Evidence map›Paper›PMID 30840676›Full record

ArticlePloS one2019

AutonoMouse: High throughput operant conditioning reveals progressive impairment with graded olfactory bulb lesions.

Andrew Erskine, Thorsten Bus, Jan T Herb, Andreas T Schaefer

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  16. Odor Stimuli: Not Just Chemical Identity.Frontiers in physiology · 2019
    Review
  17. Article
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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

4 authors.

Andrew ErskineThe Francis Crick Institute, Neurophysiology of Behaviour Laboratory, London, United Kingdom.
Thorsten BusBehavioural Neurophysiology, Max-Planck-Institute for Medical Research, Heidelberg, Germany.
Jan T HerbThe Francis Crick Institute, Neurophysiology of Behaviour Laboratory, London, United Kingdom.
Andreas T SchaeferThe Francis Crick Institute, Neurophysiology of Behaviour Laboratory, London, United Kingdom.ORCID 0000-0002-4677-8788

Funding

Cancer Research UK FC001153Medical Research Council FC001153Medical Research Council MC_UP_1202/5Wellcome Trust 110174/Z/15/ZWellcome Trust FC001153
6 · The paper itself

Abstract

Operant conditioning is a crucial tool in neuroscience research for probing brain function. While molecular, anatomical and even physiological techniques have seen radical increases in throughput, efficiency, and reproducibility in recent years, behavioural tools have somewhat lagged behind. Here we present a fully automated, high-throughput system for self-initiated conditioning of up to 25 group-housed, radio-frequency identification (RFID) tagged mice over periods of several months and >106 trials. We validate this "AutonoMouse" system in a series of olfactory behavioural tasks and show that acquired data is comparable to previous semi-manual approaches. Furthermore, we use AutonoMouse to systematically probe the impact of graded olfactory bulb lesions on olfactory behaviour, demonstrating that while odour discrimination in general is robust to even most extensive disruptions, small olfactory bulb lesions already impair odour detection. Discrimination learning of similar mixtures as well as learning speed are in turn reliably impacted by medium lesion sizes. The modular nature and open-source design of AutonoMouse should allow for similar robust and systematic assessments across neuroscience research areas.

Indexed as

AnimalsConditioning, OperantDiscrimination LearningFemaleMaleMiceMice, Inbred C57BLOdorantsOlfactory BulbReproducibility of ResultsSmell

Identifiers

PMID30840676
PMCPMC6402634

What OpenQuestion holds

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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.