Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity

Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity

Common representations of functional networks of resting state fMRI time series, including covariance, precision, and cross-correlation matrices, belong to the family of symmetric positive definite (SPD) matrices forming a special mathematical structure called Riemannian manifold. Due to its geometr...

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Bibliographic Details
Main Authors: Kisung You, Hae-Jeong Park
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage
Subjects:
Functional connectivity
Riemannian manifold
Symmetric positive definite
Principal geodesic analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920309496

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http://www.sciencedirect.com/science/article/pii/S1053811920309496

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