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Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type
Blood-oxygen-level dependent (BOLD) signals are widely used in functional magnetic resonance imaging (fMRI) as a proxy measure of brain activation. However, because these signals are blood-related, they are also influenced by other physiological processes. This is especially true in resting state fM...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928460/ https://www.ncbi.nlm.nih.gov/pubmed/27445680 http://dx.doi.org/10.3389/fnins.2016.00313 |
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author | Tong, Yunjie Hocke, Lia M. Lindsey, Kimberly P. Erdoğan, Sinem B. Vitaliano, Gordana Caine, Carolyn E. Frederick, Blaise deB. |
author_facet | Tong, Yunjie Hocke, Lia M. Lindsey, Kimberly P. Erdoğan, Sinem B. Vitaliano, Gordana Caine, Carolyn E. Frederick, Blaise deB. |
author_sort | Tong, Yunjie |
collection | PubMed |
description | Blood-oxygen-level dependent (BOLD) signals are widely used in functional magnetic resonance imaging (fMRI) as a proxy measure of brain activation. However, because these signals are blood-related, they are also influenced by other physiological processes. This is especially true in resting state fMRI, during which no experimental stimulation occurs. Previous studies have found that the amplitude of resting state BOLD is closely related to regional vascular density. In this study, we investigated how some of the temporal fluctuations of the BOLD signal also possibly relate to regional vascular density. We began by identifying the blood-bound systemic low-frequency oscillation (sLFO). We then assessed the distribution of all voxels based on their correlations with this sLFO. We found that sLFO signals are widely present in resting state BOLD signals and that the proportion of these sLFOs in each voxel correlates with different tissue types, which vary significantly in underlying vascular density. These results deepen our understanding of the BOLD signal and suggest new imaging biomarkers based on fMRI data, such as amplitude of low-frequency fluctuation (ALFF) and sLFO, a combination of both, for assessing vascular density. |
format | Online Article Text |
id | pubmed-4928460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49284602016-07-21 Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type Tong, Yunjie Hocke, Lia M. Lindsey, Kimberly P. Erdoğan, Sinem B. Vitaliano, Gordana Caine, Carolyn E. Frederick, Blaise deB. Front Neurosci Neuroscience Blood-oxygen-level dependent (BOLD) signals are widely used in functional magnetic resonance imaging (fMRI) as a proxy measure of brain activation. However, because these signals are blood-related, they are also influenced by other physiological processes. This is especially true in resting state fMRI, during which no experimental stimulation occurs. Previous studies have found that the amplitude of resting state BOLD is closely related to regional vascular density. In this study, we investigated how some of the temporal fluctuations of the BOLD signal also possibly relate to regional vascular density. We began by identifying the blood-bound systemic low-frequency oscillation (sLFO). We then assessed the distribution of all voxels based on their correlations with this sLFO. We found that sLFO signals are widely present in resting state BOLD signals and that the proportion of these sLFOs in each voxel correlates with different tissue types, which vary significantly in underlying vascular density. These results deepen our understanding of the BOLD signal and suggest new imaging biomarkers based on fMRI data, such as amplitude of low-frequency fluctuation (ALFF) and sLFO, a combination of both, for assessing vascular density. Frontiers Media S.A. 2016-06-30 /pmc/articles/PMC4928460/ /pubmed/27445680 http://dx.doi.org/10.3389/fnins.2016.00313 Text en Copyright © 2016 Tong, Hocke, Lindsey, Erdoğan, Vitaliano, Caine and Frederick. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Tong, Yunjie Hocke, Lia M. Lindsey, Kimberly P. Erdoğan, Sinem B. Vitaliano, Gordana Caine, Carolyn E. Frederick, Blaise deB. Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type |
title | Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type |
title_full | Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type |
title_fullStr | Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type |
title_full_unstemmed | Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type |
title_short | Systemic Low-Frequency Oscillations in BOLD Signal Vary with Tissue Type |
title_sort | systemic low-frequency oscillations in bold signal vary with tissue type |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928460/ https://www.ncbi.nlm.nih.gov/pubmed/27445680 http://dx.doi.org/10.3389/fnins.2016.00313 |
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