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      Characterizing cognitive aging in humans with links to animal models

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          Abstract

          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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          Most cited references132

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          Episodic memory: from mind to brain.

          Episodic memory is a neurocognitive (brain/mind) system, uniquely different from other memory systems, that enables human beings to remember past experiences. The notion of episodic memory was first proposed some 30 years ago. At that time it was defined in terms of materials and tasks. It was subsequently refined and elaborated in terms of ideas such as self, subjective time, and autonoetic consciousness. This chapter provides a brief history of the concept of episodic memory, describes how it has changed (indeed greatly changed) since its inception, considers criticisms of it, and then discusses supporting evidence provided by (a) neuropsychological studies of patterns of memory impairment caused by brain damage, and (b) functional neuroimaging studies of patterns of brain activity of normal subjects engaged in various memory tasks. I also suggest that episodic memory is a true, even if as yet generally unappreciated, marvel of nature.
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            Hemispheric asymmetry reduction in older adults: the HAROLD model.

            A model of the effects of aging on brain activity during cognitive performance is introduced. The model is called HAROLD (hemispheric asymmetry reduction in older adults), and it states that, under similar circumstances, prefrontal activity during cognitive performances tends to be less lateralized in older adults than in younger adults. The model is supported by functional neuroimaging and other evidence in the domains of episodic memory, semantic memory, working memory, perception, and inhibitory control. Age-related hemispheric asymmetry reductions may have a compensatory function or they may reflect a dedifferentiation process. They may have a cognitive or neural origin, and they may reflect regional or network mechanisms. The HAROLD model is a cognitive neuroscience model that integrates ideas and findings from psychology and neuroscience of aging.
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              Working memory, short-term memory, and general fluid intelligence: a latent-variable approach.

              A study was conducted in which 133 participants performed 11 memory tasks (some thought to reflect working memory and some thought to reflect short-term memory), 2 tests of general fluid intelligence, and the Verbal and Quantitative Scholastic Aptitude Tests. Structural equation modeling suggested that short-term and working memories reflect separate but highly related constructs and that many of the tasks used in the literature as working memory tasks reflect a common construct. Working memory shows a strong connection to fluid intelligence, but short-term memory does not. A theory of working memory capacity and general fluid intelligence is proposed: The authors argue that working memory capacity and fluid intelligence reflect the ability to keep a representation active, particularly in the face of interference and distraction. The authors also discuss the relationship of this capability to controlled attention, and the functions of the prefrontal cortex.
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                Author and article information

                Journal
                Front Aging Neurosci
                Front Aging Neurosci
                Front. Ag. Neurosci.
                Frontiers in Aging Neuroscience
                Frontiers Media S.A.
                1663-4365
                12 September 2012
                2012
                : 4
                : 21
                Affiliations
                [1] 1simpleDepartment of Psychology, Evelyn F. McKnight Brain Institute, University of Arizona Tucson, AZ, USA
                [2] 2simpleDepartment of Clinical and Health Psychology, University of Florida Gainesville, FL, USA
                [3] 3simpleDepartment of Neurology, University of Florida Gainesville, FL, USA
                [4] 4simpleMcKnight Brain Institute, University of Florida Gainesville, FL, USA
                [5] 5simpleDepartment of Neuroscience, University of Florida Gainesville, FL, USA
                [6] 6simpleDepartments of Neurology and Neurobiology, Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham Birmingham, AL, USA
                Author notes

                Edited by: Gemma Casadesus, Case Western Reserve University, USA

                Reviewed by: Daniel Ortuño-Sahagun, Centro Universitario de Ciencias Biológicas y Agropecuarias, Mexico; Ashok K. Shetty, Texas A&M Health Science Center, USA

                *Correspondence: Gene E. Alexander, Department of Psychology, University of Arizona, Tucson, AZ 85721, USA. e-mail: gene.alexander@ 123456arizona.edu
                Article
                10.3389/fnagi.2012.00021
                3439638
                22988439
                670f5a81-be77-4253-bac2-dab6026ae166
                Copyright © 2012 Alexander, Ryan, Bowers, Foster, Bizon, Geldmacher and Glisky.

                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.

                History
                : 19 March 2012
                : 15 July 2012
                Page count
                Figures: 1, Tables: 3, Equations: 0, References: 204, Pages: 18, Words: 18532
                Categories
                Neuroscience
                Review Article

                Neurosciences
                executive function,memory,aging,cognition,processing speed,visuospatial function,language
                Neurosciences
                executive function, memory, aging, cognition, processing speed, visuospatial function, language

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