Resolving response, decision, and strategic control: evidence for a functional topography in dorsomedial prefrontal cortex.

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2009-10-21

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Abstract

The dorsomedial prefrontal cortex (DMPFC) plays a central role in aspects of cognitive control and decision making. Here, we provide evidence for an anterior-to-posterior topography within the DMPFC using tasks that evoke three distinct forms of control demands--response, decision, and strategic--each of which could be mapped onto independent behavioral data. Specifically, we identify three spatially distinct regions within the DMPFC: a posterior region associated with control demands evoked by multiple incompatible responses, a middle region associated with control demands evoked by the relative desirability of decision options, and an anterior region that predicts control demands related to deviations from an individual's preferred decision-making strategy. These results provide new insight into the functional organization of DMPFC and suggest how recent controversies about its role in complex decision making and response mapping can be reconciled.

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10.1523/JNEUROSCI.2708-09.2009

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Venkatraman, Vinod, Alexandra G Rosati, Adrienne A Taren and Scott A Huettel (2009). Resolving response, decision, and strategic control: evidence for a functional topography in dorsomedial prefrontal cortex. J Neurosci, 29(42). pp. 13158–13164. 10.1523/JNEUROSCI.2708-09.2009 Retrieved from https://hdl.handle.net/10161/6928.

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Huettel

Scott Huettel

Professor in the Department of Psychology and Neuroscience

Research in my laboratory investigates the brain mechanisms underlying economic and social decision making; collectively, this research falls into the field of “decision neuroscience” or "neuroeconomics". My laboratory uses fMRI to probe brain function, behavioral assays to characterize individual differences, and other physiological methods (e.g., eye tracking, pharmacological manipulation, genetics) to link brain and behavior. Concurrent with research on basic processes, my laboratory has also investigated the application of new analysis methods for fMRI data, including functional connectivity analyses, pattern classification analyses, and combinatoric multivariate approaches. We have also been applying computational methods to problems in behavioral economics and consumer decision making.  

I have also been very active in outreach, mentorship, and educational activities; as examples, I am lead author on the textbook Functional Magnetic Resonance Imaging (Sinauer Associates; 3rd edition in 2014), I teach Fundamentals of Decision Science, Decision Neuroscience and Neuroethics, and many of my postdoctoral and graduate trainees now lead research laboratories of their own.


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