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Updated: Jan 8, 2026

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Alzheimer's Imaging Consortium.

Melissa M Rundle1, Da Ma2, Kathryn H Alphin2

  • 1Wake Forest School of Medicine, Winston-Salem, NC, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 23, 2025
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Summary
This summary is machine-generated.

Increased tau-PET deposition correlates with cognitive decline in Alzheimer's disease. While tau-PET lateralization was observed, it did not show a significant association with cognitive status or performance in this study.

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Area of Science:

  • Neuroimaging
  • Neurology
  • Biomarkers

Background:

  • Prior research indicates tau-PET deposition patterns strongly correlate with cognitive deficits.
  • Tau-PET lateralization is linked to specific impairments, language (left) versus behavioral (right).

Purpose of the Study:

  • To investigate the association between tau-PET deposition and laterality with cognitive status and performance.
  • To explore how tau-PET patterns relate to cognitive decline in individuals with varying cognitive statuses.

Main Methods:

  • Utilized tau-PET data from 250 participants (cognitively normal, MCI, dementia) from the Wake Forest ADRC.
  • Assessed cognition using a battery of tests including UDSv3, MMSE, CDR, PACC5, NBI-MPIQ, and MINT.
  • Quantified tau-PET globally, regionally, and by BRAAK stage, generating laterality indices for association analyses with cognitive data.

Main Results:

  • Tau-PET deposition significantly differed across cognitive statuses (CU < MCI < DEM) and was linked to poorer cognition (p<.05).
  • Associations were robust across different tau-PET thresholds and regions of interest.
  • Tau-PET lateralization was present in ~23% of participants but did not differ by cognitive status or associate with cognitive performance.

Conclusions:

  • Increased tau-PET deposition is associated with poorer cognition and reflects differing cognitive statuses.
  • The limited number of participants with detectable tau-PET laterality precluded finding associations with cognition.
  • Future research will explore voxel-level tau-PET patterns and machine learning for improved AD staging and characterization.