| Literature DB >> 29319603 |
Mary Ganguli1, Emiliano Albanese2, Sudha Seshadri3, David A Bennett4, Constantine Lyketsos5, Walter A Kukull6, Ingmar Skoog7, Hugh C Hendrie8.
Abstract
Over recent decades, epidemiology has made significant contributions to our understanding of dementia, translating scientific discoveries into population health. Here, we propose reframing dementia epidemiology as "population neuroscience," blending techniques and models from contemporary neuroscience with those of epidemiology and biostatistics. On the basis of emerging evidence and newer paradigms and methods, population neuroscience will minimize the bias typical of traditional clinical research, identify the relatively homogenous subgroups that comprise the general population, and investigate broader and denser phenotypes of dementia and cognitive impairment. Long-term follow-up of sufficiently large study cohorts will allow the identification of cohort effects and critical windows of exposure. Molecular epidemiology and omics will allow us to unravel the key distinctions within and among subgroups and better understand individuals' risk profiles. Interventional epidemiology will allow us to identify the different subgroups that respond to different treatment/prevention strategies. These strategies will inform precision medicine. In addition, insights into interactions between disease biology, personal and environmental factors, and social determinants of health will allow us to measure and track disease in communities and improve population health. By placing neuroscience within a real-world context, population neuroscience can fulfill its potential to serve both precision medicine and population health.Entities:
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Year: 2018 PMID: 29319603 PMCID: PMC5821530 DOI: 10.1097/WAD.0000000000000237
Source DB: PubMed Journal: Alzheimer Dis Assoc Disord ISSN: 0893-0341 Impact factor: 2.703