Modeling Change in the Brain

Methods for Cross-Sectional and Longitudinal Data

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

Handbook of Neuroimaging Data Analysis

Print publication date:  November  2016
Online publication date:  November  2016

Print ISBN: 9781482220971
eBook ISBN: 9781315373652
Adobe ISBN:

10.1201/9781315373652-19

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Abstract

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).

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