Evidence map›Paper›PMID 23791556›Full record

ArticleNeurobiology of learning and memory2013

Visual cortical contributions to associative cerebellar learning.

Adam B Steinmetz, Thomas C Harmon, John H Freeman

Abstract read
In one paragraph

Article in Neurobiology of learning and memory, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

3 authors.

Adam B SteinmetzDepartment of Psychology, University of Iowa, Iowa City, IA 52242, USA.
Thomas C Harmon
John H Freeman

Funding

Neural Pathways for Conditioned Stimuli in Eyeblink ConditioningR01MH080005 · NIMH · UNIVERSITY OF IOWA · PI FREEMAN, JOHN H · 2007 to 2014
$2.4M
NIMH NIH HHS MH080005NIMH NIH HHS R01 MH080005
6 · The paper itself

Abstract

Eye-blink conditioning (EBC) is a form of associative learning that depends on the cerebellum. Previous reports suggested that sensory cortex is necessary for trace EBC but not for delay EBC. The trace and delay EBC procedures used in these studies differed by the presence or absence of a temporal gap between the end of the conditioned stimulus and the onset of the unconditioned stimulus (trace interval) and in the interval between the onset of the CS and the US (inter-stimulus interval, ISI). The current study examined the role of the visual cortex in delay, long-delay, and trace EBC, matching CS duration and inter-stimulus interval between groups. In Experiment 1, extensive removal of the visual cortex impaired acquisition of long-delay and trace EBC but had no effect on delay EBC. In Experiment 2, bilateral inactivation of the visual cortex impaired acquisition and retention of long-delay and trace EBC, but had no effect on delay EBC. In Experiment 3, unilateral inactivation of the visual cortex impaired long-delay EBC but had no effect on trace EBC. The results indicate that the visual cortex facilitates EBC with relatively long ISIs, regardless of whether there is a trace interval or not. Moreover, the ipsilateral projections from the visual cortex to the pontine nuclei are sufficient for modulating long-delay EBC, whereas trace EBC involves bilateral visual cortical interactions with forebrain systems including the hippocampus and prefrontal cortex.

Indexed as

AnimalsAssociation LearningCerebellumConditioning, EyelidMaleRatsRats, Long-EvansVisual CortexAssociative learningCerebellumEyeblink conditioningVisual cortex

Identifiers

PMID23791556
PMCPMC3753663

What OpenQuestion holds

Textmetadata
LicenceTDM
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.