title: Surface-based and probabilistic atlases of primate cerebral cortex.
abstract: Brain atlases play an increasingly important role in neuroimaging, as they are invaluable for analysis, visualization, and comparison of results across studies. For both humans and macaque monkeys, digital brain atlases of many varieties are in widespread use, each having its own strengths and limitations. For studies of cerebral cortex there is particular utility in hybrid atlases that capitalize on the complementary nature of surface and volume representations, are based on a population average rather than an individual brain, and include measures of variation as well as averages. Linking different brain atlases to one another and to online databases containing a growing body of neuroimaging data will enable powerful forms of data mining that accelerate discovery and improve research efficiency.
authors.affiliation: Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA. vanessen@brainvis.wustl.edu
authors.forename: David C
authors.initials: DC
authors.lastname: Van Essen
authors.forename: Donna L
authors.initials: DL
authors.lastname: Dierker
mesh_terms: D000818:Animals; D002540:Cerebral Cortex / Q000033:anatomy & histology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D011323:Primates / Q000033:anatomy & histology*