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

PSC In The News

RSS Feed icon

Clinton's and Trump's appeal to voters viewed from perspective of Neidert and Lesthaeghe's SDT framework

Stephenson assessing in-home HIV testing and counseling for male couples

Thompson says mass incarceration causes collapse of Detroit neighborhoods

Highlights

Maggie Levenstein named director of ISR's Inter-university Consortium for Political and Social Research

Arline Geronimus receives 2016 Harold R. Johnson Diversity Service Award

PSC spring 2016 newsletter: Kristin Seefeldt, Brady West, newly funded projects, ISR Runs for Bob, and more

AAUP reports on faculty compensation by category, affiliation, and academic rank

Next Brown Bag

PSC Brown Bags
will resume fall 2016

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 E. 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 of the United States of America, 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