Scott Huettel
Principal Investigator
Professor in the Department of Psychology and Neuroscience
Bass Fellow
Professor of Neurobiology
Professor in Psychiatry and Behavioral Sciences
Senior Advisor to the Director of the Center for Brain Imaging and Analysis
Affiliate of the Duke Initiative for Science & Society
Member of the Center for Cognitive Neuroscience
Faculty Network Member of the Duke Institute for Brain Sciences
Affiliate of the Center for Child and Family Policy
Faculty Research Scholar of DuPRI's Population Research Center
Faculty Research Scholar of DuPRI's Center for Population Health & Aging
Contact Information

Huettel Lab

We study the neural basis of decision making and related aspects of cognition. Key techniques include functional neuroimaging, computational modeling, eye tracking and other behavioral measurements, genetic and hormonal analyses, and other behavioral and physiological measures in human participants.

Huettel Research

The field of neuroeconomics incorporates many disciplines of learning, including economics, cognitive and social psychology, neuroscience, and biology. Techniques from each discipline are used to try and further understand the decisions we make. Look below to learn more about the specific techniques we use to try and shed light on why we, as humans, make the choices we do.

Functional Neuroimaging Methods

Neuroimaging research in our laboratory uses functional magnetic resonance imaging (fMRI) to study the mechanisms underlying decision making. To better understand this neuroimaging technique and its limitations, we have published studies on the basic properties of the hemodynamic response measured by fMRI. Properties investigated by our laboratory have included refractory effects associated with repeated stimulus presentation, stimulus-specific adaptation effects, differences in the hemodynamic response across individuals and subject groups, effects of signal-to-noise upon the reproducibility of activation, and the relation between fMRI activation and intracranially recorded activity. Some studies use pattern classification algorithms derived from machine learning (e.g., support vector machines, SVM) to identify local information carried across voxels within a brain region. We also apply functional connectivity techniques to understand large-scale networks in the brain -- and how those networks contribute to behavior.

Finally, we explore major issues in neuroimaging research through review articles, meta-analyses, and our textbook Functional Magnetic Resonance Imaging (3nd edition published in 2014).

Economic Decision Making

To understand how people make decisions, our laboratory adopts many of the practices of behavioral economics (e.g, incentive-compatible choices, full information). This provides an important advantage for cognitive neuroscience research: it allows us to specify the factors underlying choice, both within and across individuals, with great precision. Moreover, many (but not all!) import real-world choices can be described using economic terms: cost-benefit tradeoffs, utility functions, risk and ambiguity, and temporal delay. Our core goal is to use knowledge of the functional properties of the brain to develop better understanding of economic phenomena. In essence, we seek models of brain function that provide new insights for models of behavior.

We explore these and other aspects of decision making using functional magnetic resonance imaging, eye-tracking, measures of behavior, and computational modeling. We collaborate with other laboratories at Duke, at Duke-NUS Medical School, and at other institutions to extend this work via different techniques (e.g., EEG, TMS) and new populations (e.g., sleep deprivation, younger children and older adults, addiction).

Social Decision Making

Many decisions lead to consequences for others. Our laboratory explores several sorts of social decisions: those that involve personal sacrifice for another’s benefit (e.g., choices in a competitive game). We adopt the working hypothesis that, throughout evolutionary time, many of the most critical decisions were social, not economic. Thus, neural systems for the adaptive control of behavior often acted to achieve social goals, in concert with systems for understanding the cognitions and desires of others. We believe that this is an important and understudied area of research — one that will merge with neuroeconomics over the coming years.

Executive Control

We also conduct traditional cognitive neuroscience research on the executive control of behavior,  with an emphasis on the prefrontal cortex (PFC). These studies use tasks derived from cognitive psychology -- often involving response selection, behavioral conflict, or memory -- and seek to elucidate the functional properties of specific regions within PFC by converging evidence across multiple studies. This work often connects to our lab's interest in neuroeconomics. For example, we have used sets of different decision making tasks to map out a functional topography within medial prefrontal cortex. We have also investigated parallels between executive control processes (e.g., emotion regulation) and decision making processes (e.g., valuation). In recent years, we have explored techniques of meta-analysis that provide insight about large-scale regularities in the cognitive neuroscience literature.

Lab Members

Postdoc - University of Amsterdam (Microeconomics)
Lab Manager/Research Associate
Research Associate
Postdoctoral Fellow
Research Associate

Contact/Join Huettel Lab

open door

The Huettel Lab is a diverse group of people, and we’re always looking to expand! Whether you’re an undergraduate at Duke that’s just interested in neuroscience, or you’re a prospective graduate student looking to be part of our lab for the next few years, it never hurts to send us an email and find out more about us.