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Updated: Aug 9, 2026

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
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Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient
Hansol Lee1,2,3, Yixin Ma1,2, Kwok-Shing Chan1,2
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
Communications Biology
|March 24, 2026
Summary
High-performance MRI can now map the human brain's cortical layers noninvasively. This soma and neurite density imaging (SANDI) technique reveals detailed microstructural organization, mirroring histological findings.
Area of Science:
- Neuroimaging
- Human Brain Anatomy
- Advanced MRI Techniques
Background:
- Understanding the human brain's layered structure (cortical laminar cytoarchitecture and myeloarchitecture) is crucial.
- Current methods often rely on invasive histological analysis, limiting in vivo studies.
Purpose of the Study:
- To characterize in vivo cortical laminar microstructure using advanced diffusion MRI.
- To demonstrate the feasibility of noninvasive mapping of the brain's laminar architecture.
Main Methods:
- Utilized a next-generation Connectome MRI scanner with high gradient strength and slew rate.
- Applied soma and neurite density imaging (SANDI) metrics derived from 1 mm diffusion MRI.
- Performed cortical depth-dependent analyses to assess laminar profiles.
Main Results:
- SANDI revealed distinct laminar profiles matching known histological patterns, with intra-soma signal fraction peaking at ~55% cortical depth.
- Visual cortex showed higher intra-soma signal fraction than motor cortex in deeper layers.
- Correlations between intra-soma signal fraction and cortical curvature were layer-specific.
Conclusions:
- Noninvasive mapping of cortical laminar architecture is feasible using high-performance gradient MRI.
- SANDI provides a potential in vivo surrogate for histological analysis of brain microstructure.
- This technique enables future studies on cortical laminar organization.

