TY - JOUR
T1 - Population Neuroscience
T2 - Dementia Epidemiology Serving Precision Medicine and Population Health
AU - Ganguli, Mary
AU - Albanese, Emiliano
AU - Seshadri, Sudha
AU - Bennett, David A.
AU - Lyketsos, Constantine
AU - Kukull, Walter A.
AU - Skoog, Ingmar
AU - Hendrie, Hugh C.
N1 - Publisher Copyright:
© 2018 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - aging
KW - cohort effects
KW - life course epidemiology
KW - molecular epidemiology
KW - protective factors
KW - risk factors
KW - translational epidemiology
KW - trends
UR - http://www.scopus.com/inward/record.url?scp=85044294690&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044294690&partnerID=8YFLogxK
U2 - 10.1097/WAD.0000000000000237
DO - 10.1097/WAD.0000000000000237
M3 - Article
C2 - 29319603
AN - SCOPUS:85044294690
SN - 0893-0341
VL - 32
SP - 1
EP - 9
JO - Alzheimer Disease and Associated Disorders
JF - Alzheimer Disease and Associated Disorders
IS - 1
ER -