Literature DB >> 12493558

Impairment in abstraction and set shifting in aged rhesus monkeys.

Tara L Moore1, Ronald J Killiany, James G Herndon, Douglas L Rosene, Mark B Moss.   

Abstract

Understanding the nature of changes in cognition with aging has increased in importance as the number of individuals over the age of 65 years grows. To date, studies have demonstrated that age-related changes occur most extensively in the cognitive domains of memory and executive function. Whereas a large number of studies have been conducted about the effects of aging on memory, far less have explored the effects of aging on the so called "executive function" which include abilities essential for successful performance of higher level activities of daily living. As part of our ongoing effort to better characterize these changes, we assessed executive function in a non-human primate model of normal human aging using the Conceptual Set Shifting Task (CSST). This recently developed task assesses abstraction, concept formation and set shifting in the monkey in a way analogous to the Wisconsin Card Sorting Test (WCST) in humans. Relative to young adult monkeys, aged monkeys evidenced significant difficulty in both acquisition and performance on this task, and moreover, demonstrated a high degree of perseverative responding. The pattern of performance displayed by the aged monkeys suggests an age-related decline in prefrontal cortex (PFC) functioning.

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Mesh:

Year:  2003        PMID: 12493558     DOI: 10.1016/s0197-4580(02)00054-4

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


  52 in total

1.  Age changes in myelinated nerve fibers of the cingulate bundle and corpus callosum in the rhesus monkey.

Authors:  Michael P Bowley; Howard Cabral; Douglas L Rosene; Alan Peters
Journal:  J Comp Neurol       Date:  2010-08-01       Impact factor: 3.215

2.  Age-related cerebral atrophy in nonhuman primates predicts cognitive impairments.

Authors:  Jean-Luc Picq; Fabienne Aujard; Andreas Volk; Marc Dhenain
Journal:  Neurobiol Aging       Date:  2010-10-22       Impact factor: 4.673

3.  Age-related increase of sI(AHP) in prefrontal pyramidal cells of monkeys: relationship to cognition.

Authors:  J I Luebke; J M Amatrudo
Journal:  Neurobiol Aging       Date:  2010-08-19       Impact factor: 4.673

4.  Prefrontal cortical GABAergic signaling and impaired behavioral flexibility in aged F344 rats.

Authors:  B S Beas; J A McQuail; C Ban Uelos; B Setlow; J L Bizon
Journal:  Neuroscience       Date:  2016-02-09       Impact factor: 3.590

Review 5.  Nonhuman primate models of Alzheimer-like cerebral proteopathy.

Authors:  Eric Heuer; Rebecca F Rosen; Amarallys Cintron; Lary C Walker
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

6.  Age-related molecular reorganization at the node of Ranvier.

Authors:  Jason D Hinman; Alan Peters; Howard Cabral; Douglas L Rosene; William Hollander; Matthew N Rasband; Carmela R Abraham
Journal:  J Comp Neurol       Date:  2006-04-01       Impact factor: 3.215

7.  Age-related changes to layer 3 pyramidal cells in the rhesus monkey visual cortex.

Authors:  Jennifer I Luebke; Maria Medalla; Joseph M Amatrudo; Christina M Weaver; Johanna L Crimins; Brendan Hunt; Patrick R Hof; Alan Peters
Journal:  Cereb Cortex       Date:  2013-12-08       Impact factor: 5.357

Review 8.  Impact of aging brain circuits on cognition.

Authors:  Rachel D Samson; Carol A Barnes
Journal:  Eur J Neurosci       Date:  2013-06       Impact factor: 3.386

Review 9.  Age-related decline in executive function as a hallmark of cognitive ageing in primates: an overview of cognitive and neurobiological studies.

Authors:  Agnès Lacreuse; Naftali Raz; Daniel Schmidtke; William D Hopkins; James G Herndon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-09-21       Impact factor: 6.237

Review 10.  Dendritic spine changes associated with normal aging.

Authors:  D L Dickstein; C M Weaver; J I Luebke; P R Hof
Journal:  Neuroscience       Date:  2012-10-13       Impact factor: 3.590

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