Cerebrovascular reactivity increases across development in multiple networks as revealed by a breath‐holding task: A longitudinal fMRI study

Author:

Chen Donna Y.12,Di Xin1,Biswal Bharat1

Affiliation:

1. Department of Biomedical Engineering New Jersey Institute of Technology Newark New Jersey USA

2. Rutgers Biomedical and Health Sciences Rutgers School of Graduate Studies Newark New Jersey USA

Abstract

AbstractFunctional magnetic resonance imaging (fMRI) has been widely used to understand the neurodevelopmental changes that occur in cognition and behavior across childhood. The blood‐oxygen‐level‐dependent (BOLD) signal obtained from fMRI is understood to be comprised of both neuronal and vascular information. However, it is unclear whether the vascular response is altered across age in studies investigating development in children. Since the breath‐hold (BH) task is commonly used to understand cerebrovascular reactivity (CVR) in fMRI studies, it can be used to account for developmental differences in vascular response. This study examines how the cerebrovascular response changes over age in a longitudinal children's BH data set from the Nathan Kline Institute (NKI) Rockland Sample (aged 6–18 years old at enrollment). A general linear model approach was applied to derive CVR from BH data. To model both the longitudinal and cross‐sectional effects of age on BH response, we used mixed‐effects modeling with the following terms: linear, quadratic, logarithmic, and quadratic‐logarithmic, to find the best‐fitting model. We observed increased BH BOLD signals in multiple networks across age, in which linear and logarithmic mixed‐effects models provided the best fit with the lowest Akaike information criterion scores. This shows that the cerebrovascular response increases across development in a brain network‐specific manner. Therefore, fMRI studies investigating the developmental period should account for cerebrovascular changes that occur with age.

Funder

National Institutes of Health

National Center for Advancing Translational Sciences

Publisher

Wiley

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