Literature DB >> 18061635

Hippocampal lesions in rats differentially affect long- and short-trace eyeblink conditioning.

Adam G Walker1, Joseph E Steinmetz.   

Abstract

Extensive previous research has implicated the hippocampus as an important structure for the acquisition of trace eyeblink conditioning. Evidence from multiple species and various lesioning methods shows that the disruption of conditioned responding (CR) may be partially dependent on the relative lengths of the conditioned stimulus (CS) period and the trace interval. The present study systematically manipulated the length of the CS and the trace interval while matching the interstimulus intervals (ISI) in rats with or without ibotenic acid hippocampal lesions. The long-trace interval condition had a CS duration of 50 ms and a trace interval of 500 ms. The short-trace interval condition had a 500 ms CS and a 50 ms trace interval. We found that control animals in the long-trace interval condition learned at a slower rate than the control animals in the short-trace interval condition. Lesioned animals in both the trace conditions showed deficits in acquisition. Lesioned animals in the short-trace interval condition acquired conditioned responses at a rate almost identical to that of the control animals in the long-trace interval condition. CR onset latencies were impaired for lesioned animals. Peak latencies were not different, indicating no difference in the adaptiveness of the CRs. These results suggest that while the hippocampus is important for acquisition of trace eyeblink conditioning, performance also depends on the parameters used for the task. In particular, the relative lengths of the CS period and the trace interval appear to be important.

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Year:  2007        PMID: 18061635     DOI: 10.1016/j.physbeh.2007.10.018

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  11 in total

Review 1.  The impact of hippocampal lesions on trace-eyeblink conditioning and forebrain-cerebellar interactions.

Authors:  Craig Weiss; John F Disterhoft
Journal:  Behav Neurosci       Date:  2015-08       Impact factor: 1.912

2.  A neural model of normal and abnormal learning and memory consolidation: adaptively timed conditioning, hippocampus, amnesia, neurotrophins, and consciousness.

Authors:  Daniel J Franklin; Stephen Grossberg
Journal:  Cogn Affect Behav Neurosci       Date:  2017-02       Impact factor: 3.282

3.  Changing the rate and hippocampal dependence of trace eyeblink conditioning: slow learning enhances survival of new neurons.

Authors:  Jaylyn Waddell; Megan L Anderson; Tracey J Shors
Journal:  Neurobiol Learn Mem       Date:  2010-09-29       Impact factor: 2.877

4.  Eyeblink conditioning during an interstimulus interval switch in rabbits (Oryctolagus cuniculus) using picrotoxin to disrupt cerebellar cortical input to the interpositus nucleus.

Authors:  Richard W Vogel; Jeffrey C Amundson; Derick H Lindquist; Joseph E Steinmetz
Journal:  Behav Neurosci       Date:  2009-02       Impact factor: 1.912

5.  Associative and non-associative blinking in classically conditioned adult rats.

Authors:  Derick H Lindquist; Richard W Vogel; Joseph E Steinmetz
Journal:  Physiol Behav       Date:  2008-11-27

6.  Modest elevation of corticosterone in preweanling rats impairs subsequent trace eyeblink conditioning during the juvenile period.

Authors:  Dragana I Claflin; Leslie R Greenfield; Michael B Hennessy
Journal:  Behav Brain Res       Date:  2013-10-18       Impact factor: 3.332

7.  Why trace and delay conditioning are sometimes (but not always) hippocampal dependent: a computational model.

Authors:  Ahmed A Moustafa; Ella Wufong; Richard J Servatius; Kevin C H Pang; Mark A Gluck; Catherine E Myers
Journal:  Brain Res       Date:  2012-11-23       Impact factor: 3.252

8.  A method for combining multiple-units readout of optogenetic control with natural stimulation-evoked eyeblink conditioning in freely-moving mice.

Authors:  Jie Zhang; Kai-Yuan Zhang; Li-Bin Zhang; Wei-Wei Zhang; Hua Feng; Zhong-Xiang Yao; Bo Hu; Hao Chen
Journal:  Sci Rep       Date:  2019-02-12       Impact factor: 4.379

9.  Trace conditioning in insects-keep the trace!

Authors:  Kristina V Dylla; Dana S Galili; Paul Szyszka; Alja Lüdke
Journal:  Front Physiol       Date:  2013-08-23       Impact factor: 4.566

10.  Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area.

Authors:  Julien Vitay; Fred H Hamker
Journal:  Front Neurorobot       Date:  2014-01-31       Impact factor: 2.650

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