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


Journal

Brain structure & function
ISSN: 1863-2661
Titre abrégé: Brain Struct Funct
Pays: Germany
ID NLM: 101282001

Informations de publication

Date de publication:
May 2021
Historique:
received: 07 07 2020
accepted: 20 01 2021
pubmed: 20 2 2021
medline: 1 12 2021
entrez: 19 2 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33604746
doi: 10.1007/s00429-021-02226-7
pii: 10.1007/s00429-021-02226-7
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1067-1098

Subventions

Organisme : CIHR
ID : MOP11501
Pays : Canada
Organisme : Natural Sciences and Engineering Research Council of Canada
ID : 06186
Organisme : Natural Sciences and Engineering Research Council of Canada
ID : 06638
Organisme : CIHR
ID : MOP11501
Pays : Canada

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Auteurs

Stanislau Hrybouski (S)

Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.

Ivor Cribben (I)

Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
Department of Accounting and Business Analytics, Alberta School of Business, University of Alberta, Edmonton, AB, Canada.

John McGonigle (J)

Department of Brain Sciences, Imperial College London, London, UK.

Fraser Olsen (F)

Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.

Rawle Carter (R)

Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2V2, Canada.

Peter Seres (P)

Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.

Christopher R Madan (CR)

School of Psychology, University of Nottingham, Nottingham, UK.

Nikolai V Malykhin (NV)

Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada. nikolai@ualberta.ca.
Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada. nikolai@ualberta.ca.
Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2V2, Canada. nikolai@ualberta.ca.

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