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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
New research directions in neuroepidemiology
L D Cowan1, A Leviton, O Dammann
1Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City 73190, USA. linda-cowan@ouhsc.edu
Abstract:
Many of the risk factors previously identified for disorders such as Alzheimer's disease, periventricular leukomalacia, multiple sclerosis, stroke, cerebral palsy, mental retardation, and acquired learning and attention disorders ultimately may be shown to damage the central and peripheral nervous systems through activation of inflammatory mediators. The challenge to epidemiologists in the future is to expand use of epidemiologic methods to explore how immune-mediated insults produce CNS disorders in human populations. Studies of the association of use of nonsteroidal anti-inflammatory drugs with risk of Alzheimer's disease and those of the association of immune parameters with risk of cerebral palsy are excellent examples of how epidemiology can contribute to our understanding of the causes of neurologic and/or neurodevelopmental disorders. Many of the immune parameters of interest have short half-lives and are difficult to measure outside of the laboratory setting. Questions also remain as to the proper timing of measurements in relation to the initial insult and, in some cases, which tissue is the most appropriate to sample. These measurement issues will need to be resolved before use of immune biomarkers in epidemiologic studies of the etiologies of neurologic disorders can be fully realized. Epidemiologists are most likely to help identify ways to prevent neurologic disorders if they are knowledgeable about the molecular biology of inflammation, modulators of CNS vulnerability, and genetic polymorphisms that influence both inflammation and CNS vulnerability and are prepared to become adept at biomarker epidemiology. This does not necessarily compel them to gain extensive knowledge of neurobiology. Rather, neuroepidemiology in the 21st century will require increased collaboration between epidemiologists, neurologists, and neurobiologists.

