Literature DB >> 14586019

Time-dependent reorganization of the brain components underlying memory retention in trace eyeblink conditioning.

Kaori Takehara1, Shigenori Kawahara, Yutaka Kirino.   

Abstract

Many studies have confirmed the time-limited involvement of the hippocampus in mnemonic processes and suggested that there is reorganization of the responsible brain circuitry during memory consolidation. To clarify such reorganization, we chose trace classical eyeblink conditioning, in which hippocampal ablation produces temporally graded retrograde amnesia. Here, we extended the temporal characterization of retrograde amnesia to other regions that are involved in acquisition during this task: the medial prefrontal cortex (mPFC) and the cerebellum. At a various time interval after establishing the trace conditioned response (CR), rats received an aspiration of one of the three regions. After recovery, the animals were tested for their CR retention. When ablated 1 d after the learning, both the hippocampal lesion and the cerebellar lesion group of rats exhibited a severe impairment in retention of the CR, whereas the mPFC lesion group showed only a slight decline. With an increase in interval between the lesion and the learning, the effect of the hippocampal lesion diminished and that of the mPFC lesion increased. When ablated 4 weeks after the learning, the hippocampal lesion group exhibited as robust CRs as its corresponding control group. In contrast, the mPFC lesion and the cerebellar lesion groups failed to retain the CRs. These results indicate that the hippocampus and the cerebellum, but only marginally the mPFC, constitute a brain circuitry that mediates recently acquired memory. As time elapses, the circuitry is reorganized to use mainly the mPFC and the cerebellum, but not the hippocampus, for remotely acquired memory.

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Year:  2003        PMID: 14586019      PMCID: PMC6740886     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  50 in total

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4.  Top-down signal from prefrontal cortex in executive control of memory retrieval.

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5.  Cortical involvement in acquisition and extinction of trace eyeblink conditioning.

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Journal:  Behav Neurosci       Date:  2000-12       Impact factor: 1.912

Review 6.  Role of the prefrontal cortex of the rat in learning and decision making: effects of transient inactivation.

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Review 7.  Attentional processes and learning and memory in rats: the prefrontal cortex and hippocampus compared.

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Review 8.  Contralateral cerebellar involvement in conditioned eyeblink responses.

Authors:  M Ivarsson; P Svensson; G Hesslow
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Review 9.  Plasticity at hippocampal to prefrontal cortex synapses: dual roles in working memory and consolidation.

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Journal:  Behav Brain Res       Date:  1999-03       Impact factor: 3.332

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  130 in total

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4.  Temporal patterns of inputs to cerebellum necessary and sufficient for trace eyelid conditioning.

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Journal:  J Neurophysiol       Date:  2010-05-19       Impact factor: 2.714

5.  Persistent activity in a cortical-to-subcortical circuit: bridging the temporal gap in trace eyelid conditioning.

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Journal:  J Neurophysiol       Date:  2011-09-28       Impact factor: 2.714

6.  Chemotherapy disrupts learning, neurogenesis and theta activity in the adult brain.

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Journal:  Eur J Neurosci       Date:  2012-10-08       Impact factor: 3.386

7.  The role of the cerebellar interpositus nucleus in short and long term memory for trace eyeblink conditioning.

Authors:  Narawut Pakaprot; Soyun Kim; Richard F Thompson
Journal:  Behav Neurosci       Date:  2009-02       Impact factor: 1.912

8.  Impaired remote spatial memory after hippocampal lesions despite extensive training beginning early in life.

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Journal:  Hippocampus       Date:  2005       Impact factor: 3.899

9.  Time Cells in the Hippocampus Are Neither Dependent on Medial Entorhinal Cortex Inputs nor Necessary for Spatial Working Memory.

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Journal:  Neuron       Date:  2019-05-02       Impact factor: 17.173

10.  Developmental changes in hippocampal associative coding.

Authors:  Mary E Goldsberry; Jangjin Kim; John H Freeman
Journal:  J Neurosci       Date:  2015-03-11       Impact factor: 6.167

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