formula: see text] in fMRI data assimilation is only suitable for fMRI signal reconstruction and activation detection grounded on this signal, and not suitable for estimation of unobserved states and effective connectivity study. We thereby argue that introducing physically realistic [Formula: see text] in the assimilation process may provide more reliable estimation of physiological information, which contributes to a better understanding of the underlying hemodynamic processes. Such an effort is valuable and should be well appreciated.Zhenghui HuCong LiuPengcheng ShiHuafeng LiuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e31612 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhenghui Hu Cong Liu Pengcheng Shi Huafeng Liu Exploiting magnetic resonance angiography imaging improves model estimation of BOLD signal.
description	The change of BOLD signal relies heavily upon the resting blood volume fraction ([Formula: see text]) associated with regional vasculature. However, existing hemodynamic data assimilation studies pretermit such concern. They simply assign the value in a physiologically plausible range to get over ill-conditioning of the assimilation problem and fail to explore actual [Formula: see text]. Such performance might lead to unreliable model estimation. In this work, we present the first exploration of the influence of [Formula: see text] on fMRI data assimilation, where actual [Formula: see text] within a given cortical area was calibrated by an MR angiography experiment and then was augmented into the assimilation scheme. We have investigated the impact of [Formula: see text] on single-region data assimilation and multi-region data assimilation (dynamic cause modeling, DCM) in a classical flashing checkerboard experiment. Results show that the employment of an assumed [Formula: see text] in fMRI data assimilation is only suitable for fMRI signal reconstruction and activation detection grounded on this signal, and not suitable for estimation of unobserved states and effective connectivity study. We thereby argue that introducing physically realistic [Formula: see text] in the assimilation process may provide more reliable estimation of physiological information, which contributes to a better understanding of the underlying hemodynamic processes. Such an effort is valuable and should be well appreciated.
format	article
author	Zhenghui Hu Cong Liu Pengcheng Shi Huafeng Liu
author_facet	Zhenghui Hu Cong Liu Pengcheng Shi Huafeng Liu
author_sort	Zhenghui Hu
title	Exploiting magnetic resonance angiography imaging improves model estimation of BOLD signal.
title_short	Exploiting magnetic resonance angiography imaging improves model estimation of BOLD signal.
title_full	Exploiting magnetic resonance angiography imaging improves model estimation of BOLD signal.
title_fullStr	Exploiting magnetic resonance angiography imaging improves model estimation of BOLD signal.
title_full_unstemmed	Exploiting magnetic resonance angiography imaging improves model estimation of BOLD signal.
title_sort	exploiting magnetic resonance angiography imaging improves model estimation of bold signal.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/010d57a106f7436380707f2eafe726c1
work_keys_str_mv	AT zhenghuihu exploitingmagneticresonanceangiographyimagingimprovesmodelestimationofboldsignal AT congliu exploitingmagneticresonanceangiographyimagingimprovesmodelestimationofboldsignal AT pengchengshi exploitingmagneticresonanceangiographyimagingimprovesmodelestimationofboldsignal AT huafengliu exploitingmagneticresonanceangiographyimagingimprovesmodelestimationofboldsignal
_version_	1718423388601450496

Exploiting magnetic resonance angiography imaging improves model estimation of BOLD signal.

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