Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes

• Published in: NeuroImage (Orlando, Fla.) Vol. 80; pp. 246 - 262
• Main Authors: Yan, Chao-Gan, Craddock, R. Cameron, Zuo, Xi-Nian, Zang, Yu-Feng, Milham, Michael P.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.10.2013; Elsevier Limited
• Subjects: Age; Animals; Brain - anatomy & histology; Brain - physiology; Connectome - standards; Connectome - statistics & numerical data; Data aggregation; Data Interpretation, Statistical; Functional connectomics; Humans; Magnetic Resonance Imaging - standards; Magnetic Resonance Imaging - statistics & numerical data; Medical imaging; Models, Anatomic; Models, Neurological; Nerve Net - anatomy & histology; Nerve Net - physiology; Reference Values; Reproducibility of Results; Resting-state fMRI; Sensitivity and Specificity; Standard deviation; Standardization; Studies; Test–retest reliability; Test–retest reliability; Resting-state fMRI; Data aggregation; Functional connectomics; Standardization
• ISSN: 1053-8119; 1095-9572; 1095-9572
• DOI: 10.1016/j.neuroimage.2013.04.081

As researchers increase their efforts to characterize variations in the functional connectome across studies and individuals, concerns about the many sources of nuisance variation present and their impact on resting state fMRI (R-fMRI) measures continue to grow. Although substantial within-site vari...