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

Authors
 Kisung You  ;  Hae-Jeong Park 
Citation
 NEUROIMAGE, Vol.225 : 117464, 2021-01 
Journal Title
NEUROIMAGE
ISSN
 1053-8119 
Issue Date
2021-01
MeSH
Algorithms ; Connectome / instrumentation* ; Data Interpretation, Statistical ; Databases, Factual ; Humans ; Magnetic Resonance Imaging / methods* ; Regression Analysis ; Signal Processing, Computer-Assisted
Keywords
Functional connectivity ; Principal geodesic analysis ; Riemannian manifold ; Symmetric positive definite
Abstract
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 geometric properties, the analysis and operation of functional connectivity matrices may well be performed on the Riemannian manifold of the SPD space. Analysis of functional networks on the SPD space takes account of all the pairwise interactions (edges) as a whole, which differs from the conventional rationale of considering edges as independent from each other. Despite its geometric characteristics, only a few studies have been conducted for functional network analysis on the SPD manifold and inference methods specialized for connectivity analysis on the SPD manifold are rarely found. The current study aims to show the significance of connectivity analysis on the SPD space and introduce inference algorithms on the SPD manifold, such as regression analysis of functional networks in association with behaviors, principal geodesic analysis, clustering, state transition analysis of dynamic functional networks and statistical tests for network equality on the SPD manifold. We applied the proposed methods to both simulated data and experimental resting state fMRI data from the human connectome project and argue the importance of analyzing functional networks under the SPD geometry. All the algorithms for numerical operations and inferences on the SPD manifold are implemented as a MATLAB library, called SPDtoolbox, for public use to expediate functional network analysis on the right geometry.
Files in This Item:
T202100026.pdf Download
DOI
10.1016/j.neuroimage.2020.117464
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
Yonsei Authors
Park, Hae Jeong(박해정) ORCID logo https://orcid.org/0000-0002-4633-0756
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/181965
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