title: Neuroimaging and genetics in aging and age-related disease.
abstract: Neuroimaging, genetics, and phenomic explorations in the study of brain aging seek to characterize typical patterns of morphometric, function, and connectomics and how these change over the lifespan. With a detailed but multifaceted knowledge of these patterns, neuroscientists and clinicians can better recognize the processes at play when age-related brain changes vary from these expectations. Employing a range of neuroimaging methods, genome-wide as well as focused gene targeting, and 'big data' computation, progress is occurring toward gaining such understanding. We are excited to present these articles as a special issue of Brain Imaging and Behavior which grew out of from our New Horizons in Human Brain Imaging meeting on the theme of the neuroimaging of brain aging, held in March 2013.
authors.affiliation: The Institute for Neuroimaging and Informatics (INI) and Laboratory of Neuro Imaging (LONI), Keck School of Medicine of USC, University of Southern California, 2001 North Soto Street - Room 102, Los Angeles, CA, 90032, USA, jvanhorn@ini.usc.edu.
authors.forename: John Darrell
authors.initials: JD
authors.lastname: Van Horn
mesh_terms: D000375:Aging / Q000235:genetics* / Q000473:pathology / Q000502:physiology; D000544:Alzheimer Disease / Q000235:genetics / Q000473:pathology / Q000503:physiopathology; D001921:Brain / Q000473:pathology* / Q000503:physiopathology*; D001931:Brain Mapping; D060825:Cognitive Dysfunction / Q000235:genetics / Q000473:pathology / Q000503:physiopathology; D006801:Humans; D059906:Neuroimaging