Dispersion of functional gradients across the adult lifespan.
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 11 2020
15 11 2020
Historique:
received:
27
02
2020
revised:
25
07
2020
accepted:
17
08
2020
pubmed:
24
8
2020
medline:
30
3
2021
entrez:
24
8
2020
Statut:
ppublish
Résumé
Ageing is commonly associated with changes to segregation and integration of functional brain networks, but, in isolation, current network-based approaches struggle to elucidate changes across the many axes of functional organisation. However, the advent of gradient mapping techniques in neuroimaging provides a new means of studying functional organisation in a multi-dimensional connectivity space. Here, we studied ageing and behaviourally-relevant differences in a three-dimensional connectivity space using the Cambridge Centre for Ageing Neuroscience cohort (n = 643). Building on gradient mapping techniques, we developed a set of measures to quantify the dispersion within and between functional communities. We detected a strong shift of the visual network across the adult lifespan from an extreme to a more central position in the 3D gradient space. In contrast, the dispersion distance between transmodal communities (dorsal attention, ventral attention, frontoparietal and default mode) did not change. However, these communities themselves were increasingly dispersed with increasing age, reflecting more dissimilar functional connectivity profiles within each community. Increasing dispersion of frontoparietal, attention and default mode networks, in particular, were associated negatively with cognition, measured by fluid intelligence. By using a technique that explicitly captures the ordering of functional systems in a multi-dimensional hierarchical framework, we identified behaviorally-relevant age-related differences of within and between network organisation. We propose that the study of functional gradients across the adult lifespan could provide insights that may facilitate the development of new strategies to maintain cognitive ability across the lifespan in health and disease.
Identifiants
pubmed: 32828920
pii: S1053-8119(20)30785-0
doi: 10.1016/j.neuroimage.2020.117299
pmc: PMC7779368
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
117299Subventions
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/H008217/1
Pays : United Kingdom
Organisme : CIHR
ID : FDN-154298
Pays : Canada
Organisme : Department of Health
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M009041/1
Pays : United Kingdom
Informations de copyright
Copyright © 2020. Published by Elsevier Inc.
Références
Neuroimage. 2020 Dec;223:117322
pubmed: 32882388
Neuroimage. 2014 Nov 15;102 Pt 2:345-57
pubmed: 25109530
Neuroimage. 2013 Oct 15;80:246-62
pubmed: 23631983
Med Image Comput Comput Assist Interv. 2015 Oct;9350:313-320
pubmed: 26855977
Neuroimage. 2018 Apr 15;170:83-94
pubmed: 28666880
Proc Natl Acad Sci U S A. 2016 Nov 1;113(44):12574-12579
pubmed: 27791099
Neuroimage. 2010 Sep;52(3):1059-69
pubmed: 19819337
Sci Rep. 2019 Nov 4;9(1):15976
pubmed: 31685830
BMC Neurol. 2014 Oct 14;14:204
pubmed: 25412575
Neuroimage. 2015 May 15;112:267-277
pubmed: 25770991
Hum Brain Mapp. 2017 Aug;38(8):4125-4156
pubmed: 28544076
Neurobiol Aging. 2016 Nov;47:63-70
pubmed: 27562529
Neuroimage. 2019 Apr 1;189:432-444
pubmed: 30659958
Sci Rep. 2019 Sep 24;9(1):13771
pubmed: 31551468
Nat Neurosci. 2020 Nov;23(11):1421-1432
pubmed: 32989295
Commun Biol. 2020 Mar 5;3(1):103
pubmed: 32139786
Proc Natl Acad Sci U S A. 2018 Oct 2;115(40):10154-10159
pubmed: 30249658
Neurosci Biobehav Rev. 2015 Oct;57:156-74
pubmed: 26318367
Neuroscientist. 2015 May 6;21(5):540-551
pubmed: 25948648
PLoS Biol. 2019 May 20;17(5):e3000284
pubmed: 31107870
Cereb Cortex. 2008 Aug;18(8):1856-64
pubmed: 18063564
Neuroimage. 2018 Sep;178:540-551
pubmed: 29860082
Behav Res Methods. 2008 May;40(2):457-66
pubmed: 18522056
Cereb Cortex. 2015 Jul;25(7):1987-99
pubmed: 24532319
Med Image Anal. 2015 Feb;20(1):52-60
pubmed: 25476411
Hum Brain Mapp. 2019 Dec 15;40(18):5213-5230
pubmed: 31444896
Neuroimage. 1999 Feb;9(2):179-94
pubmed: 9931268
Cereb Cortex. 2016 Sep;26(9):3851-65
pubmed: 26315689
Brain. 2017 Aug 1;140(8):2133-2143
pubmed: 28899007
Gerontologist. 2016 Apr;56 Suppl 2:S163-6
pubmed: 26994257
J Cogn Neurosci. 2012 Nov;24(11):2186-98
pubmed: 22784277
Trends Cogn Sci. 2018 Apr;22(4):350-364
pubmed: 29501326
J Neurosci. 2016 Mar 16;36(11):3115-26
pubmed: 26985024
Hum Brain Mapp. 2014 Jan;35(1):319-30
pubmed: 22915491
Brain. 1998 Jun;121 ( Pt 6):1013-52
pubmed: 9648540
J Neurosci. 2018 Sep 5;38(36):7887-7900
pubmed: 30049889
Nat Rev Neurosci. 2004 Feb;5(2):87-96
pubmed: 14735112
Front Hum Neurosci. 2019 Dec 10;13:430
pubmed: 31920590
Neuroimage. 2012 Jan 2;59(1):431-8
pubmed: 21810475
Aging Dis. 2011 Jan 1;2(1):30-48
pubmed: 21461180
Neuroimage. 2017 Jan;144(Pt B):262-269
pubmed: 26375206
Proc Natl Acad Sci U S A. 2014 Nov 18;111(46):E4997-5006
pubmed: 25368199
J Neurophysiol. 2011 Sep;106(3):1125-65
pubmed: 21653723
Neuron. 2007 Dec 6;56(5):924-35
pubmed: 18054866
Neuroimage. 1999 Feb;9(2):195-207
pubmed: 9931269
Cereb Cortex. 2018 Jan 1;28(1):281-294
pubmed: 29088339
Philos Trans R Soc Lond B Biol Sci. 2021 Jan 4;376(1815):20190631
pubmed: 33190597
Nat Methods. 2011 Jun 26;8(8):665-70
pubmed: 21706013