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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

Cortical morphometry and neural dysfunction in Huntington's disease: a review.

Brendan Tan¹, Rosita Shishegar^1,2,3, Govinda R Poudel^1,4,5

¹School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.

European Journal of Neurology

|November 19, 2020

Summary

Huntington

Keywords:

Huntington's disease cortical morphometry network spread hypothesis neuroimaging neuronal dysfunction

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Published on: June 9, 2018

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Published on: March 11, 2020

Area of Science:

Neuroscience
Radiology
Genetics

Background:

Huntington's disease (HD) diagnosis relies on neuroimaging biomarkers.
Caudate volume is the earliest indicator, but cortical changes are also significant.
Mechanisms of atrophy spread from the caudate to cortical regions are unclear.

Purpose of the Study:

To review neuroimaging literature on cortical changes in HD.
To propose new strategies for investigating cortical morphometry and network degeneration.
To enhance characterization of HD pathology and identify new biomarkers.

Main Methods:

Review of T1-weighted MRI literature.
Review of diffusion-weighted MRI literature.
Proposal of novel research strategies for cortical morphometry and network analysis.

Main Results:

Cortical structural changes and network alterations occur in HD progression.
Current understanding of atrophy spread mechanisms is limited.
New imaging strategies are needed to study these changes.

Conclusions:

Further research into cortical morphometry and network degeneration is crucial for understanding HD.
Advanced neuroimaging approaches may reveal new biomarkers for patient stratification.
This research could guide future clinical trials for Huntington's disease.