title: The clinical value of large neuroimaging data sets in Alzheimer's disease.
abstract: Rapid advances in neuroimaging and cyberinfrastructure technologies have brought explosive growth in the Web-based warehousing, availability, and accessibility of imaging data on a variety of neurodegenerative and neuropsychiatric disorders and conditions. There has been a prolific development and emergence of complex computational infrastructures that serve as repositories of databases and provide critical functionalities such as sophisticated image analysis algorithm pipelines and powerful three-dimensional visualization and statistical tools. The statistical and operational advantages of collaborative, distributed team science in the form of multisite consortia push this approach in a diverse range of population-based investigations.
authors.affiliation: Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, 635 Charles Young Drive S, Suite 225, Los Angeles, CA 90095-7334, USA. toga@loni.ucla.edu
authors.forename: Arthur W
authors.initials: AW
authors.lastname: Toga
mesh_terms: D000544:Alzheimer Disease / Q000175:diagnosis*; D057225:Data Mining / Q000379:methods*; D016208:Databases, Factual; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D059906:Neuroimaging / Q000379:methods*; D011873:Radiology Information Systems / Q000458:organization & administration*; D014584:User-Computer Interface