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Updated: Apr 1, 2026

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High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem
Published on: December 30, 2015
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A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI.
Miriam D Waehnert1, Juliane Dinse2, Andreas Schäfer1
1Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Neuroimage
|October 13, 2015
Summary
This study introduces a new MRI analysis framework for mapping brain structure in individual subjects. The method accurately maps the cerebral cortex's anatomical layers, improving in vivo brain mapping.
Area of Science:
- Neuroimaging
- Structural MRI
- Cortical Anatomy
Background:
- High-resolution structural magnetic resonance imaging (MRI) enables in vivo visualization of the cerebral cortex's laminar features.
- Studying cortical myeloarchitecture aids in mapping individual cortical areas.
Purpose of the Study:
- To present an integrated framework for analyzing intracortical structure using novel image processing tools.
- To establish a subject-specific intracortical coordinate system for detailed architectonic analyses.
Main Methods:
- Segmentation of quantitative T1 maps to delineate cortical boundaries.
- Utilizing an equivolume layering model to create an intracortical coordinate system aligned with anatomical layers.
- Evaluation using post mortem T2(∗)-weighted and in vivo T1-weighted MRI data.
Main Results:
- The proposed framework accurately delineates cortical layers and establishes a subject-specific coordinate system.
- Equivolume intracortical surfaces and transcortical profiles better represent laminar structure in curved cortical regions compared to existing methods.
- Demonstrated application in primary visual cortex (Brodmann area 17) and central sulcus regions (Brodmann areas 1, 3b, 4).
Conclusions:
- The developed framework provides a robust method for in vivo structural brain mapping at the individual level.
- This approach facilitates detailed analysis of cortical microstructure and its relationship with function.
- Represents a significant advancement for personalized neuroscience research.

