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      Manual Dexterity and Aging: A Pilot Study Disentangling Sensorimotor From Cognitive Decline

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          Abstract

          Manual dexterity measures can be useful for early detection of age-related functional decline and for prediction of cognitive decline. However, what aspects of sensorimotor function to assess remains unclear. Manual dexterity markers should be able to separate impairments related to cognitive decline from those related to healthy aging. In this pilot study, we aimed to compare manual dexterity components in patients diagnosed with cognitive decline (mean age: 84 years, N = 11) and in age comparable cognitively intact elderly subjects (mean age: 78 years, N = 11). In order to separate impairments due to healthy aging from deficits due to cognitive decline we also included two groups of healthy young adults (mean age: 26 years, N = 10) and middle-aged adults (mean age: 41 years, N = 8). A comprehensive quantitative evaluation of manual dexterity was performed using three tasks: (i) visuomotor force tracking, (ii) isochronous single finger tapping with auditory cues, and (iii) visuomotor multi-finger tapping. Results showed a highly significant increase in force tracking error with increasing age. Subjects with cognitive decline had increased finger tapping variability and reduced ability to select the correct tapping fingers in the multi-finger tapping task compared to cognitively intact elderly subjects. Cognitively intact elderly subjects and those with cognitive decline had prolonged force release and reduced independence of finger movements compared to young adults and middle-aged adults. The findings suggest two different patterns of impaired manual dexterity: one related to cognitive decline and another related to healthy aging. Manual dexterity tasks requiring updating of performance, in accordance with (temporal or spatial) task rules maintained in short-term memory, are particularly affected in cognitive decline. Conversely, tasks requiring online matching of motor output to sensory cues were affected by age, not by cognitive status. Remarkably, no motor impairments were detected in patients with cognitive decline using clinical scales of hand function. The findings may have consequences for the development of manual dexterity markers of cognitive decline.

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          The role of the medial frontal cortex in cognitive control.

          Adaptive goal-directed behavior involves monitoring of ongoing actions and performance outcomes, and subsequent adjustments of behavior and learning. We evaluate new findings in cognitive neuroscience concerning cortical interactions that subserve the recruitment and implementation of such cognitive control. A review of primate and human studies, along with a meta-analysis of the human functional neuroimaging literature, suggest that the detection of unfavorable outcomes, response errors, response conflict, and decision uncertainty elicits largely overlapping clusters of activation foci in an extensive part of the posterior medial frontal cortex (pMFC). A direct link is delineated between activity in this area and subsequent adjustments in performance. Emerging evidence points to functional interactions between the pMFC and the lateral prefrontal cortex (LPFC), so that monitoring-related pMFC activity serves as a signal that engages regulatory processes in the LPFC to implement performance adjustments.
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            Even those who do not experience dementia or mild cognitive impairment may experience subtle cognitive changes associated with aging. Normal cognitive changes can affect an older adult's everyday function and quality of life, and a better understanding of this process may help clinicians distinguish normal from disease states. This article describes the neurocognitive changes observed in normal aging, followed by a description of the structural and functional alterations seen in aging brains. Practical implications of normal cognitive aging are then discussed, followed by a discussion of what is known about factors that may mitigate age-associated cognitive decline.
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              Alzheimer disease in the US population: prevalence estimates using the 2000 census.

              Current and future estimates of Alzheimer disease (AD) are essential for public health planning. To provide prevalence estimates of AD for the US population from 2000 through 2050. Alzheimer disease incidence estimates from a population-based, biracial, urban study, using a stratified random sampling design, were converted to prevalence estimates and applied to US Census Bureau estimates of US population growth. A geographically defined community of 3 adjacent neighborhoods in Chicago, Ill, applied to the US population. Alzheimer disease incidence was measured in 3838 persons free of AD at baseline; 835 persons were evaluated for disease incidence. Main Outcome Measure Current and future estimates of prevalence of clinically diagnosed AD in the US population. In 2000, there were 4.5 million persons with AD in the US population. By 2050, this number will increase by almost 3-fold, to 13.2 million. Owing to the rapid growth of the oldest age groups of the US population, the number who are 85 years and older will more than quadruple to 8.0 million. The number who are 75 to 84 years old will double to 4.8 million, while the number who are 65 to 74 years old will remain fairly constant at 0.3 to 0.5 million. The number of persons with AD in the US population will continue to increase unless new discoveries facilitate prevention of the disease.
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                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                29 October 2018
                2018
                : 9
                : 910
                Affiliations
                [1] 1Inserm U894, Université Paris Descartes , Paris, France
                [2] 2Plateforme de Recherche Clinique en Gériatrie, Hôpitaux universitaires Pitié-Salpêtrière-Charles Foix, APHP , Ivry-sur-Seine, France
                [3] 3Service de Gériatrie à orientation Cardiologique et Neurologique, Sorbonne Université, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, APHP , Ivry-sur-Seine, France
                [4] 4Département de soins ambulatoires, Hôpitaux universitaires Pitié-Salpêtrière-Charles Foix, APHP , Ivry-sur-Seine, France
                [5] 5FR3636 CNRS, Université Paris Descartes , Paris, France
                [6] 6Department of Life Sciences, Université Paris Diderot , Paris, France
                Author notes

                Edited by: Antonio Oliviero, Fundación del Hospital Nacional de Parapléjicos, Spain

                Reviewed by: Rebecca Jane Rylett, University of Western Ontario, Canada; Federico Ranieri, Università Campus Bio-Medico, Italy

                *Correspondence: Påvel G. Lindberg pavel.lindberg@ 123456inserm.fr

                This article was submitted to Neurodegeneration, a section of the journal Frontiers in Neurology

                †These authors have contributed equally to this work

                Article
                10.3389/fneur.2018.00910
                6215834
                30420830
                76ad2659-4cc1-4f83-9911-ffb3f38b6e76
                Copyright © 2018 Carment, Abdellatif, Lafuente-Lafuente, Pariel, Maier, Belmin and Lindberg.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 26 July 2018
                : 09 October 2018
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 87, Pages: 11, Words: 8680
                Categories
                Neurology
                Original Research

                Neurology
                manual dexterity,sensorimotor integration,aging,cognitive decline,alzheimer disease
                Neurology
                manual dexterity, sensorimotor integration, aging, cognitive decline, alzheimer disease

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