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The physiological basis underlying functional connectivity differences in older adults: A multi-modal analysis of resting-state fMRI

The purpose of this study was to determine if differences in functional connectivity strength (FCS) with age were confounded by vascular parameters including resting cerebral blood flow (CBF 0 ), cerebrovascular reactivity (CVR), and BOLD-CBF coupling. Neuroimaging data were collected from 13 younge...

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Bibliographic Details
Published in:Brain imaging and behavior 2022-08, Vol.16 (4), p.1575-1591
Main Authors: Champagne, Allen A., Coverdale, Nicole S., Allen, Matti D., Tremblay, Joshua C., MacPherson, Rebecca E. K., Pyke, Kyra E., Olver, T. Dylan, Cook, Douglas J.
Format: Article
Language:English
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Summary:The purpose of this study was to determine if differences in functional connectivity strength (FCS) with age were confounded by vascular parameters including resting cerebral blood flow (CBF 0 ), cerebrovascular reactivity (CVR), and BOLD-CBF coupling. Neuroimaging data were collected from 13 younger adults (24 ± 2 years) and 14 older adults (71 ± 4 years). A dual-echo resting state pseudo-continuous arterial spin labeling sequence was performed, as well as a BOLD breath-hold protocol. A group independent component analysis was used to identify networks, which were amalgamated into a region of interest (ROI). Within the ROI, FC strength (FCS) was computed for all voxels and compared across the groups. CBF 0 , CVR and BOLD-CBF coupling were examined within voxels where FCS was different between young and older adults. FCS was greater in old compared to young ( P  = 0.001). When the effect of CBF 0 , CVR and BOLD-CBF coupling on FCS was examined, BOLD-CBF coupling had a significant effect ( P  = 0.003) and group differences in FCS were not present once all vascular parameters were considered in the statistical model ( P  = 0.07). These findings indicate that future studies of FCS should consider vascular physiological markers in order to improve our understanding of aging processes on brain connectivity.
ISSN:1931-7557
1931-7565
DOI:10.1007/s11682-021-00570-0