Literature DB >> 101283

Neuronal plasticity in the limbic system during classical conditioning of the rabbit nictitating membrane response. II: Septum and mammillary bodies.

T W Berger, R F Thompson.   

Abstract

Neuronal unit activity was recorded from several limbic system structures during classical conditioning of the rabbit nictiating membrane response to a tone CS. Air puff to cornea was used as a UCS. The present and past investigations of hippocampal activity using this paradigm show a neuronal plasticity which develops early in training, increases rapidly and shifts forward in time as behavioral conditioning develops. Recordings from the lateral septal region demonstrate the same within-trial pattern of unit discharge seen in hippocampus, indicating a projection of hippocampal plasticity over precommissural fornix pathways. Medial septal neurons, on the other hand, respond in an excitatory manner to the onsets of tone and air puff stimulation. While unit discharges seen in hippocampus and lateral septum occur only during the paired (learning) paradigm, medial septal activity is identical under both paired and unpaired (control) conditions. The latter fact lends support for a sensory interpretation of medial septal responses, and is consistent with anatomical evidence of a major septohippocampal projection originating from this region. In contrast to results for lateral septum, recordings from medial and lateral mammillary nuclei indicate only small, diffuse excitation that exhibits no consistent changes over training, and is not related to activity seen in hippocampal or septal regions. The apparent lack of correspondence between learning dependent unit measures obtained from pre- and postcommissural fornix structures is entirely consistent with current modified descriptions of limbic system anatomy.

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Year:  1978        PMID: 101283     DOI: 10.1016/0006-8993(78)90510-3

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  9 in total

1.  Forebrain-Cerebellar Interactions During Learning.

Authors:  Craig Weiss; Aldis P Weible; Roberto Galvez; John F Disterhoft
Journal:  Cellscience       Date:  2006-10-27

2.  Simultaneous training on two hippocampus-dependent tasks facilitates acquisition of trace eyeblink conditioning.

Authors:  Amy G Kuo; Grace Lee; John F Disterhoft
Journal:  Learn Mem       Date:  2006 Mar-Apr       Impact factor: 2.460

3.  Differential modulation of changes in hippocampal-septal synaptic excitability by the amygdala as a function of either elemental or contextual fear conditioning in mice.

Authors:  A Desmedt; R Garcia; R Jaffard
Journal:  J Neurosci       Date:  1998-01-01       Impact factor: 6.167

4.  Hippocampal and cerebellar single-unit activity during delay and trace eyeblink conditioning in the rat.

Authors:  John T Green; Jeremy D Arenos
Journal:  Neurobiol Learn Mem       Date:  2006-10-13       Impact factor: 2.877

5.  Classical conditioning of the rabbit eyelid response increases glutamate receptor binding in hippocampal synaptic membranes.

Authors:  L A Mamounas; R F Thompson; G Lynch; M Baudry
Journal:  Proc Natl Acad Sci U S A       Date:  1984-04       Impact factor: 11.205

6.  Learning-related changes in cellular activity within mouse dentate gyrus during trace eyeblink conditioning.

Authors:  Lisa N Miller; Craig Weiss; John F Disterhoft
Journal:  Hippocampus       Date:  2022-08-26       Impact factor: 3.753

7.  Functional anatomy of human eyeblink conditioning determined with regional cerebral glucose metabolism and positron-emission tomography.

Authors:  C G Logan; S T Grafton
Journal:  Proc Natl Acad Sci U S A       Date:  1995-08-01       Impact factor: 11.205

8.  Developmental Changes in Hippocampal CA1 Single Neuron Firing and Theta Activity during Associative Learning.

Authors:  Jangjin Kim; Mary E Goldsberry; Thomas C Harmon; John H Freeman
Journal:  PLoS One       Date:  2016-10-20       Impact factor: 3.240

9.  Hippocampal Network Oscillations Rescue Memory Consolidation Deficits Caused by Sleep Loss.

Authors:  Nicolette Ognjanovski; Christopher Broussard; Michal Zochowski; Sara J Aton
Journal:  Cereb Cortex       Date:  2018-10-01       Impact factor: 5.357

  9 in total

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