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A Review on the Trajectory of Attentional Mechanisms in Aging and the Alzheimer’s Disease Continuum through the Attention Network Test

Ian M. McDonough,Meagan M. Wood,William Miller Jr.

Published 2019 in The Yale Journal of Biology and Medicine

ABSTRACT

Multiple domains of cognition are known to decline in both normal aging and in the trajectory towards Alzheimer’s disease (AD). While declines in episodic memory are most well-known in both normal aging and AD, some of these memory differences might stem from early deteriorations in attention that have consequences for later memory. Further complicating the matter is that attention is a multifaceted construct that might be differentially affected in normal aging and AD. According to cognitive neuroscience models of attention, three types of attention networks exist: alerting, orienting, and executive. Efficiency of these three networks can be captured using the Attention Network Test (ANT). We reviewed the literature investigating differences in attention networks using the ANT as a function of normal aging and the AD trajectory, which included people at risk for AD, preclinical stages of AD, mild cognitive impairment, and those diagnosed with AD. We found that normal aging and the AD trajectory evidenced different patterns of attentional declines. Whereas normal aging was most consistently associated with impairments in alerting, early phases of the AD trajectory were most consistently associated with impairments in executive attention, and later phases of the AD trajectory were mixed. The mixed results with AD are largely attributed to small sample sizes and confounding effects of general slowing. These findings highlight key gaps in the literature linking different phases of AD while also highlighting the usefulness of the ANT to distinguish normal aging from the AD trajectory, especially in the earliest phases of the disease process.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    The Yale Journal of Biology and Medicine

  • Publication date

    2019-03-01

  • Fields of study

    Medicine, Psychology

  • Identifiers
    PMID 30923472PMCID 6430165
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar, PubMed

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