Evidence map›Paper›PMID 21940608›Full record

ArticleJournal of neurophysiology2012

Multiple sites of extinction for a single learned response.

Brian E Kalmbach, Michael D Mauk

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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

2 authors.

Brian E KalmbachCenter for Learning and Memory, Section of Neurobiology, Univ. of Texas, 1 Univ. Station, C7000, Austin, TX 78712, USA. brian@mail.clm.utexas.edu
Michael D Mauk

Funding

REVERSIBLE LESIONS--CEREBELLAR MECHANISMS MOTOR LEARNINGR01MH046904 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAUK, MICHAEL D · 1997 to 2016
$5.5M
Forebrain-Cerebellum Interactions in Trace ConditioningR01MH074006 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAUK, MICHAEL D · 2005 to 2015
$3.3M
COMPUTATIONAL ANALYSIS OF CEREBELLAR MOTOR LEARNINGR01MH057051 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAUK, MICHAEL D · 1997 to 2005
$1.3M
USING CLASSICAL CONDITIONING TO STUDY THE CEREBELLUMR29MH046904 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAUK, MICHAEL D · 1992 to 1996
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NIMH NIH HHS MH46904NIMH NIH HHS MH 57051NIMH NIH HHS R01 MH074006
6 · The paper itself

Abstract

Most learned responses can be diminished by extinction, a process that can be engaged when a conditioned stimulus (CS) is presented but not reinforced. We present evidence that plasticity in at least two brain regions can mediate extinction of responses produced by trace eyelid conditioning, where the CS and the reinforcing stimulus are separated by a stimulus-free interval. We observed individual differences in the effects of blocking extinction mechanisms in the cerebellum, the structure that, along with several forebrain structures, mediates acquisition of trace eyelid responses; in some rabbits extinction was prevented, whereas in others it was largely unaffected. We also show that cerebellar mechanisms can mediate extinction when noncerebellar mechanisms are bypassed. Together, these observations indicate that trace eyelid responses can be extinguished via processes operating at more than one site, one in the cerebellum and one upstream in forebrain. The relative contributions of these sites may vary from animal to animal and situation to situation.

Indexed as

AnimalsCerebellumConditioning, OperantExtinction, PsychologicalMaleNerve NetNeuronal PlasticityProsencephalonRabbits

Identifiers

PMID21940608
PMCPMC3349689

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.