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1000 Titel
  • Resting-state networks in the course of aging—differential insights from studies across the lifespan vs. amongst the old
1000 Autor/in
  1. Jockwitz, C. |
  2. Caspers, S. |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-12
1000 Erschienen in
1000 Quellenangabe
  • 473(5):793-803
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00424-021-02520-7 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076139/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Resting-state functional connectivity (RSFC) has widely been used to examine reorganization of functional brain networks during normal aging. The extraction of generalizable age trends, however, is hampered by differences in methodological approaches, study designs and sample characteristics. Distinct age ranges of study samples thereby represent an important aspect between studies especially due to the increase in inter-individual variability over the lifespan. The current review focuses on comparing age-related differences in RSFC in the course of the whole adult lifespan versus later decades of life. We summarize and compare studies assessing age-related differences in within- and between-network RSFC of major resting-state brain networks. Differential effects of the factor age on resting-state networks can be identified when comparing studies focusing on younger versus older adults with studies investigating effects within the older adult population. These differential effects pertain to higher order and primary processing resting-state networks to a varying extent. Especially during later decades of life, other factors beyond age might come into play to understand the high inter-individual variability in RSFC.
1000 Sacherschließung
lokal Aging
lokal Lifespan
lokal Invited Review
lokal Older adults
lokal Resting state
lokal Humans [MeSH]
lokal Connectome [MeSH]
lokal Brain/growth
lokal Brain/physiology [MeSH]
lokal Brain Waves [MeSH]
lokal Aging/physiology [MeSH]
lokal Functional connectivity
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/Sm9ja3dpdHosIEMu|https://frl.publisso.de/adhoc/uri/Q2FzcGVycywgUy4=
1000 Hinweis
  • DeepGreen-ID: 92d83a2c75d14b75aad07a7c46ae7982 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-04-28T14:43:00.926+0200
1000 Erstellt von 322
1000 beschreibt frl:6446970
1000 Zuletzt bearbeitet 2023-10-20T19:19:58.304+0200
1000 Objekt bearb. Fri Oct 20 19:19:58 CEST 2023
1000 Vgl. frl:6446970
1000 Oai Id
  1. oai:frl.publisso.de:frl:6446970 |
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