Literature DB >> 10342394

Discriminative fear conditioning to context expressed by multiple measures of fear in the rat.

E A Antoniadis1, R J McDonald.   

Abstract

There has been a renewed interest in the neural basis of fear conditioning to context. These current approaches are accompanied by some limitations including the use of short testing windows, non-discriminative paradigms, and unitary fear response assessment. In an attempt to circumvent these limitations, a discriminative context procedure assessing multiple response measures of fear was used in the present study. Conditioning consisted of three training sessions and each session consisted of 2 days. On day one, the animals were placed in the paired context and received three foot shocks. On the other day, they were placed in the unpaired chamber in the absence of any aversive event. Animals were tested after each training session and the response measures of fear recorded included: preference, freezing, heart rate, ultrasonic vocalizations, defecation, body temperature, urination and locomotion. The results suggest that behavioral, as well as physiological changes evoked by fearful stimuli become associated with the context in which the aversive event occurred. In general these findings also suggest that there are different learning parameters for the measures of fear examined in this paradigm.

Entities:  

Mesh:

Year:  1999        PMID: 10342394     DOI: 10.1016/s0166-4328(98)00056-4

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  33 in total

1.  Prefrontal cortical contributions during discriminative fear conditioning, extinction, and spontaneous recovery in rats.

Authors:  Erin L Zelinski; Nancy S Hong; Amanda V Tyndall; Brett Halsall; Robert J McDonald
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Authors:  Túlio R R Mazuco; Thalles F Biondi; Ericka P Silva; Maria M Bernardi; Thiago Berti Kirsten
Journal:  Vet Res Commun       Date:  2019-11-23       Impact factor: 2.459

3.  A subpopulation of neurons in the medial prefrontal cortex encodes emotional learning with burst and frequency codes through a dopamine D4 receptor-dependent basolateral amygdala input.

Authors:  Steven R Laviolette; Witold J Lipski; Anthony A Grace
Journal:  J Neurosci       Date:  2005-06-29       Impact factor: 6.167

Review 4.  Contextual conditioning in rats as an animal model for generalized anxiety disorder.

Authors:  Laura Luyten; Debora Vansteenwegen; Kris van Kuyck; Loes Gabriëls; Bart Nuttin
Journal:  Cogn Affect Behav Neurosci       Date:  2011-06       Impact factor: 3.282

5.  Cannabinoid transmission in the prefrontal cortex bi-phasically controls emotional memory formation via functional interactions with the ventral tegmental area.

Authors:  Brittany Draycott; Michael Loureiro; Tasha Ahmad; Huibing Tan; Jordan Zunder; Steven R Laviolette
Journal:  J Neurosci       Date:  2014-09-24       Impact factor: 6.167

Review 6.  Behavioral and structural adaptations to stress.

Authors:  Heather A Cameron; Timothy J Schoenfeld
Journal:  Front Neuroendocrinol       Date:  2018-02-05       Impact factor: 8.606

7.  Cardiovascular component of the context signal memory in the crab Chasmagnathus.

Authors:  Gabriela Hermitte; Héctor Maldonado
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-09-23       Impact factor: 1.836

8.  Intra-amygdala muscimol injections impair freezing and place avoidance in aversive contextual conditioning.

Authors:  Matthew R Holahan; Norman M White
Journal:  Learn Mem       Date:  2004-07-14       Impact factor: 2.460

9.  Structure of rat ultrasonic vocalizations and its relevance to behavior.

Authors:  Nobuaki Takahashi; Makio Kashino; Naoyuki Hironaka
Journal:  PLoS One       Date:  2010-11-29       Impact factor: 3.240

10.  Stress-dependent opioid and adrenergic modulation of newly retrieved fear memory.

Authors:  Allen M Schneider; Peter E Simson; Caitlin M Daimon; Jakob Mrozewski; Nicholas M Vogt; John Keefe; Lynn G Kirby
Journal:  Neurobiol Learn Mem       Date:  2013-11-27       Impact factor: 2.877

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