| Literature DB >> 33604746 |
Stanislau Hrybouski1, Ivor Cribben1,2, John McGonigle3, Fraser Olsen4, Rawle Carter5, Peter Seres4, Christopher R Madan6, Nikolai V Malykhin7,8,9.
Abstract
Functional changes in the aging human brain have been previously reported using functional magnetic resonance imaging (fMRI). Earlier resting-state fMRI studies revealed an age-associated weakening of intra-system functional connectivity (FC) and age-associated strengthening of inter-system FC. However, the majority of such FC studies did not investigate the relationship between age and network amplitude, without which correlation-based measures of FC can be challenging to interpret. Consequently, the main aim of this study was to investigate how three primary measures of resting-state fMRI signal-network amplitude, network topography, and inter-network FC-are affected by healthy cognitive aging. We acquired resting-state fMRI data on a 4.7 T scanner for 105 healthy participants representing the entire adult lifespan (18-85 years of age). To study age differences in network structure, we combined ICA-based network decomposition with sparse graphical models. Older adults displayed lower blood-oxygen-level-dependent (BOLD) signal amplitude in all functional systems, with sensorimotor networks showing the largest age differences. Our age comparisons of network topography and inter-network FC demonstrated a substantial amount of age invariance in the brain's functional architecture. Despite architecture similarities, old adults displayed a loss of communication efficiency in our inter-network FC comparisons, driven primarily by the FC reduction in frontal and parietal association cortices. Together, our results provide a comprehensive overview of age effects on fMRI-based FC.Entities:
Keywords: Brain aging; High-field fMRI; Network amplitude; Resting-state fMRI; Sparse graphs
Year: 2021 PMID: 33604746 DOI: 10.1007/s00429-021-02226-7
Source DB: PubMed Journal: Brain Struct Funct ISSN: 1863-2653 Impact factor: 3.270