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Modelling Cortical Laminar Connectivity in the Macaque Brain.
Ittai Shamir1, Yaniv Assaf2,3
1Department of Neurobiology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel. ittaisha@mail.tau.ac.il.
Neuroinformatics
|August 15, 2021
Summary
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.
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.

