Evidence map›Paper›PMID 24293564›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2015

Cognitive abilities on transitive inference using a novel touchscreen technology for mice.

J L Silverman, P T Gastrell, M N Karras, M Solomon, J N Crawley

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Percentile schedules to shape touchscreen response locations in cynomolgus macaques.Journal of the experimental analysis of behavior · 2026
    Article
  3. Article
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  5. Review
  6. Review
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  13. Article
  14. Enhanced Operant Extinction and Prefrontal Excitability in a Mouse Model of Angelman Syndrome.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  15. Inferential Learning of Serial Order of Perceptual Categories by Rhesus Monkeys (The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  16. Article
  17. 5HTGenes, brain, and behavior · 2017
    Article
  18. Using Animal Models to Study the Role of the Gut-Brain Axis in Autism.Current developmental disorders reports · 2017
    Review
  19. Review
  20. Chemogenetic Inactivation of Dorsal Anterior Cingulate Cortex Neurons Disrupts Attentional Behavior in Mouse.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2016
    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.

J L SilvermanMIND Institute, Department of Psychiatry and Behavioral Science, University of California Davis School of Medicine, Sacramento, CA 95817, USA Laboratory of Behavioral Neuroscience, National Institute of Mental Health Intramural Research Program, Bethesda, MD 20892-3730, USA.
P T GastrellLaboratory of Behavioral Neuroscience, National Institute of Mental Health Intramural Research Program, Bethesda, MD 20892-3730, USA.
M N KarrasLaboratory of Behavioral Neuroscience, National Institute of Mental Health Intramural Research Program, Bethesda, MD 20892-3730, USA.
M SolomonMIND Institute, Department of Psychiatry and Behavioral Science, University of California Davis School of Medicine, Sacramento, CA 95817, USA Imaging Research Center, University of California Davis, Sacramento, CA 95817, USA.
J N CrawleyMIND Institute, Department of Psychiatry and Behavioral Science, University of California Davis School of Medicine, Sacramento, CA 95817, USA Laboratory of Behavioral Neuroscience, National Institute of Mental Health Intramural Research Program, Bethesda, MD 20892-3730, USA.
University of California, Davis · USNational Institute of Mental Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive abilities are impaired in neurodevelopmental disorders, including autism spectrum disorder (ASD) and schizophrenia. Preclinical models with strong endophenotypes relevant to cognitive dysfunctions offer a valuable resource for therapeutic development. However, improved assays to test higher order cognition are needed. We employed touchscreen technology to design a complex transitive inference (TI) assay that requires cognitive flexibility and relational learning. C57BL/6J (B6) mice with good cognitive skills and BTBR T+tf/J (BTBR), a model of ASD with cognitive deficits, were evaluated in simple and complex touchscreen assays. Both B6 and BTBR acquired visual discrimination and reversal. BTBR displayed deficits on components of TI, when 4 stimuli pairs were interspersed, which required flexible integrated knowledge. BTBR displayed impairment on the A > E inference, analogous to the A > E deficit in ASD. B6 and BTBR mice both reached criterion on the B > D comparison, unlike the B > D impairment in schizophrenia. These results demonstrate that mice are capable of complex discriminations and higher order tasks using methods and equipment paralleling those used in humans. Our discovery that a mouse model of ASD displays a TI deficit similar to humans with ASD supports the use of the touchscreen technology for complex cognitive tasks in mouse models of neurodevelopmental disorders.

Indexed as

Behavior, AnimalCognitionComputersDiscrimination LearningAnimalsAutistic DisorderDisease Models, AnimalEye MovementsMaleMiceMice, Inbred C57BLMice, Inbred StrainsMicrocomputersNeuropsychological Testsautismlearningmouse modelschizophreniatranslational

Identifiers

PMID24293564
PMCPMC4415087
OpenAlexW2167130082

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.