title: Individual Variability of the System-Level Organization of the Human Brain.
abstract: Recent functional magnetic resonance imaging-based resting-state functional connectivity analyses of group average data have characterized large-scale systems that represent a high level in the organizational hierarchy of the human brain. These systems are likely to vary spatially across individuals, even after anatomical alignment, but the characteristics of this variance are unknown. Here, we characterized large-scale brain systems across two independent datasets of young adults. In these individuals, we were able to identify brain systems that were similar to those described in the group average, and we observed that individuals had consistent topological arrangement of the system features present in the group average. However, the size of system features varied across individuals in systematic ways, such that expansion of one feature of a given system predicted expansion of other parts of the system. Individual-specific systems also contained unique topological features not present in group average systems; some of these features were consistent across a minority of individuals. These effects were observed even after controlling for data quality and for the accuracy of anatomical registration. The variability characterized here has important implications for cognitive neuroscience investigations, which often assume the functional equivalence of aligned brain regions across individuals.
authors.affiliation: VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA.|Department of Neurology.
authors.forename: Evan M
authors.initials: EM
authors.lastname: Gordon
authors.affiliation: Department of Neurology.
authors.forename: Timothy O
authors.initials: TO
authors.lastname: Laumann
authors.affiliation: Department of Neurology.
authors.forename: Babatunde
authors.initials: B
authors.lastname: Adeyemo
authors.affiliation: Department of Neurology.|Department of Psychology.|Department of Radiology.|Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO, USA.
authors.forename: Steven E
authors.initials: SE
authors.lastname: Petersen
mesh_terms: D000076103:Biological Variation, Individual; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D055815:Young Adult
keywords: brain systems; fMRI; functional connectivity; individual variability