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

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Human brain atlas: For high-resolution functional and anatomical mapping.

P E Roland¹, C J Graufelds, J W Hlin

¹Division of Human Brain Research, Department of Neuroscience, Karolinska Institute, Stockholm, Sweden, Germany.

Human Brain Mapping

|March 1, 2014

Summary

This summary is machine-generated.

The new computerized Human Brain Atlas (HBA) standardizes individual brain scans. This tool significantly reduces anatomical variations, aiding human brain mapping studies.

Keywords:

brain anatomy cerebral cortex human brain magnetic resonance imaging (MRI)positron emission tomography (PET)

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Area of Science:

Neuroimaging
Anatomy
Medical Informatics

Background:

Anatomical variations in individual brains pose challenges for mapping studies.
A standardized reference is crucial for accurate comparative analysis of brain structure and function.

Purpose of the Study:

To introduce a novel computerized Human Brain Atlas (HBA) for anatomical and functional mapping.
To develop a method for reducing interindividual anatomical variance in human brain imaging.

Main Methods:

Utilized high-resolution magnetic resonance images from normal subjects to build the atlas.
Implemented linear and nonlinear transformations to align individual brains to a standard anatomical format.
Evaluated variance reduction using anatomical landmarks in a separate cohort of 27 male volunteers.

Main Results:

The Human Brain Atlas (HBA) successfully reduces anatomical variations between individual brains.
Interindividual anatomical variance was reduced to the level of intra-individual hemispheric variance.
The atlas provides a continuously updated mean shape and position of brain structures.

Conclusions:

The Human Brain Atlas (HBA) is a powerful tool for standardizing brain anatomy.
This standardization significantly aids anatomical and functional mapping studies.
The HBA effectively minimizes anatomical variability, enhancing the reliability of brain research.