Population Neuroscience: Dementia Epidemiology Serving Precision Medicine and Population Health

Mary Ganguli, Emiliano Albanese, Sudha Seshadri, David A. Bennett, Constantine Lyketsos, Walter A. Kukull, Ingmar Skoog, Hugh C. Hendrie

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1-9
Number of pages9
JournalAlzheimer Disease and Associated Disorders
Volume32
Issue number1
DOIs
StatePublished - 2018

Keywords

  • aging
  • cohort effects
  • life course epidemiology
  • molecular epidemiology
  • protective factors
  • risk factors
  • translational epidemiology
  • trends

ASJC Scopus subject areas

  • Clinical Psychology
  • Gerontology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health

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