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Characterizing cognitive aging in humans with links to animal models

With the population of older adults expected to grow rapidly over the next two decades, it has become increasingly important to advance research efforts to elucidate the mechanisms associated with cognitive aging, with the ultimate goal of developing effective interventions and prevention therapies....

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Autores principales: Alexander, Gene E., Ryan, Lee, Bowers, Dawn, Foster, Thomas C., Bizon, Jennifer L., Geldmacher, David S., Glisky, Elizabeth L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439638/
https://www.ncbi.nlm.nih.gov/pubmed/22988439
http://dx.doi.org/10.3389/fnagi.2012.00021
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author Alexander, Gene E.
Ryan, Lee
Bowers, Dawn
Foster, Thomas C.
Bizon, Jennifer L.
Geldmacher, David S.
Glisky, Elizabeth L.
author_facet Alexander, Gene E.
Ryan, Lee
Bowers, Dawn
Foster, Thomas C.
Bizon, Jennifer L.
Geldmacher, David S.
Glisky, Elizabeth L.
author_sort Alexander, Gene E.
collection PubMed
description With the population of older adults expected to grow rapidly over the next two decades, it has become increasingly important to advance research efforts to elucidate the mechanisms associated with cognitive aging, with the ultimate goal of developing effective interventions and prevention therapies. Although there has been a vast research literature on the use of cognitive tests to evaluate the effects of aging and age-related neurodegenerative disease, the need for a set of standardized measures to characterize the cognitive profiles specific to healthy aging has been widely recognized. Here we present a review of selected methods and approaches that have been applied in human research studies to evaluate the effects of aging on cognition, including executive function, memory, processing speed, language, and visuospatial function. The effects of healthy aging on each of these cognitive domains are discussed with examples from cognitive/experimental and clinical/neuropsychological approaches. Further, we consider those measures that have clear conceptual and methodological links to tasks currently in use for non-human animal studies of aging, as well as those that have the potential for translation to animal aging research. Having a complementary set of measures to assess the cognitive profiles of healthy aging across species provides a unique opportunity to enhance research efforts for cross-sectional, longitudinal, and intervention studies of cognitive aging. Taking a cross-species, translational approach will help to advance cognitive aging research, leading to a greater understanding of associated neurobiological mechanisms with the potential for developing effective interventions and prevention therapies for age-related cognitive decline.
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spelling pubmed-34396382012-09-17 Characterizing cognitive aging in humans with links to animal models Alexander, Gene E. Ryan, Lee Bowers, Dawn Foster, Thomas C. Bizon, Jennifer L. Geldmacher, David S. Glisky, Elizabeth L. Front Aging Neurosci Neuroscience With the population of older adults expected to grow rapidly over the next two decades, it has become increasingly important to advance research efforts to elucidate the mechanisms associated with cognitive aging, with the ultimate goal of developing effective interventions and prevention therapies. Although there has been a vast research literature on the use of cognitive tests to evaluate the effects of aging and age-related neurodegenerative disease, the need for a set of standardized measures to characterize the cognitive profiles specific to healthy aging has been widely recognized. Here we present a review of selected methods and approaches that have been applied in human research studies to evaluate the effects of aging on cognition, including executive function, memory, processing speed, language, and visuospatial function. The effects of healthy aging on each of these cognitive domains are discussed with examples from cognitive/experimental and clinical/neuropsychological approaches. Further, we consider those measures that have clear conceptual and methodological links to tasks currently in use for non-human animal studies of aging, as well as those that have the potential for translation to animal aging research. Having a complementary set of measures to assess the cognitive profiles of healthy aging across species provides a unique opportunity to enhance research efforts for cross-sectional, longitudinal, and intervention studies of cognitive aging. Taking a cross-species, translational approach will help to advance cognitive aging research, leading to a greater understanding of associated neurobiological mechanisms with the potential for developing effective interventions and prevention therapies for age-related cognitive decline. Frontiers Media S.A. 2012-09-12 /pmc/articles/PMC3439638/ /pubmed/22988439 http://dx.doi.org/10.3389/fnagi.2012.00021 Text en Copyright © 2012 Alexander, Ryan, Bowers, Foster, Bizon, Geldmacher and Glisky. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Alexander, Gene E.
Ryan, Lee
Bowers, Dawn
Foster, Thomas C.
Bizon, Jennifer L.
Geldmacher, David S.
Glisky, Elizabeth L.
Characterizing cognitive aging in humans with links to animal models
title Characterizing cognitive aging in humans with links to animal models
title_full Characterizing cognitive aging in humans with links to animal models
title_fullStr Characterizing cognitive aging in humans with links to animal models
title_full_unstemmed Characterizing cognitive aging in humans with links to animal models
title_short Characterizing cognitive aging in humans with links to animal models
title_sort characterizing cognitive aging in humans with links to animal models
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439638/
https://www.ncbi.nlm.nih.gov/pubmed/22988439
http://dx.doi.org/10.3389/fnagi.2012.00021
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