Network curvature as a hallmark of brain structural connectivity

Hamza Farooq; Yongxin Chen; Tryphon T. Georgiou; Allen Tannenbaum; Christophe Lenglet

doi:10.1038/s41467-019-12915-x

Nature Communications (Oct 2019)

Network curvature as a hallmark of brain structural connectivity

Hamza Farooq,
Yongxin Chen,
Tryphon T. Georgiou,
Allen Tannenbaum,
Christophe Lenglet

Affiliations

Hamza Farooq: Department of Electrical and Computer Engineering, University of Minnesota
Yongxin Chen: School of Aerospace Engineering, Georgia Institute of Technology
Tryphon T. Georgiou: Department of Mechanical and Aerospace Engineering, University of California
Allen Tannenbaum: Departments of Computer Science and Applied Mathematics & Statistics, Stony Brook University
Christophe Lenglet: Center for Magnetic Resonance Research, University of Minnesota

DOI: https://doi.org/10.1038/s41467-019-12915-x
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 11

Abstract

Read online

The brain can often continue to function despite lesions in many areas, but damage to particular locations may have serious effects. Here, the authors use the concept of Ollivier-Ricci curvature to investigate the robustness of brain networks.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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