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Updated: Jul 30, 2026

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Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
Published on: April 14, 2014
Characterizing Anatomical Variability And Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe
Long Xie1, Laura E M Wisse1, Sandhitsu R Das1,2
1Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, USA.
Summary
Alzheimer's disease (AD) affects the perirhinal cortex (PRC) differently based on its anatomical variants. This study reveals variant-specific patterns of brain thinning, aiding early AD detection.
Area of Science:
- Neuroscience
- Radiology
- Pathology
Background:
- The perirhinal cortex (PRC) shows early neurofibrillary tangle (NFT) pathology in Alzheimer's disease (AD).
- Existing MRI studies report subtle morphological changes in the PRC in early AD, crucial for clinical trials.
- The PRC has significant anatomical variability with multiple discrete variants, complicating morphometric analyses.
Purpose of the Study:
- To investigate if distinct anatomical variants of the PRC are associated with different patterns of AD-related effects.
- To develop and apply novel statistical shape modeling techniques capable of analyzing variant-specific AD impacts.
Main Methods:
- Utilized graph-based groupwise registration and diffeomorphic landmark matching with geodesic shooting.
- Constructed statistical shape models for discrete PRC variants.
- Analyzed a large dataset across the AD spectrum to examine variant-specific shape and thickness changes.
Main Results:
- Statistical models successfully recovered known PRC folding patterns and population variability.
- Identified cortical thinning patterns consistent with NFT progression in the PRC.
- Observed distinct initial spatial distributions of cortical thinning among different PRC anatomical variants.
- Detected significant effects of AD on medial temporal lobe shape.
Conclusions:
- The developed pipeline effectively models PRC anatomical variants and their specific responses to AD.
- Findings highlight the importance of considering PRC anatomical variability in AD research.
- The methodology shows promise for early AD detection and monitoring through precise morphometric analysis.

