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Cerebellum: Anatomical Regions

Cerebellum: Anatomical Regions

The cerebellum, also known as the "little brain," is located in the posterior cranial fossa, inferior to the tentorium cerebelli and dorsal to the brainstem. It plays a significant role in motor control, coordination, and proprioception.
Cerebellar Structure
Externally, the cerebellum features a highly convoluted surface with numerous folia (narrow ridges) separated by shallow sulci (grooves). The cerebellum is divided into two hemispheres by a thin median structure known as the vermis. The...

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A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

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Landmark Based Shape Analysis for Cerebellar Ataxia Classification and Cerebellar Atrophy Pattern Visualization.

Zhen Yang¹, S Mazdak Abulnaga², Aaron Carass¹

¹Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

Proceedings of Spie--The International Society for Optical Engineering

|June 16, 2016

Summary

This study introduces a novel shape analysis method to identify cerebellar atrophy patterns in ataxia. The technique accurately classifies ataxia types and visualizes characteristic changes, aiding diagnosis and understanding of cerebellar diseases.

Keywords:

Cerebellar ataxia atrophy pattern landmarks linear discriminant analysis magnetic resonance images partial least squares shape analysis visualization

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Last Updated: Mar 19, 2026

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Cerebellar Regional Dissection for Molecular Analysis

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Published on: December 5, 2020

Area of Science:

Neuroscience
Medical Imaging
Biomedical Engineering

Background:

Cerebellar dysfunction causes diverse movement disorders.
Understanding cerebellar atrophy patterns is crucial for diagnosing and managing cerebellar diseases like ataxia.
Current methods may lack detailed insights into shape and size alterations.

Purpose of the Study:

To develop and validate a landmark-based shape analysis pipeline for classifying ataxia types.
To visualize characteristic cerebellar atrophy patterns associated with different ataxia subtypes.
To provide a more intuitive and detailed understanding of cerebellar structural changes.

Main Methods:

Extracting dense homologous landmarks on cerebellar sub-structure boundaries for feature representation.
Utilizing partial least square dimension reduction and regularized linear discriminant analysis for classification.
Visualizing atrophy patterns by sampling along discriminant directions between healthy controls and ataxia groups.

Main Results:

The proposed method successfully classified healthy controls and various ataxia types.
Visualized atrophy patterns correlated with known regional volume decreases from prior studies.
The technique offered detailed insights into overall cerebellar and lobular shape/size changes.

Conclusions:

The landmark-based shape analysis pipeline is effective for classifying ataxia and understanding cerebellar atrophy.
This approach enhances diagnostic capabilities and provides deeper insights into cerebellar neurodegenerative changes.
The method offers a valuable tool for research and clinical applications in cerebellar disorders.