Evidence map›Paper›PMID 28390824›Full record

ArticleNeurobiology of aging2017

Resting-state networks associated with cognitive processing show more age-related decline than those associated with emotional processing.

Kaoru Nashiro, Michiko Sakaki, Meredith N Braskie, Mara Mather

Abstract read
In one paragraph

Article in Neurobiology of aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Correspondence of large-scale functional brain network decline across aging mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  12. Edge-Community Entropy Is a Novel Neural Correlate of Aging and Moderator of Fluid Cognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  13. Article
  14. Article
  15. Brain signal variability and executive functions across the life span.Network neuroscience (Cambridge, Mass.) · 2024
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  16. Article
  17. Article
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  19. A Neuroimaging Signature of Cognitive Aging from Whole-Brain Functional Connectivity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
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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

4 authors at 2 institutions in 2 countries.

Kaoru NashiroLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA. Electronic address: nashiro@usc.edu.
Michiko SakakiUniversity of Reading, Reading, UK.
Meredith N BraskieImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, CA, USA.
Mara MatherLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA; Department of Psychology, University of Southern California, Los Angeles, CA, USA.
University of Southern California · USUniversity of Reading · GB

Funding

VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRASKIE, MEREDITH NICOLE · 1985 to 2019
$41.0M
The Impact of Emotional Regulation on Cognition in AgingR01AG025340 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MATHER, MARA · 2004 to 2021
$7.9M
Growth factors, neuroinflammation, exercise, and brain integrityRF1AG041915 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2014
$2.9M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
NIA NIH HHS P50 AG005142NIA NIH HHS R01 AG025340NIA NIH HHS R01 AG040060NIA NIH HHS RF1 AG041915
6 · The paper itself

Abstract

Correlations in activity across disparate brain regions during rest reveal functional networks in the brain. Although previous studies largely agree that there is an age-related decline in the "default mode network," how age affects other resting-state networks, such as emotion-related networks, is still controversial. Here we used a dual-regression approach to investigate age-related alterations in resting-state networks. The results revealed age-related disruptions in functional connectivity in all 5 identified cognitive networks, namely the default mode network, cognitive-auditory, cognitive-speech (or speech-related somatosensory), and right and left frontoparietal networks, whereas such age effects were not observed in the 3 identified emotion networks. In addition, we observed age-related decline in functional connectivity in 3 visual and 3 motor/visuospatial networks. Older adults showed greater functional connectivity in regions outside 4 out of the 5 identified cognitive networks, consistent with the dedifferentiation effect previously observed in task-based functional magnetic resonance imaging studies. Both reduced within-network connectivity and increased out-of-network connectivity were correlated with poor cognitive performance, providing potential biomarkers for cognitive aging.

Indexed as

AdolescentAdultAgedAged, 80 and overBrainCognitionCognitive AgingEmotionsFemaleHumansMagnetic Resonance ImagingMaleMental ProcessesMiddle AgedRestYoung AdultAgingDedifferentiationEmotionfMRIFunctional connectivityResting-state network

Identifiers

PMID28390824
PMCPMC5799084
OpenAlexW2592440757

What OpenQuestion holds

Textmetadata
LicenceTDM
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.