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Related Experiment Video

Updated: Dec 2, 2025

Chronic Implantation of Whole-cortical Electrocorticographic Array in the Common Marmoset

Chronic Implantation of Whole-cortical Electrocorticographic Array in the Common Marmoset

Published on: February 1, 2019

Marmoset Brain ISH Data Revealed Molecular Difference Between Cortical Folding Patterns.

Xiao Li¹, Tao Liu^2,3, Yujie Li⁴

¹Key Laboratory of Information Fusion Technology, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.

Cerebral Cortex (New York, N.Y. : 1991)

|November 5, 2020

Summary

Researchers identified distinct gene expression patterns linked to convex and concave cortical folding in marmoset brains. This discovery offers molecular insights into brain structure and function differences.

Keywords:

ISH cortical folding marmoset

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Published on: January 2, 2012

Area of Science:

Neuroscience
Genomics
Comparative Anatomy

Background:

Cortical folding patterns (convex and concave) show structural, connectional, and functional differences across mammalian brains.
The molecular basis for these folding pattern distinctions remains largely unexplored.

Purpose of the Study:

To investigate the molecular underpinnings of convex versus concave cortical folding patterns in marmoset brains.
To correlate gene expression profiles with macroscale brain metrics.

Main Methods:

Utilized magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) data to delineate cortical folding patterns.
Employed machine learning and visualization tools to analyze transcriptome differences between convex and concave regions.
Conducted gene enrichment and axonal guidance pathway analyses.

Main Results:

Identified a set of genes differentially expressed in convex and concave cortical folding patterns.
Demonstrated that gene expression profiles can reliably differentiate these folding patterns.
Neuroscientific interpretation of differentially expressed genes provides molecular insights into regional brain differences.

Conclusions:

Gene expression profiles are key molecular markers differentiating cortical folding patterns.
This study offers a molecular perspective on the structural and functional variations in cortical folding.
Provides a foundation for understanding gene regulation in brain development and evolution.