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An MRI-Based, Data-Driven Model of Cortical Laminar Connectivity.

Ittai Shamir1, Yaniv Assaf2,3

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

Neuroinformatics
|September 19, 2020
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Summary

This review proposes a simplified model integrating white and grey matter MRI data for exploring whole-brain connectivity. It addresses cortical layers, vertical, and horizontal connections, bridging current imaging resolution gaps.

Keywords:
Cortical connectivity2Cortical layer connectivity4Cortical layers1Cortical modelling5Magnetic resonance imaging3

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Area of Science:

  • Neuroscience
  • Neuroimaging
  • Connectomics

Background:

  • Cerebral cortex research has evolved significantly over two centuries.
  • Magnetic Resonance Imaging (MRI) advanced global white matter connectomics and grey matter laminar imaging.
  • A gap exists in mesoscale cortical laminar connectivity data, hindering integration of current imaging resolutions.

Purpose of the Study:

  • To systematically review articles on cortical laminar connectivity.
  • To propose a simplified, data-driven model integrating white and grey matter MRI datasets.
  • To offer a novel approach for exploring whole-brain tissue-level connectivity.

Main Methods:

  • Systematic review of prominent published articles on cortical laminar connectivity.
  • Development of a simplified model focusing on three principal cortical building blocks: laminar grouping, vertical connections, and horizontal connections.
  • Integration of white and grey matter MRI datasets.

Main Results:

  • The model integrates diverse MRI datasets for a unified view of connectivity.
  • It addresses cortical layer definitions, intraregional (vertical), and interregional (horizontal) connections.
  • The approach is applicable to MRI limitations in specificity and resolution.

Conclusions:

  • The proposed model provides a simplified view of histological and microscopical knowledge in laminar research.
  • It facilitates a novel way to explore whole-brain tissue-level connectivity by bridging connectomics and laminar imaging resolutions.
  • This framework aids in understanding the cortex's complex organization and interconnections within MRI constraints.