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Updated: Jul 24, 2025
06:56
Generating a Fractal Microstructure of Laminin-111 to Signal to Cells
Published on: September 28, 2020
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Expanding connectomics to the laminar level: A perspective.
Ittai Shamir1, Yaniv Assaf1,2
1Department of Neurobiology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Network Neuroscience (Cambridge, Mass.)
|July 3, 2023
Summary
Connectomics research is advancing by integrating detailed cortical layer analysis with brain-wide network mapping. This new approach, laminar connectomics, offers a more nuanced understanding of brain connectivity.
Area of Science:
- Neuroimaging
- Connectomics
- Human Brain Anatomy
Background:
- Current connectomics models often treat the cerebral cortex as a homogenous unit due to limited understanding of internal fiber tract endpoints.
- Advances in relaxometry and inversion recovery imaging have enabled detailed exploration of cortical gray matter's laminar microstructure.
Purpose of the Study:
- To summarize developments and challenges in multi-T1 weighted imaging of cortical laminar substructure.
- To highlight limitations in current structural connectomics.
- To introduce the emerging field of 'laminar connectomics' integrating these areas.
Main Methods:
- Utilizing multi-T1 weighted imaging techniques, including inversion recovery.
- Developing automated frameworks for cortical laminar composition analysis.
- Integrating laminar data with existing connectomics frameworks.
Main Results:
- Progress in imaging techniques allows for detailed analysis of cortical laminar microstructure.
- An automated framework for laminar analysis has been established.
- Studies have explored cortical dyslamination in epilepsy and age-related laminar differences.
Conclusions:
- Laminar connectomics represents a new model-based subfield enhancing brain connectivity characterization.
- Future connectomics research will likely adopt generalizable, data-driven models for multimodal MRI integration.
- This integration promises a more nuanced and detailed understanding of brain connectivity patterns.
Keywords:
Anatomical mappingBrain network analysisComputational modelsConnectomicsCortical layersNeuronal structuresMore Related Videos
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