Moderating Effect of Cortical Thickness on BOLD Signal Variability Age-Related Changes

The time course of neuroanatomical structural and functional measures across the lifespan is commonly reported in association with aging. Blood oxygen-level dependent signal variability, estimated using the standard deviation of the signal, or “BOLDSD,” is an emerging metric of variability in neural...

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Main Authors: Daiana R. Pur, Roy A. Eagleson, Anik de Ribaupierre, Nathalie Mella, Sandrine de Ribaupierre
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2019.00046/full
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spelling doaj-f9acbdb82ada45f19a22a80bf05145502020-11-24T21:09:43ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652019-03-011110.3389/fnagi.2019.00046435041Moderating Effect of Cortical Thickness on BOLD Signal Variability Age-Related ChangesDaiana R. Pur0Roy A. Eagleson1Roy A. Eagleson2Anik de Ribaupierre3Nathalie Mella4Sandrine de Ribaupierre5Sandrine de Ribaupierre6School of Biomedical Engineering, Western University, London, ON, CanadaSchool of Biomedical Engineering, Western University, London, ON, CanadaDepartment of Electrical and Computer Engineering, Western University, London, ON, CanadaDepartment of Psychology, University of Geneva, Geneva, SwitzerlandDepartment of Psychology, University of Geneva, Geneva, SwitzerlandSchool of Biomedical Engineering, Western University, London, ON, CanadaDepartment of Clinical Neurological Sciences, Schulich School of Medicine, Western University, London, ON, CanadaThe time course of neuroanatomical structural and functional measures across the lifespan is commonly reported in association with aging. Blood oxygen-level dependent signal variability, estimated using the standard deviation of the signal, or “BOLDSD,” is an emerging metric of variability in neural processing, and has been shown to be positively correlated with cognitive flexibility. Generally, BOLDSD is reported to decrease with aging, and is thought to reflect age-related cognitive decline. Additionally, it is well established that normative aging is associated with structural changes in brain regions, and that these predict functional decline in various cognitive domains. Nevertheless, the interaction between alterations in cortical morphology and BOLDSD changes has not been modeled quantitatively. The objective of the current study was to investigate the influence of cortical morphology metrics [i.e., cortical thickness (CT), gray matter (GM) volume, and cortical area (CA)] on age-related BOLDSD changes by treating these cortical morphology metrics as possible physiological confounds using linear mixed models. We studied these metrics in 28 healthy older subjects scanned twice at approximately 2.5 years interval. Results show that BOLDSD is confounded by cortical morphology metrics. Respectively, changes in CT but not GM volume nor CA, show a significant interaction with BOLDSD alterations. Our study highlights that CT changes should be considered when evaluating BOLDSD alternations in the lifespan.https://www.frontiersin.org/article/10.3389/fnagi.2019.00046/fullsignal variabilityBOLD fMRIstructural alterationscortical morphologyagingcortical thickness
collection DOAJ
language English
format Article
sources DOAJ
author Daiana R. Pur
Roy A. Eagleson
Roy A. Eagleson
Anik de Ribaupierre
Nathalie Mella
Sandrine de Ribaupierre
Sandrine de Ribaupierre
spellingShingle Daiana R. Pur
Roy A. Eagleson
Roy A. Eagleson
Anik de Ribaupierre
Nathalie Mella
Sandrine de Ribaupierre
Sandrine de Ribaupierre
Moderating Effect of Cortical Thickness on BOLD Signal Variability Age-Related Changes
Frontiers in Aging Neuroscience
signal variability
BOLD fMRI
structural alterations
cortical morphology
aging
cortical thickness
author_facet Daiana R. Pur
Roy A. Eagleson
Roy A. Eagleson
Anik de Ribaupierre
Nathalie Mella
Sandrine de Ribaupierre
Sandrine de Ribaupierre
author_sort Daiana R. Pur
title Moderating Effect of Cortical Thickness on BOLD Signal Variability Age-Related Changes
title_short Moderating Effect of Cortical Thickness on BOLD Signal Variability Age-Related Changes
title_full Moderating Effect of Cortical Thickness on BOLD Signal Variability Age-Related Changes
title_fullStr Moderating Effect of Cortical Thickness on BOLD Signal Variability Age-Related Changes
title_full_unstemmed Moderating Effect of Cortical Thickness on BOLD Signal Variability Age-Related Changes
title_sort moderating effect of cortical thickness on bold signal variability age-related changes
publisher Frontiers Media S.A.
series Frontiers in Aging Neuroscience
issn 1663-4365
publishDate 2019-03-01
description The time course of neuroanatomical structural and functional measures across the lifespan is commonly reported in association with aging. Blood oxygen-level dependent signal variability, estimated using the standard deviation of the signal, or “BOLDSD,” is an emerging metric of variability in neural processing, and has been shown to be positively correlated with cognitive flexibility. Generally, BOLDSD is reported to decrease with aging, and is thought to reflect age-related cognitive decline. Additionally, it is well established that normative aging is associated with structural changes in brain regions, and that these predict functional decline in various cognitive domains. Nevertheless, the interaction between alterations in cortical morphology and BOLDSD changes has not been modeled quantitatively. The objective of the current study was to investigate the influence of cortical morphology metrics [i.e., cortical thickness (CT), gray matter (GM) volume, and cortical area (CA)] on age-related BOLDSD changes by treating these cortical morphology metrics as possible physiological confounds using linear mixed models. We studied these metrics in 28 healthy older subjects scanned twice at approximately 2.5 years interval. Results show that BOLDSD is confounded by cortical morphology metrics. Respectively, changes in CT but not GM volume nor CA, show a significant interaction with BOLDSD alterations. Our study highlights that CT changes should be considered when evaluating BOLDSD alternations in the lifespan.
topic signal variability
BOLD fMRI
structural alterations
cortical morphology
aging
cortical thickness
url https://www.frontiersin.org/article/10.3389/fnagi.2019.00046/full
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