Literature DB >> 6883122

Neuronal responses of the rabbit brainstem during performance of the classically conditioned nictitating membrane (NM)/eyelid response.

D A McCormick, D G Lavond, R F Thompson.   

Abstract

Through the use of a chronic microdrive recording system, neuronal unit activity was recorded throughout the brainstem of the rabbit during performance of the classically conditioned nictitating membrane (NM) extension/eyeblink response using an acoustical conditioned stimulus (CS) and a corneal airpuff unconditioned stimulus (UCS). Regions which exhibited neuronal responses near the onset of the learned response were found to be relatively localized to: the abducens, accessory abducens, and facial nuclei (the motoneurons known to innervate the muscles responsible for expression of the conditioned response); the sensory nuclei of the fifth (probably representing somatosensory or proprioceptive feedback from the conditioned response); the superior colliculus; the periaqueductal gray; various reticular regions and the brainstem nuclei directly connected with the cerebellum (pontine nuclei, tegmental reticular nucleus (Bechterew), red nucleus, and perhaps the inferior olive). Stimulus (tone-airpuff) evoked responses were found within all classical auditory nuclei of the brainstem; the superior colliculus; the periaqueductal gray; pontine nuclei; fifth sensory nuclei, and various reticular regions. Recent lesion studies have shown the ipsilateral cerebellum to be essential for the learning and retention of this response. Collectively these results indicate that the cerebellum and its related brainstem nuclei are critically involved in the control and production of the classically conditioned NM/eyeblink response and may contain essential long term neuronal changes--the 'memory trace'--which serves to encode this learned response.

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Year:  1983        PMID: 6883122     DOI: 10.1016/0006-8993(83)91366-5

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


  16 in total

1.  Reflex excitability regulates prepulse inhibition.

Authors:  E J Schicatano; K R Peshori; R Gopalaswamy; E Sahay; C Evinger
Journal:  J Neurosci       Date:  2000-06-01       Impact factor: 6.167

2.  Developmental changes in eye-blink conditioning and neuronal activity in the inferior olive.

Authors:  D A Nicholson; J H Freeman
Journal:  J Neurosci       Date:  2000-11-01       Impact factor: 6.167

3.  Developmental changes in eyeblink conditioning and neuronal activity in the pontine nuclei.

Authors:  John H Freeman; Adam S Muckler
Journal:  Learn Mem       Date:  2003 Sep-Oct       Impact factor: 2.460

4.  Medial auditory thalamic stimulation as a conditioned stimulus for eyeblink conditioning in rats.

Authors:  Matthew M Campolattaro; Hunter E Halverson; John H Freeman
Journal:  Learn Mem       Date:  2007-03-08       Impact factor: 2.460

5.  Study motor skill learning by single-pellet reaching tasks in mice.

Authors:  Chia-Chien Chen; Anthony Gilmore; Yi Zuo
Journal:  J Vis Exp       Date:  2014-03-04       Impact factor: 1.355

6.  Eyeblink conditioning in rats using pontine stimulation as a conditioned stimulus.

Authors:  John H Freeman; Christine A Rabinak
Journal:  Integr Physiol Behav Sci       Date:  2004 Jul-Sep

7.  Neuronal correlates of cross-modal transfer in the cerebellum and pontine nuclei.

Authors:  Matthew M Campolattaro; Alireza Kashef; Inah Lee; John H Freeman
Journal:  J Neurosci       Date:  2011-03-16       Impact factor: 6.167

8.  The temporary inactivation of the red nucleus affects performance of both conditioned and unconditioned nictitating membrane responses in the rabbit.

Authors:  V Bracha; S L Stewart; J R Bloedel
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

9.  Metabolic mapping of rat forebrain and midbrain during delay and trace eyeblink conditioning.

Authors:  Bethany Plakke; John H Freeman; Amy Poremba
Journal:  Neurobiol Learn Mem       Date:  2009-04-17       Impact factor: 2.877

Review 10.  Cerebellar learning mechanisms.

Authors:  John H Freeman
Journal:  Brain Res       Date:  2014-10-05       Impact factor: 3.252

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