Uncovering multi-site identifiability based on resting-state functional connectomes

• Published in: NeuroImage (Orlando, Fla.) Vol. 202; p. 115967
• Main Authors: Bari, Sumra, Amico, Enrico, Vike, Nicole, Talavage, Thomas M., Goñi, Joaquín
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.11.2019; Elsevier Limited
• Subjects: Brain fingerprinting; Brain research; Datasets; Fingerprinting; Functional connectomes; Functional magnetic resonance imaging; Identifiability; Medical imaging; Multi-site; Multimedia; Neural networks; Neuroimaging; Resting-state fMRI; Scanners; Science; Studies; Systems stability; Indiana; United States > US; Resting-state fMRI; Brain fingerprinting; Identifiability; Functional connectomes; Multi-site

Multi-site studies are becoming important to increase statistical power, enhance generalizability, and to improve the likelihood of pooling relevant subgroups together—activities which are otherwise limited by the availability of subjects or funds at a single site. Even with harmonized imaging seque...