Literature DB >> 8832637

Trace eyeblink conditioning in rabbits demonstrates heterogeneity of learning ability both between and within age groups.

L T Thompson1, J R Moyer, J F Disterhoft.   

Abstract

Rabbits 2 to 41 months of age were conditioned in the 500 ms trace eyeblink paradigm to cross-sectionally define the age of onset and the severity of age-associated impairments in acquisition of this relatively difficult hippocampally dependent task. Using a strict behavioral criterion of 80% conditioned responses (CRs), age-associated learning impairments were significant by 24 months of age. Among rabbits that successfully reached this criterion, impairments in acquisition plateaued at 30 months of age. However, the proportion of severely impaired rabbits (that failed to reach the 80% criterion) continued to increase age dependently. Using an easier criterion of 8 out of 10 CRs, behavioral impairments were not detected until 30 months of age, and cases of severe impairment (failure to reach criterion) were rare. Additional controls demonstrated that the deficits observed were not attributable to nonassociative changes that might have artifactually skewed the data. Even severely impaired 36-month-old rabbits were able to reach a criterion of 80% CRs when switched from a trace to a delay conditioning task that is not hippocampally dependent. The results are discussed in terms of operationally defining and predicting behavioral effects of aging, hypothetical neural mechanisms, and efficient experimental design.

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Year:  1996        PMID: 8832637     DOI: 10.1016/0197-4580(96)00026-7

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  38 in total

1.  The M1 muscarinic agonist CI-1017 facilitates trace eyeblink conditioning in aging rabbits and increases the excitability of CA1 pyramidal neurons.

Authors:  C Weiss; A R Preston; M M Oh; R D Schwarz; D Welty; J F Disterhoft
Journal:  J Neurosci       Date:  2000-01-15       Impact factor: 6.167

Review 2.  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

3.  Nonpharmacological amelioration of age-related learning deficits: the impact of hippocampal theta-triggered training.

Authors:  Yukiko Asaka; Kristin N Mauldin; Amy L Griffin; Matthew A Seager; Elizabeth Shurell; Stephen D Berry
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-06       Impact factor: 11.205

4.  Cholinergic septo-hippocampal innervation is required for trace eyeblink classical conditioning.

Authors:  Angela Fontán-Lozano; Julieta Troncoso; Alejandro Múnera; Angel Manuel Carrión; José María Delgado-García
Journal:  Learn Mem       Date:  2005-11-14       Impact factor: 2.460

5.  The role of awareness in delay and trace fear conditioning in humans.

Authors:  David C Knight; Hanh T Nguyen; Peter A Bandettini
Journal:  Cogn Affect Behav Neurosci       Date:  2006-06       Impact factor: 3.282

6.  Effects of paradigm and inter-stimulus interval on age differences in eyeblink classical conditioning in rabbits.

Authors:  Diana S Woodruff-Pak; Susan E Seta; LaToya A Roker; Melissa A Lehr
Journal:  Learn Mem       Date:  2007-04-06       Impact factor: 2.460

Review 7.  Learning to learn - intrinsic plasticity as a metaplasticity mechanism for memory formation.

Authors:  Megha Sehgal; Chenghui Song; Vanessa L Ehlers; James R Moyer
Journal:  Neurobiol Learn Mem       Date:  2013-07-18       Impact factor: 2.877

8.  Young and older good learners have higher levels of brain nicotinic receptor binding.

Authors:  Diana S Woodruff-Pak; Melissa A Lehr; Jian-Guo Li; Lee-Yuan Liu-Chen
Journal:  Neurobiol Aging       Date:  2008-10-23       Impact factor: 4.673

9.  Age-related enhancement of the slow outward calcium-activated potassium current in hippocampal CA1 pyramidal neurons in vitro.

Authors:  John M Power; Wendy W Wu; Evgeny Sametsky; M Mathew Oh; John F Disterhoft
Journal:  J Neurosci       Date:  2002-08-15       Impact factor: 6.167

10.  Cellular mechanisms for altered learning in aging.

Authors:  M Matthew Oh; John F Disterhoft
Journal:  Future Neurol       Date:  2010-01-01
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