Graph Analysis of Structural Connectomics Coupled with Overall Survivals in Glioblastoma Patients

Meyer-Baese U, Sokolikj Z, Ali Y, Scholz D, Wiestler B, Meyer-Baese A, Stadlbauer A (2026)

Publication Type: Conference contribution

Publication year: 2026

Journal

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Publisher: SPIE

Book Volume: 13929

Conference Proceedings Title: Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Event location: Vancouver, BC, CAN

ISBN: 9781510697959

DOI: 10.1117/12.3088204

Abstract

In this paper, we analyze structural connectivity matrices obtained from data of the study,1 specifically addressing network controllability and robustness with respect to overall survival data in glioblastoma patients. We determine both driver and critical nodes of these graphs which are critical for network disintegration and associated with poor overall survival and determine the differences in these two important groups related to overall survival.

Authors with CRIS profile

Andreas Stadlbauer Department of Neurosurgery

Involved external institutions

Florida State University (FSU) US United States (USA) (US) Hochschule Darmstadt (h_da) DE Germany (DE) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Meyer-Baese, U., Sokolikj, Z., Ali, Y., Scholz, D., Wiestler, B., Meyer-Baese, A., & Stadlbauer, A. (2026). Graph Analysis of Structural Connectomics Coupled with Overall Survivals in Glioblastoma Patients. In Barjor S. Gimi, Andrzej Krol (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vancouver, BC, CAN: SPIE.

MLA:

Meyer-Baese, U., et al. "Graph Analysis of Structural Connectomics Coupled with Overall Survivals in Glioblastoma Patients." Proceedings of the Medical Imaging 2026: Clinical and Biomedical Imaging, Vancouver, BC, CAN Ed. Barjor S. Gimi, Andrzej Krol, SPIE, 2026.

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