Literature DB >> 20677885

The effects of aging in delay and trace human eyeblink conditioning.

Dominic T Cheng1, Monica L Faulkner, John F Disterhoft, John E Desmond.   

Abstract

Normal aging has been shown to impact performance during human eyeblink classical conditioning, with older adults showing lower conditioning levels than younger adults. Previous findings showed younger adults can acquire both delay and trace conditioning concurrently, but it is not known whether older adults can learn under the same conditions. Present results indicated older adults did not produce a significantly greater number of conditioned responses during acquisition, but their ability to time eyeblink responses prior to the unconditioned stimulus was preserved. The decline in eyeblink conditioning that typically accompanies aging has been extended to concurrent presentations of delay and trace conditioning trials. (c) 2010 APA, all rights reserved.

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Year:  2010        PMID: 20677885      PMCID: PMC2944000          DOI: 10.1037/a0017978

Source DB:  PubMed          Journal:  Psychol Aging        ISSN: 0882-7974


  35 in total

1.  Classical eyeblink conditioning in adulthood: effects of age and interstimulus interval on acquisition in the trace paradigm.

Authors:  R G Finkbiner; D S Woodruff-Pak
Journal:  Psychol Aging       Date:  1991-03

2.  A fiber optic-based system for behavioral eyeblink measurement in a MRI environment.

Authors:  Michael J Miller; Limin Li; Craig Weiss; John F Disterhoft; Alice M Wyrwicz
Journal:  J Neurosci Methods       Date:  2005-01-30       Impact factor: 2.390

3.  Effects of age and awareness on eyeblink conditional discrimination learning.

Authors:  Christian Bellebaum; Irene Daum
Journal:  Behav Neurosci       Date:  2004-12       Impact factor: 1.912

4.  Classical conditioning and brain systems: the role of awareness.

Authors:  R E Clark; L R Squire
Journal:  Science       Date:  1998-04-03       Impact factor: 47.728

5.  Acquisition of differential delay eyeblink classical conditioning is independent of awareness.

Authors:  Christine N Smith; Robert E Clark; Joseph R Manns; Larry R Squire
Journal:  Behav Neurosci       Date:  2005-02       Impact factor: 1.912

6.  Temporal discrimination learning in severe amnesic patients reveals an alteration in the timing of eyeblink conditioned responses.

Authors:  R McGlinchey-Berroth; C Brawn; J F Disterhoft
Journal:  Behav Neurosci       Date:  1999-02       Impact factor: 1.912

7.  Timing of conditioned eyeblink responses is impaired in cerebellar patients.

Authors:  Marcus Gerwig; Karim Hajjar; Albena Dimitrova; Matthias Maschke; Florian P Kolb; Markus Frings; Alfred F Thilmann; Michael Forsting; Hans Christoph Diener; Dagmar Timmann
Journal:  J Neurosci       Date:  2005-04-13       Impact factor: 6.167

8.  Hippocampal atrophy in normal aging. An association with recent memory impairment.

Authors:  J Golomb; M J de Leon; A Kluger; A E George; C Tarshish; S H Ferris
Journal:  Arch Neurol       Date:  1993-09

9.  Hippocampal formation size predicts declining memory performance in normal aging.

Authors:  J Golomb; A Kluger; M J de Leon; S H Ferris; M Mittelman; J Cohen; A E George
Journal:  Neurology       Date:  1996-09       Impact factor: 9.910

10.  Loss of synapses in the cerebellar cortex of the senescent rat.

Authors:  R Glick; W Bondareff
Journal:  J Gerontol       Date:  1979-11
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  12 in total

Review 1.  The impact of hippocampal lesions on trace-eyeblink conditioning and forebrain-cerebellar interactions.

Authors:  Craig Weiss; John F Disterhoft
Journal:  Behav Neurosci       Date:  2015-08       Impact factor: 1.912

Review 2.  Insights into CNS ageing from animal models of senescence.

Authors:  Mark Yeoman; Greg Scutt; Richard Faragher
Journal:  Nat Rev Neurosci       Date:  2012-05-10       Impact factor: 34.870

3.  Video-based data acquisition system for use in eye blink classical conditioning procedures in sheep.

Authors:  Kelsey Nation; Adam Birge; Emily Lunde; Timothy Cudd; Charles Goodlett; Shannon Washburn
Journal:  Behav Res Methods       Date:  2017-10

4.  Age-related impairments on one hippocampal-dependent task predict impairments on a subsequent hippocampal-dependent task.

Authors:  Daniel M Curlik; Craig Weiss; Daniel A Nicholson; John F Disterhoft
Journal:  Behav Neurosci       Date:  2014-12       Impact factor: 1.912

5.  Functional MRI of cerebellar activity during eyeblink classical conditioning in children and adults.

Authors:  Dominic T Cheng; Ernesta M Meintjes; Mark E Stanton; John E Desmond; Mariska Pienaar; Neil C Dodge; John M Power; Christopher D Molteno; John F Disterhoft; Joseph L Jacobson; Sandra W Jacobson
Journal:  Hum Brain Mapp       Date:  2013-05-14       Impact factor: 5.038

6.  Neural Substrates Underlying Eyeblink Classical Conditioning in Adults With Alcohol Use Disorders.

Authors:  Dominic T Cheng; Laura C Rice; Mary E McCaul; Jessica J Rilee; Monica L Faulkner; Yi-Shin Sheu; Joanna R Mathena; John E Desmond
Journal:  Alcohol Clin Exp Res       Date:  2020-02-16       Impact factor: 3.928

7.  Cerebellar-dependent associative learning is preserved in Duchenne muscular dystrophy: a study using delay eyeblink conditioning.

Authors:  Ulrike Schara; Melanie Busse; Dagmar Timmann; Marcus Gerwig
Journal:  PLoS One       Date:  2015-05-14       Impact factor: 3.240

8.  Characterizing cognitive aging of associative memory in animal models.

Authors:  James R Engle; Carol A Barnes
Journal:  Front Aging Neurosci       Date:  2012-09-12       Impact factor: 5.750

Review 9.  Eyeblink Conditioning and Novel Object Recognition in the Rabbit: Behavioral Paradigms for Assaying Psychiatric Diseases.

Authors:  Craig Weiss; John F Disterhoft
Journal:  Front Psychiatry       Date:  2015-10-07       Impact factor: 4.157

10.  Effects of OEF/OIF-related physical and emotional co-morbidities on associative learning: concurrent delay and trace eyeblink classical conditioning.

Authors:  Regina E McGlinchey; Catherine B Fortier; Jonathan R Venne; Arkadiy L Maksimovskiy; William P Milberg
Journal:  Int J Environ Res Public Health       Date:  2014-03-12       Impact factor: 3.390

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