Quantifying cognitive resilience in Alzheimer’s Disease: The Alzheimer’s Disease Cognitive Resilience Score

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dc.citation.articleNumbere0241707
dc.citation.issueNumber11
dc.citation.journalTitlePLoS ONE
dc.citation.volumeNumber15
dc.contributor.authorYao, Tianyi
dc.contributor.authorSweeney, Elizabeth
dc.contributor.authorNagorski, John
dc.contributor.authorShulman, Joshua M.
dc.contributor.authorAllen, Genevera I.
dc.date.accessioned2020-12-16T19:47:23Z
dc.date.available2020-12-16T19:47:23Z
dc.date.issued2020
dc.description.abstractEven 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.
dc.identifier.citationYao, Tianyi, Sweeney, Elizabeth, Nagorski, John, et al.. "Quantifying cognitive resilience in Alzheimer’s Disease: The Alzheimer’s Disease Cognitive Resilience Score." <i>PLoS ONE,</i> 15, no. 11 (2020) Public Library of Science: https://doi.org/10.1371/journal.pone.0241707.
dc.identifier.digitaljournal-pone-0241707
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0241707
dc.identifier.urihttps://hdl.handle.net/1911/109741
dc.language.isoeng
dc.publisherPublic Library of Science
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleQuantifying cognitive resilience in Alzheimer’s Disease: The Alzheimer’s Disease Cognitive Resilience Score
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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