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Modelling the laminar connectome of the human brain
Ittai Shamir1, Omri Tomer2, Ronnie Krupnik2
1Department of Neurobiology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel. ittaisha@mail.tau.ac.il.
Brain Structure & Function
|June 3, 2022
Summary
This study introduces a laminar connectome model, revealing subdivisions within brain network hubs. This advances our understanding of cortical connectivity and its role in brain function.
Area of Science:
- Neuroscience
- Computational Biology
- Medical Imaging
Background:
- The human connectome, or brain's wiring diagram, lacks detailed laminar information.
- Current tractography focuses on regional, not laminar, brain partitioning.
- This limits understanding of the cortex as a homogenous unit.
Purpose of the Study:
- To develop and analyze a laminar-level human connectome model.
- To overcome limitations in current brain connectivity mapping.
- To investigate the role of laminar components in cortical connectivity.
Main Methods:
- Utilized a data-derived model of cortical laminar connectivity.
- Integrated multimodal MRI data (white matter and grey matter composition).
- Modeled the laminar connectome in 30 healthy human brains.
Main Results:
- Demonstrated subdivision of standard connectome hubs into laminar components.
- Provided a novel perspective on the role of laminar structures in connectivity.
- Revealed new insights into structural and functional connectivity.
Conclusions:
- The laminar connectome offers a more detailed brain network representation.
- This approach enhances understanding of cortical organization and function.
- Opens new avenues for research in brain connectivity.
