Literature DB >> 29981255

Age-associated changes in waking hippocampal sharp-wave ripples.

Stephen L Cowen1,2,3, Daniel T Gray1,2, Jean-Paul L Wiegand1,2, Lesley A Schimanski1,2, Carol A Barnes1,2,3,4.   

Abstract

Hippocampal sharp-wave ripples are brief high-frequency (120-250 Hz) oscillatory events that support mnemonic processes during sleep and awake behavior. Although ripples occurring during sleep are believed to facilitate memory consolidation, waking ripples may also be involved in planning and memory retrieval. Recent work from our group determined that normal aging results in a significant reduction in the peak oscillatory frequency and rate-of-occurrence of ripples during sleep that may contribute to age-associated memory decline. It is unknown, however, how aging alters waking ripples. We investigated whether characteristics of waking ripples undergo age-dependent changes. Sharp-wave ripple events were recorded from the CA1 region of the hippocampus in old (n = 5) and young (n = 6) F344 male rats as they performed a place-dependent eyeblink conditioning task. Several novel observations emerged from this analysis. First, although aged rats expressed more waking ripples than young rats during track running and reward consumption, this effect was eliminated, and, in the case of track-running, reversed when time spent in each location was accounted for. Thus, aged rats emit more ripples, but young rats express a higher ripple rate. This likely results from reduced locomotor activity in aged animals. Furthermore, although ripple rates increased as young rats approached rewards, rates did not increase in aged rats, and rates in aged and young animals were not affected by eyeblink conditioning. Finally, although the oscillatory frequency of ripples was lower in aged animals during rest, frequencies in aged rats increased during behavior to levels indistinguishable from young rats. Given the involvement of waking ripples in memory retrieval, a possible consequence of slower movement speeds of aged animals is to provide more opportunity to replay task-relevant information and compensate for age-related declines in ripple rate during task performance.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  oscillation; reactivation; working memory

Mesh:

Year:  2018        PMID: 29981255      PMCID: PMC6322975          DOI: 10.1002/hipo.23005

Source DB:  PubMed          Journal:  Hippocampus        ISSN: 1050-9631            Impact factor:   3.899


  49 in total

1.  Functional integrity of NMDA-dependent LTP induction mechanisms across the lifespan of F-344 rats.

Authors:  C A Barnes; G Rao; B L McNaughton
Journal:  Learn Mem       Date:  1996 Sep-Oct       Impact factor: 2.460

2.  Reactivation of hippocampal cell assemblies: effects of behavioral state, experience, and EEG dynamics.

Authors:  H S Kudrimoti; C A Barnes; B L McNaughton
Journal:  J Neurosci       Date:  1999-05-15       Impact factor: 6.167

3.  The ventral striatum in off-line processing: ensemble reactivation during sleep and modulation by hippocampal ripples.

Authors:  C M A Pennartz; E Lee; J Verheul; P Lipa; C A Barnes; B L McNaughton
Journal:  J Neurosci       Date:  2004-07-21       Impact factor: 6.167

4.  Relating neuronal firing patterns to functional differentiation of cerebral cortex.

Authors:  Shigeru Shinomoto; Hideaki Kim; Takeaki Shimokawa; Nanae Matsuno; Shintaro Funahashi; Keisetsu Shima; Ichiro Fujita; Hiroshi Tamura; Taijiro Doi; Kenji Kawano; Naoko Inaba; Kikuro Fukushima; Sergei Kurkin; Kiyoshi Kurata; Masato Taira; Ken-Ichiro Tsutsui; Hidehiko Komatsu; Tadashi Ogawa; Kowa Koida; Jun Tanji; Keisuke Toyama
Journal:  PLoS Comput Biol       Date:  2009-07-10       Impact factor: 4.475

5.  Age-associated deficits in pattern separation functions of the perirhinal cortex: a cross-species consensus.

Authors:  Sarah N Burke; Jenelle L Wallace; Andrea L Hartzell; Saman Nematollahi; Kojo Plange; Carol A Barnes
Journal:  Behav Neurosci       Date:  2011-12       Impact factor: 1.912

6.  Pattern separation deficits may contribute to age-associated recognition impairments.

Authors:  Sara N Burke; Jenelle L Wallace; Saman Nematollahi; Ajay R Uprety; Carol A Barnes
Journal:  Behav Neurosci       Date:  2010-10       Impact factor: 1.912

Review 7.  Decoding the cognitive map: ensemble hippocampal sequences and decision making.

Authors:  Andrew M Wikenheiser; A David Redish
Journal:  Curr Opin Neurobiol       Date:  2014-10-17       Impact factor: 6.627

Review 8.  Play it again: reactivation of waking experience and memory.

Authors:  Joseph O'Neill; Barty Pleydell-Bouverie; David Dupret; Jozsef Csicsvari
Journal:  Trends Neurosci       Date:  2010-03-05       Impact factor: 13.837

9.  Age Is Associated with Reduced Sharp-Wave Ripple Frequency and Altered Patterns of Neuronal Variability.

Authors:  Jean-Paul L Wiegand; Daniel T Gray; Lesley A Schimanski; Peter Lipa; C A Barnes; Stephen L Cowen
Journal:  J Neurosci       Date:  2016-05-18       Impact factor: 6.167

10.  Tracking the course of hippocampal representations during learning: when is the map required?

Authors:  Lesley A Schimanski; Peter Lipa; Carol A Barnes
Journal:  J Neurosci       Date:  2013-02-13       Impact factor: 6.167

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6.  Advanced age has dissociable effects on hippocampal CA1 ripples and CA3 high frequency events in male rats.

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7.  A Cross-species Model of Dual-Task Walking in Young and Older Humans and Rats.

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