Evidence map›Paper›PMID 27484869›Full record

ReviewNeuroscience and biobehavioral reviews2016

Linking cognitive and visual perceptual decline in healthy aging: The information degradation hypothesis.

Zachary A Monge, David J Madden

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
–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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  4. Clear decisions: improved perceptual clarity reduces age-related decision-making deficits.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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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

2 authors.

Zachary A MongeCenter for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA. Electronic address: zachary.monge@duke.edu.
David J MaddenBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: david.madden@duke.edu.

Funding

Neuroimaging of Visual Attention in AgingR01AG039684 · NIA · DUKE UNIVERSITY · PI MADDEN, DAVID J. · 2011 to 2022
$5.0M
NIA NIH HHS R01 AG039684
6 · The paper itself

Abstract

Several hypotheses attempt to explain the relation between cognitive and perceptual decline in aging (e.g., common-cause, sensory deprivation, cognitive load on perception, information degradation). Unfortunately, the majority of past studies examining this association have used correlational analyses, not allowing for these hypotheses to be tested sufficiently. This correlational issue is especially relevant for the information degradation hypothesis, which states that degraded perceptual signal inputs, resulting from either age-related neurobiological processes (e.g., retinal degeneration) or experimental manipulations (e.g., reduced visual contrast), lead to errors in perceptual processing, which in turn may affect non-perceptual, higher-order cognitive processes. Even though the majority of studies examining the relation between age-related cognitive and perceptual decline have been correlational, we reviewed several studies demonstrating that visual manipulations affect both younger and older adults' cognitive performance, supporting the information degradation hypothesis and contradicting implications of other hypotheses (e.g., common-cause, sensory deprivation, cognitive load on perception). The reviewed evidence indicates the necessity to further examine the information degradation hypothesis in order to identify mechanisms underlying age-related cognitive decline.

Indexed as

CognitionVisual PerceptionAgingHumansAgingCognitionInformation degradationPerceptionVisionVisual perception

Identifiers

PMID27484869
PMCPMC5030166

What OpenQuestion holds

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Registered trials

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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.