Evidence map›Paper›PMID 25080570›Full record

ArticleJournal of neurophysiology2014

Modification of persistent responses in medial prefrontal cortex during learning in trace eyeblink conditioning.

Jennifer J Siegel

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Jennifer J SiegelCenter for Learning and Memory and Institute for Neuroscience, The University of Texas at Austin, Austin, Texas jenni@mail.clm.utexas.edu.
The University of Texas at Austin · US

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
Neuronal Mechanisms for Working Memory in Prefrontal CortexR01MH094839 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI JOHNSTON, DANIEL, MAUK, MICHAEL D · 2011 to 2015
$1.9M
USING CLASSICAL CONDITIONING TO STUDY THE CEREBELLUMR29MH046904 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAUK, MICHAEL D · 1992 to 1996
–
NIMH NIH HHS MH46904NIMH NIH HHS MH74006NIMH NIH HHS R01 MH094839
6 · The paper itself

Abstract

Persistent spiking in response to a discrete stimulus is considered to reflect the active maintenance of a memory for that stimulus until a behavioral response is made. This response pattern has been reported in learning paradigms that impose a temporal gap between stimulus presentation and behavioral response, including trace eyeblink conditioning. However, it is unknown whether persistent responses are acquired as a function of learning or simply represent an already existing category of response type. This fundamental question was addressed by recording single-unit activity in the medial prefrontal cortex (mPFC) of rabbits during the initial learning phase of trace eyeblink conditioning. Persistent responses to the tone conditioned stimulus were observed in the mPFC during the very first training sessions. Further analysis revealed that most cells with persistent responses showed this pattern during the very first training trial, before animals had experienced paired training. However, persistent cells showed reliable decreases in response magnitude over the first training session, which were not observed on the second day of training or for sessions in which learning criterion was met. This modification of response magnitude was specific to persistent responses and was not observed for cells showing phasic tone-evoked responses. The data suggest that persistent responses to discrete stimuli do not require learning but that the ongoing robustness of such responses over the course of training is modified as a result of experience. Putative mechanisms for this modification are discussed, including changes in cellular or network properties, neuromodulatory tone, and/or the synaptic efficacy of tone-associated inputs.

Indexed as

BlinkingConditioning, EyelidAnimalsMalePrefrontal CortexRabbitsdelay cellspersistent activityworking memory

Identifiers

PMID25080570
PMCPMC4274915
OpenAlexW2323379387

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.