Evidence map›Paper›PMID 17539481›Full record

ArticleNutritional neuroscience

High dietary cholesterol facilitates classical conditioning of the rabbit's nictitating membrane response.

Bernard G Schreurs, Carrie A Smith-Bell, Deya S Darwish, Goran Stankovic, D Larry Sparks

Open access · greenAbstract read
In one paragraph

Article in Nutritional neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.7field-weighted citation impact, top 36% 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, 20 citations in OpenAlex.

  1. Sex differences in a rabbit eyeblink conditioning model of PTSD.Neurobiology of learning and memory · 2018
    Article
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  3. Review
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  7. Cholesterol and copper affect learning and memory in the rabbit.International journal of Alzheimer's disease · 2013
    Review
  8. Article
  9. Article
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  13. The effects of cholesterol on learning and memory.Neuroscience and biobehavioral reviews · 2010
    Review
  14. Article
  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 3 institutions in 1 country.

Bernard G SchreursDepartment of Physiology and Pharmacology, West Virginia University, Blanchette Rockefeller Neurosciences Institute, Morgantown, WV, USA. bschreurs@hsc.wvu.edu
Carrie A Smith-Bell
Deya S Darwish
Goran Stankovic
D Larry Sparks
Banner Health · USWest Virginia University · USBlanchette Rockefeller Neurosciences Institute · US

Funding

Cholesterol and Copper Affect Learning and MemoryR01AG023211 · NIA · WEST VIRGINIA UNIVERSITY · PI SCHREURS, BERNARD G. · 2004 to 2015
$3.1M
NIA NIH HHS AG023211NIA NIH HHS R01 AG023211
6 · The paper itself

Abstract

Studies have shown that modifying dietary cholesterol may improve learning and that serum cholesterol levels can be positively correlated with cognitive performance. Rabbits fed a 0, 0.5, 1 or 2% cholesterol diet for eight weeks and 0.12 ppm copper added to their drinking water received trace and then delay classical conditioning pairing tone with corneal air puff during which movement of the nictitating membrane (NM) across the eye was monitored. We found that the level of classical conditioning and conditioning-specific reflex modification (CRM) as well as the number of beta amyloid-labeled neurons in the cortex and hippocampus were a function of the concentration of cholesterol in the diet. The data provide support for the idea that dietary cholesterol may facilitate learning and memory.

Indexed as

AnimalsBody WeightCerebral CortexCholesterol, DietaryConditioning, ClassicalCopperHippocampusMaleModels, AnimalNictitating MembraneRabbitsCholesterol, DietaryCopper

Identifiers

PMID17539481
PMCPMC3115564
OpenAlexW2093641478

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.