Postmortem imaging reveals patterns of medial temporal lobe vulnerability to tau pathology in Alzheimer's disease

Sadhana Ravikumar1, Amanda E Denning2, Sydney Lim2

  • 1Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA. sadhana.ravikumar@gmail.com.

PubMed

Insights

This study provides a 3D map of tau neurofibrillary tangles (NFTs) in the medial temporal lobe (MTL) during early Alzheimer's Disease (AD). Findings reveal specific MTL regions with high NFT burden, potentially improving early AD biomarker detection.

Area of Science:

  • Neuroscience
  • Neuropathology
  • Medical Imaging

Background:

  • Understanding tau neurofibrillary tangle (NFT) spread in early Alzheimer's Disease (AD) is challenging due to confounding pathologies and 2D histology.
  • The medial temporal lobe (MTL) is critical in early AD, but detailed 3D mapping of NFTs is lacking.

Purpose of the Study:

  • To create a detailed 3D characterization of quantitative NFT burden in human MTL specimens.
  • To develop a high-resolution ex vivo atlas with cytoarchitecturally-defined subregions for NFT analysis.
  • To inform future in vivo neuroimaging studies for early AD detection.

Main Methods:

  • Combined ex vivo MRI and serial histological imaging from 25 human MTL specimens.
  • Developed a 3D atlas with precise subregion labels for quantitative NFT burden mapping.
  • Analyzed spatial distribution and gradient of NFTs within MTL subregions.

Main Results:

  • Demonstrated a clear anterior-to-posterior gradient in NFT distribution within the MTL.
  • Identified specific spatial patterns of high NFT burden in the transentorhinal region and the cornu ammonis (CA1) subfield.
  • Located granular MTL regions where neurodegeneration is specifically linked to NFTs, suggesting potential early AD biomarkers.

Conclusions:

  • The 3D characterization provides a novel understanding of tau pathology spread in the early stages of AD.
  • The identified MTL regions with high NFT burden and specific neurodegeneration links can guide the development of more sensitive early AD biomarkers.
  • This approach enhances the potential for improved in vivo neuroimaging analysis in Alzheimer's Disease research.