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Updated: Oct 24, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Modelling Cortical Laminar Connectivity in the Macaque Brain.

Ittai Shamir¹, Yaniv Assaf^2,3

¹Department of Neurobiology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel. ittaisha@mail.tau.ac.il.

Neuroinformatics

|August 15, 2021

Summary

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This study maps macaque brain connectivity at the laminar level using MRI, achieving 83% accuracy compared to previous tracing studies. This advances our understanding of structural connectivity in the primate cerebral cortex.

Area of Science:

Neuroscience
Primate Brain Connectivity
Structural MRI

Background:

The Felleman and Van Essen (1991) study established hierarchical processing in the primate cerebral cortex.
Previous work relied on tracing methods to map connections from cortical regions to the laminar level.

Purpose of the Study:

To revisit and map laminar-level connectivity in the macaque brain using a whole-brain MRI-based approach.
To develop and validate a model for inferring laminar connectivity from MRI data.

Main Methods:

Utilized multimodal ex-vivo MRI imaging of the macaque brain (white and grey matter).
Integrated imaging data with a model defining rules for expanding cortical connections to the laminar level.
Examined various fiber tracking routines to infer laminar connectivity.

Keywords:

Cortical connectivity2 Cortical layer connectivity4 Cortical layers1 Cortical modelling5 Magnetic resonance imaging3

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Last Updated: Oct 24, 2025

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Main Results:

Developed a model that infers macaque cortical laminar connectivity.
Validated the model in the visual cortex, achieving 83% accuracy against Felleman and Van Essen's findings.
Demonstrated the model's ability to explore structural connectivity at the laminar level.

Conclusions:

The MRI-based approach provides a novel method for mapping laminar connectivity in the macaque brain.
This approach offers a more comprehensive definition of the cortex by accounting for its laminar composition.
The findings open new avenues for studying structural connectivity on a laminar level.