Literature DB >> 27114514

Postretrieval new learning does not reliably induce human memory updating via reconsolidation.

Tom E Hardwicke1, Mahdi Taqi2, David R Shanks2.   

Abstract

Reconsolidation theory proposes that retrieval can destabilize an existing memory trace, opening a time-dependent window during which that trace is amenable to modification. Support for the theory is largely drawn from nonhuman animal studies that use invasive pharmacological or electroconvulsive interventions to disrupt a putative postretrieval restabilization ("reconsolidation") process. In human reconsolidation studies, however, it is often claimed that postretrieval new learning can be used as a means of "updating" or "rewriting" existing memory traces. This proposal warrants close scrutiny because the ability to modify information stored in the memory system has profound theoretical, clinical, and ethical implications. The present study aimed to replicate and extend a prominent 3-day motor-sequence learning study [Walker MP, Brakefield T, Hobson JA, Stickgold R (2003) Nature 425(6958):616-620] that is widely cited as a convincing demonstration of human reconsolidation. However, in four direct replication attempts (n = 64), we did not observe the critical impairment effect that has previously been taken to indicate disruption of an existing motor memory trace. In three additional conceptual replications (n = 48), we explored the broader validity of reconsolidation-updating theory by using a declarative recall task and sequences similar to phone numbers or computer passwords. Rather than inducing vulnerability to interference, memory retrieval appeared to aid the preservation of existing sequence knowledge relative to a no-retrieval control group. These findings suggest that memory retrieval followed by new learning does not reliably induce human memory updating via reconsolidation.

Entities:  

Keywords:  forgetting; memory updating; reconsolidation; replication; sequence learning

Mesh:

Year:  2016        PMID: 27114514      PMCID: PMC4868433          DOI: 10.1073/pnas.1601440113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  44 in total

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Journal:  Nat Rev Neurosci       Date:  2000-12       Impact factor: 34.870

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Journal:  Learn Mem       Date:  1995 May-Aug       Impact factor: 2.460

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Journal:  Science       Date:  2000-01-14       Impact factor: 47.728

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Authors:  L Cahill; J L McGaugh; N M Weinberger
Journal:  Trends Neurosci       Date:  2001-10       Impact factor: 13.837

Review 5.  Molecular mechanisms of memory reconsolidation.

Authors:  Natalie C Tronson; Jane R Taylor
Journal:  Nat Rev Neurosci       Date:  2007-04       Impact factor: 34.870

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Authors:  E F Loftus
Journal:  Am Sci       Date:  1979 May-Jun       Impact factor: 0.548

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Authors:  Daniela Schiller; Marie-H Monfils; Candace M Raio; David C Johnson; Joseph E Ledoux; Elizabeth A Phelps
Journal:  Nature       Date:  2009-12-09       Impact factor: 49.962

8.  Does reconsolidation occur in humans?

Authors:  Daniela Schiller; Elizabeth A Phelps
Journal:  Front Behav Neurosci       Date:  2011-05-17       Impact factor: 3.558

9.  Prediction error demarcates the transition from retrieval, to reconsolidation, to new learning.

Authors:  Dieuwke Sevenster; Tom Beckers; Merel Kindt
Journal:  Learn Mem       Date:  2014-10-15       Impact factor: 2.460

Review 10.  Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs.

Authors:  Daniël Lakens
Journal:  Front Psychol       Date:  2013-11-26
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  24 in total

1.  A Rapid Form of Offline Consolidation in Skill Learning.

Authors:  Marlene Bönstrup; Iñaki Iturrate; Ryan Thompson; Gabriel Cruciani; Nitzan Censor; Leonardo G Cohen
Journal:  Curr Biol       Date:  2019-03-28       Impact factor: 10.834

2.  Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced data.

Authors:  Marlene Bönstrup; Iñaki Iturrate; Martin N Hebart; Nitzan Censor; Leonardo G Cohen
Journal:  NPJ Sci Learn       Date:  2020-06-04

3.  Limited replicability of drug-induced amnesia after contextual fear memory retrieval in rats.

Authors:  Natalie Schroyens; Joaquín Matias Alfei; Anna Elisabeth Schnell; Laura Luyten; Tom Beckers
Journal:  Neurobiol Learn Mem       Date:  2019-11-06       Impact factor: 2.877

4.  Understanding the boundary conditions of memory reconsolidation.

Authors:  Matthew P Walker; Robert Stickgold
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-30       Impact factor: 11.205

5.  Reply to Walker and Stickgold: Proposed boundary conditions on memory reconsolidation will require empirical verification.

Authors:  Tom E Hardwicke; David R Shanks
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-30       Impact factor: 11.205

6.  The computational nature of memory modification.

Authors:  Samuel J Gershman; Marie-H Monfils; Kenneth A Norman; Yael Niv
Journal:  Elife       Date:  2017-03-15       Impact factor: 8.140

Review 7.  An Update on Memory Reconsolidation Updating.

Authors:  Jonathan L C Lee; Karim Nader; Daniela Schiller
Journal:  Trends Cogn Sci       Date:  2017-05-08       Impact factor: 20.229

8.  Reconsolidation of Motor Memories Is a Time-Dependent Process.

Authors:  Toon T de Beukelaar; Daniel G Woolley; Kaat Alaerts; Stephan P Swinnen; Nicole Wenderoth
Journal:  Front Hum Neurosci       Date:  2016-08-17       Impact factor: 3.169

9.  Modification of episodic memories by novel learning: a failed replication study.

Authors:  Kevin van Schie; Suzanne C van Veen; Marcel A van den Hout; Iris M Engelhard
Journal:  Eur J Psychotraumatol       Date:  2017-05-16

10.  Intrusions in episodic memory: reconsolidation or interference?

Authors:  Angela Klingmüller; Jeremy B Caplan; Tobias Sommer
Journal:  Learn Mem       Date:  2017-04-17       Impact factor: 2.460

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