Literature DB >> 16942805

Learning, aging and intrinsic neuronal plasticity.

John F Disterhoft1, M Matthew Oh.   

Abstract

In vitro experiments indicate that intrinsic neuronal excitability, as evidenced by changes in the post-burst afterhyperpolarization (AHP) and spike-frequency accommodation, is altered during learning and normal aging in the brain. Here we review these studies, highlighting two consistent findings: (i) that AHP and accommodation are reduced in pyramidal neurons from animals that have learned a task; and (ii) that AHP and accommodation are enhanced in pyramidal neurons from aging subjects, a cellular change that might contribute to age-related learning impairments. Findings from in vivo single-neuron recording studies complement the in vitro data. From these consistently reproduced findings, we propose that the intrinsic AHP level might determine the degree of synaptic plasticity and learning. Furthermore, it seems that reductions in the AHP must occur before learning if young and aging subjects are to learn a task successfully.

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Year:  2006        PMID: 16942805     DOI: 10.1016/j.tins.2006.08.005

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  92 in total

1.  AKAP79/150 impacts intrinsic excitability of hippocampal neurons through phospho-regulation of A-type K+ channel trafficking.

Authors:  Lin Lin; Wei Sun; Faith Kung; Mark L Dell'Acqua; Dax A Hoffman
Journal:  J Neurosci       Date:  2011-01-26       Impact factor: 6.167

2.  Forebrain-Cerebellar Interactions During Learning.

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

3.  Hippocampal and cognitive aging across the lifespan: a bioenergetic shift precedes and increased cholesterol trafficking parallels memory impairment.

Authors:  Inga Kadish; Olivier Thibault; Eric M Blalock; Kuey-C Chen; John C Gant; Nada M Porter; Philip W Landfield
Journal:  J Neurosci       Date:  2009-02-11       Impact factor: 6.167

4.  Fear conditioning and extinction differentially modify the intrinsic excitability of infralimbic neurons.

Authors:  Edwin Santini; Gregory J Quirk; James T Porter
Journal:  J Neurosci       Date:  2008-04-09       Impact factor: 6.167

5.  Age-related memory impairments due to reduced blood glucose responses to epinephrine.

Authors:  Ken A Morris; Qing Chang; Eric G Mohler; Paul E Gold
Journal:  Neurobiol Aging       Date:  2009-01-28       Impact factor: 4.673

6.  Store depletion-induced h-channel plasticity rescues a channelopathy linked to Alzheimer's disease.

Authors:  Timothy F Musial; Elizabeth Molina-Campos; Linda A Bean; Natividad Ybarra; Ronen Borenstein; Matthew L Russo; Eric W Buss; Daniel Justus; Krystina M Neuman; Gelique D Ayala; Sheila A Mullen; Yuliya Voskobiynyk; Christopher T Tulisiak; Jasmine A Fels; Nicola J Corbett; Gabriel Carballo; Colette D Kennedy; Jelena Popovic; Josefina Ramos-Franco; Michael Fill; Melissa R Pergande; Jeffrey A Borgia; Grant T Corbett; Kalipada Pahan; Ye Han; Dane M Chetkovich; Robert J Vassar; Richard W Byrne; M Matthew Oh; Travis R Stoub; Stefan Remy; John F Disterhoft; Daniel A Nicholson
Journal:  Neurobiol Learn Mem       Date:  2018-06-12       Impact factor: 2.877

7.  Changes in cerebellar intrinsic neuronal excitability and synaptic plasticity result from eyeblink conditioning.

Authors:  Bernard G Schreurs
Journal:  Neurobiol Learn Mem       Date:  2019-09-19       Impact factor: 2.877

8.  The Voltage Activation of Cortical KCNQ Channels Depends on Global PIP2 Levels.

Authors:  Kwang S Kim; Kevin M Duignan; Joanna M Hawryluk; Heun Soh; Anastasios V Tzingounis
Journal:  Biophys J       Date:  2016-03-08       Impact factor: 4.033

9.  Sustained increase in hippocampal sharp-wave ripple activity during slow-wave sleep after learning.

Authors:  Oxana Eschenko; Wiâm Ramadan; Matthias Mölle; Jan Born; Susan J Sara
Journal:  Learn Mem       Date:  2008-04-02       Impact factor: 2.460

10.  Learning increases intrinsic excitability of hippocampal interneurons.

Authors:  Bridget M McKay; M Matthew Oh; John F Disterhoft
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

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