Quantifying cognitive resilience in Alzheimer's Disease: The Alzheimer's Disease Cognitive Resilience Score
Even though there is a clear link between Alzheimer's Disease (AD) related neuropathology and cognitive decline, numerous studies have observed that healthy cognition can exist in the presence of extensive AD pathology, a phenomenon sometimes called Cognitive Resilience (CR). To better understa...
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description | Even though there is a clear link between Alzheimer's Disease (AD) related neuropathology and cognitive decline, numerous studies have observed that healthy cognition can exist in the presence of extensive AD pathology, a phenomenon sometimes called Cognitive Resilience (CR). To better understand and study CR, we develop the Alzheimer's Disease Cognitive Resilience Score (AD-CR Score), which we define as the difference between the observed and expected cognition given the observed level of AD pathology. Unlike other definitions of CR, our AD-CR Score is a fully non-parametric, stand-alone, individual-level quantification of CR that is derived independently of other factors or proxy variables. Using data from two ongoing, longitudinal cohort studies of aging, the Religious Orders Study (ROS) and the Rush Memory and Aging Project (MAP), we validate our AD-CR Score by showing strong associations with known factors related to CR such as baseline and longitudinal cognition, non AD-related pathology, education, personality, APOE, parkinsonism, depression, and life activities. Even though the proposed AD-CR Score cannot be directly calculated during an individual's lifetime because it uses postmortem pathology, we also develop a machine learning framework that achieves promising results in terms of predicting whether an individual will have an extremely high or low AD-CR Score using only measures available during the lifetime. Given this, our AD-CR Score can be used for further investigations into mechanisms of CR, and potentially for subject stratification prior to clinical trials of personalized therapies. |
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To better understand and study CR, we develop the Alzheimer's Disease Cognitive Resilience Score (AD-CR Score), which we define as the difference between the observed and expected cognition given the observed level of AD pathology. Unlike other definitions of CR, our AD-CR Score is a fully non-parametric, stand-alone, individual-level quantification of CR that is derived independently of other factors or proxy variables. Using data from two ongoing, longitudinal cohort studies of aging, the Religious Orders Study (ROS) and the Rush Memory and Aging Project (MAP), we validate our AD-CR Score by showing strong associations with known factors related to CR such as baseline and longitudinal cognition, non AD-related pathology, education, personality, APOE, parkinsonism, depression, and life activities. Even though the proposed AD-CR Score cannot be directly calculated during an individual's lifetime because it uses postmortem pathology, we also develop a machine learning framework that achieves promising results in terms of predicting whether an individual will have an extremely high or low AD-CR Score using only measures available during the lifetime. Given this, our AD-CR Score can be used for further investigations into mechanisms of CR, and potentially for subject stratification prior to clinical trials of personalized therapies.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0241707</identifier><identifier>PMID: 33152028</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aging ; Alzheimer Disease - diagnosis ; Alzheimer Disease - physiopathology ; Alzheimer's disease ; Apolipoprotein E ; Autopsy ; Basal ganglia ; Biology and Life Sciences ; Brain research ; Central nervous system diseases ; Clinical trials ; Cognition ; Cognition & reasoning ; Cognitive ability ; Cognitive Dysfunction - diagnosis ; Cognitive Dysfunction - physiopathology ; Cognitive tests ; Cohort Studies ; Computer and Information Sciences ; Dementia ; Education ; Evaluation ; Exercise ; Health aspects ; Humans ; Learning algorithms ; Longitudinal Studies ; Machine learning ; Magnetic resonance imaging ; Mathematical analysis ; Medicine ; Medicine and Health Sciences ; Memory ; Methods ; Movement disorders ; Neurodegenerative diseases ; Neuropathology ; Pathology ; Public health ; Resilience ; Sweeney, John ; Variables</subject><ispartof>PloS one, 2020-11, Vol.15 (11), p.e0241707-e0241707</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Yao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Elizabeth</au><au>Nagorski, John</au><au>Shulman, Joshua M</au><au>Allen, Genevera I</au><au>Ginsberg, Stephen D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying cognitive resilience in Alzheimer's Disease: The Alzheimer's Disease Cognitive Resilience Score</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-11-05</date><risdate>2020</risdate><volume>15</volume><issue>11</issue><spage>e0241707</spage><epage>e0241707</epage><pages>e0241707-e0241707</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Even though there is a clear link between Alzheimer's Disease (AD) related neuropathology and cognitive decline, numerous studies have observed that healthy cognition can exist in the presence of extensive AD pathology, a phenomenon sometimes called Cognitive Resilience (CR). To better understand and study CR, we develop the Alzheimer's Disease Cognitive Resilience Score (AD-CR Score), which we define as the difference between the observed and expected cognition given the observed level of AD pathology. Unlike other definitions of CR, our AD-CR Score is a fully non-parametric, stand-alone, individual-level quantification of CR that is derived independently of other factors or proxy variables. Using data from two ongoing, longitudinal cohort studies of aging, the Religious Orders Study (ROS) and the Rush Memory and Aging Project (MAP), we validate our AD-CR Score by showing strong associations with known factors related to CR such as baseline and longitudinal cognition, non AD-related pathology, education, personality, APOE, parkinsonism, depression, and life activities. Even though the proposed AD-CR Score cannot be directly calculated during an individual's lifetime because it uses postmortem pathology, we also develop a machine learning framework that achieves promising results in terms of predicting whether an individual will have an extremely high or low AD-CR Score using only measures available during the lifetime. Given this, our AD-CR Score can be used for further investigations into mechanisms of CR, and potentially for subject stratification prior to clinical trials of personalized therapies.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33152028</pmid><doi>10.1371/journal.pone.0241707</doi><tpages>e0241707</tpages><orcidid>https://orcid.org/0000-0001-8380-2866</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aging Alzheimer Disease - diagnosis Alzheimer Disease - physiopathology Alzheimer's disease Apolipoprotein E Autopsy Basal ganglia Biology and Life Sciences Brain research Central nervous system diseases Clinical trials Cognition Cognition & reasoning Cognitive ability Cognitive Dysfunction - diagnosis Cognitive Dysfunction - physiopathology Cognitive tests Cohort Studies Computer and Information Sciences Dementia Education Evaluation Exercise Health aspects Humans Learning algorithms Longitudinal Studies Machine learning Magnetic resonance imaging Mathematical analysis Medicine Medicine and Health Sciences Memory Methods Movement disorders Neurodegenerative diseases Neuropathology Pathology Public health Resilience Sweeney, John Variables |
title | Quantifying cognitive resilience in Alzheimer's Disease: The Alzheimer's Disease Cognitive Resilience Score |
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