Modeling Change in the Brain: methods for cross-sectional and longitudinal data

Philip T. Reiss, Ciprian M. Crainiceanu, Wesley K. Thompson, Lan Huo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Change in the human brain takes many forms, which are studied in various biomedical fields including neurology, psychiatry, developmental psychology and radiology. Imaging studies, in particular using magnetic resonance imaging (MRI), have helped to characterize the typical course of brain development in early life (e.g., 30), and of brain aging in later life (e.g., 21). With regard to abnormalities of cognition, behavior, and brain health, the focus has depended on the age group being studied: research on disorders of the young has sought to pinpoint anomalies in neurodevelopmental trajectories (e.g., 86), whereas studies of adult disorders have emphasized modeling disease-related brain changes (e.g., 44).
Original languageEnglish
Title of host publicationHandbook of Neuroimaging Data Analysis
EditorsHernando Ombao, Martin Lindquist, Wesley Thompson, John Aston
PublisherCRC Press
Number of pages28
ISBN (Electronic)9781315373652
StatePublished - 2016


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