Literature DB >> 33604746

Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional magnetic resonance imaging.

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


  191 in total

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Journal:  Neuroimage       Date:  2001-05       Impact factor: 6.556

2.  Brain energy metabolism and blood flow differences in healthy aging.

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3.  Geodesic estimation for large deformation anatomical shape averaging and interpolation.

Authors:  Brian Avants; James C Gee
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

4.  Effects of aging on cerebral blood flow, oxygen metabolism, and blood oxygenation level dependent responses to visual stimulation.

Authors:  Beau M Ances; Christine L Liang; Oleg Leontiev; Joanna E Perthen; Adam S Fleisher; Amy E Lansing; Richard B Buxton
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

Review 5.  The brain's default network and its adaptive role in internal mentation.

Authors:  Jessica R Andrews-Hanna
Journal:  Neuroscientist       Date:  2011-06-15       Impact factor: 7.519

6.  Amygdala subnuclei and healthy cognitive aging.

Authors:  Arash Aghamohammadi-Sereshki; Stanislau Hrybouski; Scott Travis; Yushan Huang; Fraser Olsen; Rawle Carter; Richard Camicioli; Nikolai V Malykhin
Journal:  Hum Brain Mapp       Date:  2018-10-06       Impact factor: 5.038

7.  Disruption of large-scale brain systems in advanced aging.

Authors:  Jessica R Andrews-Hanna; Abraham Z Snyder; Justin L Vincent; Cindy Lustig; Denise Head; Marcus E Raichle; Randy L Buckner
Journal:  Neuron       Date:  2007-12-06       Impact factor: 17.173

8.  Capturing inter-subject variability with group independent component analysis of fMRI data: a simulation study.

Authors:  Elena A Allen; Erik B Erhardt; Yonghua Wei; Tom Eichele; Vince D Calhoun
Journal:  Neuroimage       Date:  2011-10-14       Impact factor: 6.556

9.  A baseline for the multivariate comparison of resting-state networks.

Authors:  Elena A Allen; Erik B Erhardt; Eswar Damaraju; William Gruner; Judith M Segall; Rogers F Silva; Martin Havlicek; Srinivas Rachakonda; Jill Fries; Ravi Kalyanam; Andrew M Michael; Arvind Caprihan; Jessica A Turner; Tom Eichele; Steven Adelsheim; Angela D Bryan; Juan Bustillo; Vincent P Clark; Sarah W Feldstein Ewing; Francesca Filbey; Corey C Ford; Kent Hutchison; Rex E Jung; Kent A Kiehl; Piyadasa Kodituwakku; Yuko M Komesu; Andrew R Mayer; Godfrey D Pearlson; John P Phillips; Joseph R Sadek; Michael Stevens; Ursina Teuscher; Robert J Thoma; Vince D Calhoun
Journal:  Front Syst Neurosci       Date:  2011-02-04

10.  Impact of autocorrelation on functional connectivity.

Authors:  Mohammad R Arbabshirani; Eswar Damaraju; Ronald Phlypo; Sergey Plis; Elena Allen; Sai Ma; Daniel Mathalon; Adrian Preda; Jatin G Vaidya; Tülay Adali; Vince D Calhoun
Journal:  Neuroimage       Date:  2014-07-27       Impact factor: 6.556

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