Advancing Multiscale Structural Mapping for Alzheimer's Disease using Local Gyrification Index

TL;DR

This study enhances Alzheimer's neurodegeneration detection by integrating local gyrification index with existing imaging markers, improving sensitivity and supporting clinical diagnosis using standard MRI.

Contribution

It introduces an extended MSSM framework incorporating neurostructural measures like LGI, demonstrating improved detection of Alzheimer's-related neurodegeneration.

Findings

Enhanced detection sensitivity with added LGI.

Extended MSSM outperforms previous methods.

Supports clinical diagnostics with standard MRI.

Abstract

Research question: This study aims to find whether other neurostructural measurements could be added and combined with the state-of-the-art Alzheimer's imaging marker called MSSM to improve sensitivity to neurodegeneration in Alzheimer's disease patients. Findings: By applying various neurostructural measurements such as the local gyrification index and Jacobian white to the existing Multiscale Structural Mapping of Alzheimer's Disease Neurodegeneration, better results were obtained compared to previous methods, with the addition of LGI proving to be the most effective. Meaning: The extended MSSM imaging marker may provide better ability for the detection of degeneration in Alzheimer's disease. This research shows that this method, using a single standard T1- weighted MRI, can support clinical diagnostics and help identify individuals who may need further biomarker evaluation.