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Generation of Neural Stem Cells from Discarded Human Fetal Cortical Tissue

Generation of Neural Stem Cells from Discarded Human Fetal Cortical Tissue

Published on: May 25, 2011

Fetal cortical surface atlas parcellation based on growth patterns.

Jing Xia^1,2, Fan Wang², Oualid M Benkarim³

¹Department of Computer Science and Technology, Shandong University, Shandong, China.

Human Brain Mapping

|May 21, 2019

Summary

We developed a new method to map fetal brain development using cortical growth patterns. This approach creates detailed atlases crucial for understanding early brain structure and function.

Keywords:

fetal cortical atlas growth pattern parcellation

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Area of Science:

Neuroimaging
Developmental Neuroscience
Computational Biology

Background:

Cortical parcellation maps are vital for neuroimaging but adult-based methods fail for fetal brains due to developmental differences.
Existing methods lack suitability for dynamic fetal brain development, necessitating new approaches.

Purpose of the Study:

To propose a novel data-driven method for parcellating fetal cortical surface atlases.
To define distinct fetal cortical regions based on dynamic growth patterns of cortical properties.

Main Methods:

Constructed complementary similarity matrices based on vertex growth trajectories and their correlations.
Nonlinearly fused similarity matrices to capture comprehensive growth pattern information.
Applied spectral clustering on the fused matrix to parcellate fetal cortical atlases.

Main Results:

Generated age-specific fetal cortical atlases with biologically meaningful parcellation maps for 25 fetuses (26-29 weeks).
The parcellation maps revealed spatially contiguous, hierarchical, and bilaterally symmetric patterns of cortical surface development.
Growth patterns effectively delineate distinct regions crucial for understanding fetal brain development.

Conclusions:

The proposed data-driven method successfully parcellates fetal cortical atlases based on growth patterns.
This approach provides biologically meaningful maps essential for studying fetal brain development and function.
The generated atlases offer insights into the dynamic processes of early cortical organization.