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The relationship between domain-specific subjective cognitive decline and Alzheimer's pathology in normal elderly adults.

Sepideh Shokouhi | Alexander C Conley | Suzanne L Baker | Kimberly Albert | Hakmook Kang | Harry E Gwirtsman | Paul A Newhouse | Alzheimer's Disease Neuroimaging Initiative
Neurobiology of aging | 2019

We evaluated the associations of subjective (self-reported everyday cognition [ECog]) and objective cognitive measures with regional amyloid-β (Aβ) and tau accumulation in 86 clinically normal elderly subjects from the Alzheimer's Disease Neuroimaging Initiative. Regression analyses were conducted to identify whether individual ECog domains (Memory, Language, Organization, Planning, Visuospatial, and Divided Attention) were equally or differentially associated with regional [18F]florbetapir and [18F]flortaucipir uptake and how these associations compared to those obtained with objective cognitive measures. A texture analysis, the weighted 2-point correlation, was used as an additional approach for estimating the whole-brain tau burden without positron emission tomography intensity normalization. Although the strongest models for ECog domains included either tau (planning and visuospatial) or Aβ (memory and organization), the strongest models for all objective measures included Aβ. In Aβ-negative participants, the strongest models for all ECog domains of executive functioning included tau. Our results indicate differential associations of individual subjective cognitive domains with Aβ and tau in clinically normal adults. Detailed characterization of ECog may render a valuable prescreening tool for pathological prediction.

Pubmed ID: 31207466

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Associated grants

  • Agency: NIBIB NIH HHS, United States
    Id: R00 EB009106
  • Agency: NICHD NIH HHS, United States
    Id: U54 HD083211

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ADNI - Alzheimer's Disease Neuroimaging Initiative (tool)

RRID:SCR_003007

Database of the results of the ADNI study. ADNI is an initiative to develop biomarker-based methods to detect and track the progression of Alzheimer's disease (AD) that provides access to qualified scientists to their database of imaging, clinical, genomic, and biomarker data.

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