Single time point high-dimensional morphometry in Alzheimer's disease: group statistics on longitudinally acquired...

Area of Science:

• Neuroimaging
• Neurology
• Biomarkers

Background:

• Medial temporal lobe atrophy (MTLA) is a key indicator for Alzheimer's disease (AD) diagnosis and prognosis in mild cognitive impairment (MCI).
• Accurate tracking of atrophy is crucial for understanding disease progression.

Purpose of the Study:

• To present the initial findings of a novel high-dimensional morphometry technique for quantifying MTLA.
• To assess the technique's ability to track tissue composition and atrophy changes over time using MRI.

Main Methods:

• Utilized T1-weighted magnetic resonance imaging (MRI) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study.
• Applied a high-dimensional morphometry technique to track tissue composition and atrophy in 187 controls, 17 controls progressing to MCI/AD, 178 stable MCI, 165 MCI progressing to AD, and 147 AD subjects.
• Analyzed data at 0-12, 12-24, and 24-36 month intervals.

Main Results:

• Demonstrated statistically significant differences in atrophy between diagnostic groups and across time points.
• Observed significant differences even in control subjects who progressed to MCI or AD.
• Showcased trajectory dynamics indicating the algorithm's capability in tracking pathology-related neurodegeneration.

Conclusions:

• The high-dimensional morphometry technique effectively quantifies and tracks medial temporal lobe atrophy.
• This method shows promise as a sensitive biomarker for diagnosing and predicting AD progression in MCI patients.
• The findings support the use of advanced MRI analysis for understanding neurodegenerative disease trajectories.