Evidence map›Paper›PMID 30995207›Full record

ArticleAging2019

Cognitive fatigue and cortical-striatal network in old age.

Ping Ren, Andrew J Anderson, Kelsey McDermott, Timothy M Baran, Feng Lin

Open access · greenAbstract read
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. A Multi-Dimensional Model of Fatigue in Old Age: Implications for Brain Aging.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
    Article
  8. Article
  9. Article
  10. Mild Parkinsonian Signs, Energy Decline, and Striatal Volume in Community-Dwelling Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  11. Article
  12. Article
  13. Article
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  15. Article
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 2 institutions in 1 country.

Ping RenSchool of Nursing, University of Rochester Medical Center, Rochester, NY 14623, USA.
Andrew J AndersonDepartment of Neuroscience, University of Rochester Medical Center, Rochester, NY 14623, USA.
Kelsey McDermottSchool of Nursing, University of Rochester Medical Center, Rochester, NY 14623, USA.
Timothy M BaranDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14623, USA.
Feng LinSchool of Nursing, University of Rochester Medical Center, Rochester, NY 14623, USA.
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

Applying the Neuroeconomics Paradigm for the Assessment of Central Fatigability in the Aging PopulationR21AG053193 · NIA · UNIVERSITY OF ROCHESTER · PI LIN, FENG VANKEE · 2016 to 2017
$421k
NIA NIH HHS R21 AG053193
6 · The paper itself

Abstract

Cognitive fatigue (CF) is among the most common and disturbing aging symptoms, and substantially interferes with activities demanding sustained mental effort. Here we examined the relationship between the cortical-striatal network and CF (assessed by the 18-item visual analogue scale) when a group of cognitively and physically healthy older adults participated in a 30-minute cognitively fatiguing task-related fMRI experiment. We also explored whether CF would interfere with the "Posterior-Anterior Shifting in Aging" (PASA) phenomenon, an aging-associated neural reliance on frontal regions to support cognitive capacity. We revealed that decreased connectivity strength of the cortical-striatal network over the course of the task was related to higher CF. Correlation between CF and the cortical-striatal network was more robust in anterior relative to posterior components. Moreover, a positive relationship between reliance on the anterior part of the cortical-striatal network and cognitive performance only existed among older adults experiencing low CF. These findings suggest a crucial role of the cortical-striatal network, especially the anterior component, in linking to CF. The PASA phenomenon may only be applicable to older adults without vulnerability to CF.

Indexed as

AgedAgingCerebral CortexCognitionCorpus StriatumFemaleHumansMagnetic Resonance ImagingMaleNeuropsychological TestsReaction Timecognitive fatiguefunctional connectivityfunctional MRIPosterior-Anterior Shifting in Agingstriatum

Identifiers

PMID30995207
PMCPMC6519999
OpenAlexW2939390231

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.