Reproducibility of graph measures at the subject level using resting‐state fMRI

• Published in: Brain and behavior Vol. 10; no. 8; pp. 2336 - 2351
• Main Authors: Ran, Qian, Jamoulle, Tarik, Schaeverbeke, Jolien, Meersmans, Karen, Vandenberghe, Rik, Dupont, Patrick
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.08.2020; John Wiley and Sons Inc; Wiley
• Subjects: Alzheimer's disease; Biomarkers; Brain - diagnostic imaging; Brain Mapping; Brain research; denoising; graph measures; Humans; Influence; Magnetic Resonance Imaging; network construction; Noise; Original Research; Physiology; Reproducibility; Reproducibility of Results; resting‐state fMRI; Software; test–retest variability; Young Adult; denoising; test-retest variability; graph measures; resting-state fMRI; reproducibility; network construction
• ISSN: 2162-3279; 2162-3279
• DOI: 10.1002/brb3.1705

Introduction Graph metrics have been proposed as potential biomarkers for diagnosis in clinical work. However, before it can be applied in a clinical setting, their reproducibility should be evaluated. Methods This study systematically investigated the effect of two denoising pipelines and different...