Evidence map›Paper›PMID 34713955›Full record

ArticleHuman brain mapping2022

The role of the arousal system in age-related differences in cortical functional network architecture.

Tiago Guardia, Linda Geerligs, Kamen A Tsvetanov, Rong Ye, Karen L Campbell

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Tiago GuardiaDepartment of Psychology, Brock University, St. Catharines, Ontario, Canada.ORCID 0000-0003-4517-1922
Linda GeerligsDonders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, The Netherlands.ORCID 0000-0002-1624-8380
Kamen A TsvetanovDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Rong YeDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Karen L CampbellDepartment of Psychology, Brock University, St. Catharines, Ontario, Canada.
Brock University · CAUniversity of Cambridge · GBRadboud University Nijmegen · NL

Funding

Biotechnology and Biological Sciences Research Council BB/H008217/1Biotechnology and Biological Sciences Research Council B/H008217/1Medical Research Council MC_U105597119Medical Research Council MC_UU_00005/12Medical Research Council MR/J009482/1
6 · The paper itself

Abstract

A common finding in the aging literature is that of the brain's decreased within- and increased between-network functional connectivity. However, it remains unclear what is causing this shift in network organization with age. Given the essential role of the ascending arousal system (ARAS) in cortical activation and previous findings of disrupted ARAS functioning with age, it is possible that age differences in ARAS functioning contribute to disrupted cortical connectivity. We test this possibility here using resting state fMRI data from over 500 individuals across the lifespan from the Cambridge Center for Aging and Neuroscience (Cam-CAN) population-based cohort. Our results show that ARAS-cortical connectivity declines with age and, consistent with our expectations, significantly mediates some age-related differences in connectivity within and between association networks (specifically, within the default mode and between the default mode and salience networks). Additionally, connectivity between the ARAS and association networks predicted cognitive performance across several tasks over and above the effects of age and connectivity within the cortical networks themselves. These findings suggest that age differences in cortical connectivity may be driven, at least in part, by altered arousal signals from the brainstem and that ARAS-cortical connectivity relates to cognitive performance with age.

Indexed as

ConnectomeAdolescentAdultAgedAged, 80 and overAge FactorsArousalBrain StemCerebral CortexCognitive AgingDefault Mode NetworkFemaleHumansMagnetic Resonance ImagingMaleMiddle Agedascending arousal systemfMRIfunctional networksneurocognitive aging

Identifiers

PMID34713955
PMCPMC8764482
OpenAlexW3210067317

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.