The Rotterdam Scan Study: design update 2016 and main findings

• Main Authors: Ikram, M.A, van der Lugt, A, Niessen, W.J, Koudstaal, P.J, Krestin, G.P, Hofman, A, Bos, D, Vernooij, M.W
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: Springer Netherlands 2020
• Subjects: Article; brain blood flow; brain tissue; cerebrovascular disease; cohort analysis; connectome; diffusion tensor imaging; disease classification; functional magnetic resonance imaging; genetics; human; image analysis; image processing; image quality; incidental finding; neuroimaging; neurologic disease; nuclear magnetic resonance imaging; practice guideline; resting state network; structure analysis; white matter; white matter lesion; aged; aging; brain; brain artery; brain mapping; chronic disease; computer assisted diagnosis; female; health survey; longitudinal study; male; middle aged; Nervous System Diseases; Netherlands; pathology; pathophysiology; procedures; prospective study; risk factor; vascularization; very elderly; Aged; Aged, 80 and over; Aging; Brain; Brain Mapping; Cerebral Arteries; Chronic Disease; Female; Humans; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted; Longitudinal Studies; Magnetic Resonance Imaging; Male; Middle Aged; Neuroimaging; Population Surveillance; Prospective Studies; Risk Factors
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/179636
• Institution: National University of Singapore

10.1007/s10654-015-0105-7