Cognitive challenge to reveal presymptomatic Alzheimer's disease

Information

  • Research Project
  • 9976632
  • ApplicationId
    9976632
  • Core Project Number
    R56AG063857
  • Full Project Number
    1R56AG063857-01
  • Serial Number
    063857
  • FOA Number
    PAR-15-359
  • Sub Project Id
  • Project Start Date
    9/1/2019 - 4 years ago
  • Project End Date
    8/31/2020 - 3 years ago
  • Program Officer Name
    WISE, BRADLEY C
  • Budget Start Date
    9/1/2019 - 4 years ago
  • Budget End Date
    8/31/2020 - 3 years ago
  • Fiscal Year
    2019
  • Support Year
    01
  • Suffix
  • Award Notice Date
    8/21/2019 - 4 years ago

Cognitive challenge to reveal presymptomatic Alzheimer's disease

There is no simple test to detect early Alzheimer?s disease (AD) or predict when symptoms will start, but evidence of presymptomatic AD comes from expensive imaging or invasive cerebrospinal fluid (CSF) detection of amyloid. Our goal is to identify biomarkers that fill this gap with simple tests that detect the presymptomatic stage of AD pathology benchmarked to amyloid biomarkers. Our early studies defined presymptomatic AD based on CSF testing: elderly study participants (60-100 yr) were classified as cognitively healthy (CH) when they did not deviate from age, sex, and education norms in a multi-domain, neuropsychometric battery. CH participants were next classified based on a regression-derived Aß42/Tau ratio cutoff that diagnosed >85% of clinically probably AD: CH individuals with pathological CSF ratio were CH-PAT; those with normal CSF amyloid/tau ratios were CH-NAT. After 3-4 years, 40% of CH-PAT but none of CH-NAT declined cognitively. This confirms that CH individuals provide a strong cohort to evaluate simple biomarkers to identify presymptomatic AD (CH-PATs) from normal aging (CH-NATs). Executive function measured by Stroop interference was less good in CH-PATs, consistent with known age- related decline. We hypothesized that this apparent subtle decline in executive function in CH-PAT might be objectively unmasked with cognitive challenge, analogous to the Treadmill test to unmask incipient coronary insufficiency. We confirmed this during simple (zero-back) working memory testing, revealed by EEG biomarkers of spectral entropy and alpha event-related desynchronization. Since executive functions are consciously motivated and are heavily influenced by subliminal sensory and autonomic input, we postulate that subliminal and autonomic measures might combine to provide a more complete set of biomarkers of the early presymptomatic stage of AD. This conscious, subliminal, and autonomic (CSA) system is altered in the symptomatic stage of AD, but has not been examined in presymptomatic AD. We detect changes in CH-PATs in conscious and autonomic biomarkers, and developed a method for sensitive subliminal testing under cognitive challenge. We hypothesize that cognitive challenge in CH individuals will expose latent impairment of CSA system biomarkers in CH-PATs (presymptomatic AD), and predict biochemical and cognitive decline. Our Specific Aims will test our hypothesis in a new cohort and test the ability of CSA biomarkers to predict decline in a 3-year longitudinal study. This CSA systems approach provides multiple novel translational biomarkers to characterize presymptomatic AD (CH-PATs) based on simple executive function challenge. The biomarkers are non-invasive, yet are validated with their benchmark to established CSF biomarkers. Our research addresses an important current gap in identifying presymptomatic AD biomarkers.

IC Name
NATIONAL INSTITUTE ON AGING
  • Activity
    R56
  • Administering IC
    AG
  • Application Type
    1
  • Direct Cost Amount
    381951
  • Indirect Cost Amount
    127487
  • Total Cost
    509438
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    866
  • Ed Inst. Type
  • Funding ICs
    NIA:509438\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    HUNTINGTON MEDICAL RESEARCH INSTITUTES
  • Organization Department
  • Organization DUNS
    077978898
  • Organization City
    PASADENA
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    911052606
  • Organization District
    UNITED STATES