Literature DB >> 19813093

Implicit learning in aging: extant patterns and new directions.

Anna Rieckmann1, Lars Bäckman.   

Abstract

Research suggests that the striatum plays an important role in implicit learning (IL). The striatum exhibits marked age-related morphological and neurochemical losses. Yet, behavioral studies suggest that IL is generally well preserved in old age, and that age-related differences emerge only when highly complex IL tasks are used. In this review, we integrate behavioral and neuroimaging evidence on IL in aging. We suggest that relative stability of IL in old age may reflect neural reorganization that compensates for age-related losses in striatal functions. Specifically, there may be an age-related increase in reliance on extrastriatal regions (e.g., medial-temporal, frontal) during IL. This reorganization of function may be beneficial under less taxing performance conditions, but not when task demands become more challenging.

Mesh:

Year:  2009        PMID: 19813093     DOI: 10.1007/s11065-009-9117-y

Source DB:  PubMed          Journal:  Neuropsychol Rev        ISSN: 1040-7308            Impact factor:   7.444


  119 in total

1.  Selective interference with verbal and spatial working memory in young and older adults.

Authors:  J Myerson; S Hale; S H Rhee; L Jenkins
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  1999-05       Impact factor: 4.077

2.  First- and third-person approaches in implicit learning research.

Authors:  Vinciane Gaillard; Muriel Vandenberghe; Arnaud Destrebecqz; Axel Cleeremans
Journal:  Conscious Cogn       Date:  2006-10-05

3.  Dual task interference in implicit sequence learning by young and old adults.

Authors:  V Nejati; M T Garusi Farshi; H Ashayeri; M T Aghdasi
Journal:  Int J Geriatr Psychiatry       Date:  2008-08       Impact factor: 3.485

Review 4.  Structure and function of declarative and nondeclarative memory systems.

Authors:  L R Squire; S M Zola
Journal:  Proc Natl Acad Sci U S A       Date:  1996-11-26       Impact factor: 11.205

5.  On the development of procedural knowledge.

Authors:  D B Willingham; M J Nissen; P Bullemer
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1989-11       Impact factor: 3.051

6.  An FMRI study of the role of the medial temporal lobe in implicit and explicit sequence learning.

Authors:  Haline E Schendan; Meghan M Searl; Rebecca J Melrose; Chantal E Stern
Journal:  Neuron       Date:  2003-03-27       Impact factor: 17.173

7.  Facts and fiction about memory aging: a quantitative integration of research findings.

Authors:  P Verhaeghen; A Marcoen; L Goossens
Journal:  J Gerontol       Date:  1993-07

8.  Variation with age in the volumes of grey and white matter in the cerebral hemispheres of man: measurements with an image analyser.

Authors:  A K Miller; R L Alston; J A Corsellis
Journal:  Neuropathol Appl Neurobiol       Date:  1980 Mar-Apr       Impact factor: 8.090

9.  Implicit learning of predictive relationships in three-element visual sequences by young and old adults.

Authors:  James H Howard; Darlene V Howard; Nancy A Dennis; Andrew J Kelly
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2008-09       Impact factor: 3.051

10.  Functional magnetic resonance imaging study of regional brain activation during implicit sequence learning in obsessive-compulsive disorder.

Authors:  Scott L Rauch; Michelle M Wedig; Christopher I Wright; Brian Martis; Katherine G McMullin; Lisa M Shin; Paul A Cannistraro; Sabine Wilhelm
Journal:  Biol Psychiatry       Date:  2006-02-21       Impact factor: 13.382

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  29 in total

1.  Adult age differences in learning on a sequentially cued prediction task.

Authors:  Kendra L Seaman; Darlene V Howard; James H Howard
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2013-06-26       Impact factor: 4.077

2.  Market mechanisms protect the vulnerable brain.

Authors:  Kanchna Ramchandran; Dhananjay Nayakankuppam; Joyce Berg; Daniel Tranel; Natalie L Denburg
Journal:  Neuropsychologia       Date:  2011-05-11       Impact factor: 3.139

Review 3.  A compensatory role for declarative memory in neurodevelopmental disorders.

Authors:  Michael T Ullman; Mariel Y Pullman
Journal:  Neurosci Biobehav Rev       Date:  2015-01-15       Impact factor: 8.989

4.  Differential working memory correlates for implicit sequence performance in young and older adults.

Authors:  Jin Bo; S Jennett; R D Seidler
Journal:  Exp Brain Res       Date:  2012-07-27       Impact factor: 1.972

5.  Interactive effects of age and multi-gene profile on motor learning and sensorimotor adaptation.

Authors:  Fatemeh Noohi; Nate B Boyden; Youngbin Kwak; Jennifer Humfleet; Martijn L T M Müller; Nicolaas I Bohnen; Rachael D Seidler
Journal:  Neuropsychologia       Date:  2016-02-27       Impact factor: 3.139

6.  Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning.

Authors:  Nicolas W Schuck; Jessica R Petok; Martijn Meeter; Brit-Maren M Schjeide; Julia Schröder; Lars Bertram; Mark A Gluck; Shu-Chen Li
Journal:  Neurobiol Aging       Date:  2017-09-05       Impact factor: 4.673

7.  The effects of aging on the neural basis of implicit associative learning in a probabilistic triplets learning task.

Authors:  Jessica R Simon; Chandan J Vaidya; James H Howard; Darlene V Howard
Journal:  J Cogn Neurosci       Date:  2011-08-23       Impact factor: 3.225

8.  Dopamine transporter genotype predicts implicit sequence learning.

Authors:  Jessica R Simon; Melanie Stollstorff; Lauren C Westbay; Chandan J Vaidya; James H Howard; Darlene V Howard
Journal:  Behav Brain Res       Date:  2010-09-08       Impact factor: 3.332

9.  Does a simultaneous memory load affect older and younger adults' implicit associative learning?

Authors:  Katherine R Gamble; James H Howard; Darlene V Howard
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2013-04-15

10.  Task-related functional connectivity of the caudate mediates the association between trait mindfulness and implicit learning in older adults.

Authors:  Chelsea M Stillman; Xiaozhen You; Kendra L Seaman; Chandan J Vaidya; James H Howard; Darlene V Howard
Journal:  Cogn Affect Behav Neurosci       Date:  2016-08       Impact factor: 3.282

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