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Abstract #4048

Diffusion MRI Microstructural Similarity Networks Map the Heritable and Hierarchical Organization of Gray Matter in the Human Brain

Amir Sadikov1,2, Hannah Choi2, Lanya T. Cai2, Xinlei Pan3, and Pratik Mukherjee1,2
1Graduate Group in Bioengineering, University of California, San Francisco, San Francisco, CA, United States, 2Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 3University of California, Berkeley, Berkeley, CA, United States

Synopsis

Keywords: Diffusion Analysis & Visualization, Brain Connectivity

Motivation: In-vivo microstructural similarity between gray matter regions remains poorly understood in the human brain.

Goal(s): We aim to map the regional microstructural covariation of human gray matter with diffusion MRI.

Approach: We employ rotationally invariant spherical harmonic features to compute diffusion similarity networks (DSNs) for Human Connectome Project data.

Results: Compared to previously reported measures of gray matter similarity, DSNs have greater biological fidelity, higher heritability, and better correlation to development and cognition. DSNs encode for functional and structural connectivity and gene expression; follow cytoarchitectural and laminar differentiation; align with the sensory-fugal and sensorimotor-association axes; and contribute to neural oscillatory dynamics.

Impact: Diffusion similarity networks can be easily integrated into conventional diffusion MRI analysis, adding information complementary to structural connectivity, and could prove useful in investigating an array of neurological and psychiatric conditions.

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Keywords