Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Murphy says mobile sensor data will allow adaptive interventions for maximizing healthy outcomes

Frey comments on why sunbelt metro area economies are still struggling

Krause says having religious friends leads to gratitude, which is associated with better health

Highlights

PSC Fall 2014 Newsletter now available

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Michigan's graduate sociology program tied for 4th with Stanford in USN&WR rankings

Jeff Morenoff makes Reuters' Highly Cited Researchers list for 2014

Next Brown Bag

Monday, Nov 3
Melvin Stephens

What is a representative brain? Neuroscience meets population science

Publication Abstract

Falk, Emily, Luke Hyde, Colter Mitchell, Jessica Faul, Richard Gonzalez, Mary Heitzeg, Daniel Keating, Kenneth M. Langa, Meghan Martz, Julie Maslowsky, Frederick Morrison, Douglas Noll, Megan Patrick, Fabian T. Pfeffer, Patricia Reuter-Lorenz, Moriah Thomason, Pamela Davis-Kean, Christopher Monk, and John E. Schulenberg. 2013. "What is a representative brain? Neuroscience meets population science." Proceedings of the National Academy of Sciences, 110(44): 17615–17622.

The last decades of neuroscience research have produced immense progress in the methods available to understand brain structure and function. Social, cognitive, clinical, affective, economic, communication, and developmental neurosciences have begun to map the relationships between neuro-psychological processes and behavioral outcomes, yielding a new understanding of human behavior and promising interventions. However, a limitation of this fast moving research is that most findings are based on small samples of convenience. Furthermore, our understanding of individual differences may be distorted by unrepresentative samples, undermining findings regarding brain–behavior mechanisms. These limitations are issues that social demographers, epidemiologists, and other population scientists have tackled, with solutions that can be applied to neuroscience. By contrast, nearly all social science disciplines, including social demography, sociology, political science, economics, communication science, and psychology, make assumptions about processes that involve the brain, but have incorporated neural measures to differing, and often limited, degrees; many still treat the brain as a black box. In this article, we describe and promote a perspective—population neuroscience—that leverages interdisciplinary expertise to (i) emphasize the importance of sampling to more clearly define the relevant populations and sampling strategies needed when using neuroscience methods to address such questions; and (ii) deepen understanding of mechanisms within population science by providing insight regarding underlying neural mechanisms. Doing so will increase our confidence in the generalizability of the findings. We provide examples to illustrate the population neuroscience approach for specific types of research questions and discuss the potential for theoretical and applied advances from this approach across areas.

DOI:10.1073/pnas.1310134110 (Full Text)

PMCID: PMC3816464. (Pub Med Central)

Browse | Search : All Pubs | Next