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Related Experiment Video

Updated: Sep 6, 2025

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

Automated High-Definition MRI Processing Routine Robustly Detects Longitudinal Morphometry Changes in Alzheimer's

Simon Rechberger¹, Yong Li², Sebastian J Kopetzky^2,3

¹Viscovery Software GmbH, Vienna, Austria.

Frontiers in Aging Neuroscience

|June 24, 2022

Summary

This study introduces an automated MRI analysis pipeline for neurodegenerative diseases. The advanced method improves detection of subtle brain changes, even in small patient groups, aiding clinical trials.

Keywords:

HCP MMP 1.0 SBM VBM clinical trials dementia longitudinal surface based morphometry longitudinal voxel based morphometry neurodegeneration

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Last Updated: Sep 6, 2025

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Published on: April 18, 2025

Area of Science:

Neuroimaging
Neurodegenerative Diseases
Biostatistics

Background:

Longitudinal MRI studies are crucial for tracking neurodegenerative diseases and drug efficacy.
Manual assessments are time-consuming and often yield suboptimal results.

Purpose of the Study:

To develop and validate a precise, automated analysis pipeline for longitudinal MRI studies.
To enhance the detection of subtle neurodegenerative changes in small cohorts.

Main Methods:

Automated image processing including surface and voxel-based morphometry with detailed brain atlases (HCP MMP 1.0).
Statistical analysis using a multiplicative model of annual percent change (APC).
Multiple testing correction adapted from genome-wide association studies.

Main Results:

The pipeline identified 22 significant morphometric changes (cortical volume, area, thickness) using surface-based morphometry (SBM) in a small Alzheimer's cohort.
Compared to VBM, SBM detected more significant changes, highlighting its sensitivity.
A 1-year decrease in brain morphometry correlated with increased clinical disability and cognitive decline.

Conclusions:

Automated MRI analysis with precise morphometry and statistical correction yields significant outcomes even in small study cohorts.
The proposed pipeline is reliable and suitable for routine use in clinical trials for neurodegenerative diseases.