Evidence map›Paper›PMID 21441995›Full record

ArticleFrontiers in neuroscience2011

Slowing down: age-related neurobiological predictors of processing speed.

Mark A Eckert

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
–field-weighted citation impact
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

74 citing papers in PubMed.

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  13. Executive Function Associations With Audibility-Adjusted Speech Perception in Noise.Journal of speech, language, and hearing research : JSLHR · 2024
    Article
  14. Article
  15. Consensus Paper: Cerebellum and Ageing.Cerebellum (London, England) · 2024
    Review
  16. Article
  17. Validation of the Pittsburgh Performance Fatigability Index in the Study of Muscle, Mobility and Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  18. Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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

1 author.

Mark A EckertHearing Research Program, Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina Charleston, SC, USA.

Funding

SPEECH UNDERSTANDING IN REALISTIC ENVIRONMENTSP50DC000422 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DUBNO, JUDY R · 1989 to 2025
$45.3M
RENOVATION TO SUPPORT SENSORY NEUROSCIENCE RESEARCHC06RR014516 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND, JOHN R · 1999 to 1999
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NCRR NIH HHS C06 RR014516NIDCD NIH HHS P50 DC000422
6 · The paper itself

Abstract

Processing speed, or the rate at which tasks can be performed, is a robust predictor of age-related cognitive decline and an indicator of independence among older adults. This review examines evidence for neurobiological predictors of age-related changes in processing speed, which is guided in part by our source based morphometry findings that unique patterns of frontal and cerebellar gray matter predict age-related variation in processing speed. These results, together with the extant literature on morphological predictors of age-related changes in processing speed, suggest that specific neural systems undergo declines and as a result slow processing speed. Future studies of processing speed - dependent neural systems will be important for identifying the etiologies for processing speed change and the development of interventions that mitigate gradual age-related declines in cognitive functioning and enhance healthy cognitive aging.

Indexed as

agingcerebellumprefrontalprocessing speedsource based morphometry

Identifiers

PMID21441995
PMCPMC3061488

What OpenQuestion holds

Textmetadata
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.