Dissociating the Role of the Orbitofrontal Cortex and the Striatum in the Computation of Goal Values and Prediction Errors

By Todd A. Hare, John P. O'Doherty, Colin F. Camerer, Wolfram Schultz, Antonio Rangel. Journal of Neuroscience, 2008

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Citations in the corpus

Social and monetary reward learning engage overlapping neural substrates. (2012, background): “…and medial sectors of the prefrontal cortex (vmPFC) in several human fMRI (Kable and Glimcher, 2007; Plassmann et al., 2007; Tom et al., 2007; Hare et al., 2008, 2009; Chib et al., 2009; FitzGerald et al., 2009; Litt et al., 2009; Levy et al., 2010; Plassmann et al., 2010) and non-human…”
The orbitofrontal cortex and beyond: from affect to decision-making. (2008, background): “Consistent with this, activations in parts of the human ventral striatum are related to positive reward prediction error (Hare et al., 2008; Rolls et al., 2008e).”
Evidence for a Common Representation of Decision Values for Dissimilar Goods in Human Ventromedial Prefrontal Cortex (2009, background): “…have previously been reported to contain a representation of DV for food rewards in both human and animal studies (Padoa-Schioppa and Assad, 2006; Plassmann et al., 2007; Hare et al., 2008), as well as for monetary gambles and delayed monetary payoffs (Kable and Glimcher, 2007; Tom et al., 2007).”
Human Reinforcement Learning Subdivides Structured Action Spaces by Learning Effector-Specific Values (2009, methodology): “On the basis of previous studies (Platt and Glimcher, 1999; Pagnoni et al., 2002; O’Doherty et al., 2003; Sugrue et al., 2004; Daw et al., 2006a; Delgado, 2007; Schönberg et al., 2007; Hare et al., 2008; Gläscher et al., 2009; Seo and Lee, 2009), we focused on three regions that have been repeatedly”
fMRI Reactivity to High-Calorie Food Pictures Predicts Short- and Long-Term Outcome in a Weight-Loss Program (2012, result): “For example, activity in IFG has been reported to positively correlate with participants’ valuation of food items during a decision task (Plassman et al., 2007; Hare et al., 2008).”
Neuromarketing: the hope and hype of neuroimaging in business (2010, background): “However, such similarities do not necessarily mean that brain activation is the same across different elicitation methods, and there are differences between the neural activation representing decision utility and that representing experienced utilit”
Neural computations associated with goal-directed choice. (2010, methodology): “How are stimulus values encoded? Several human fMRI studies have placed individuals in simple choice situations and have found that BOLD activity in the medial orbitofrontal cortex (mOFC) correlates with behavioral measures of stimulus values [11,12,13 ].”
How green is the grass on the other side? Frontopolar cortex and the evidence in favor of alternative courses of action. (2009, neutral): “Another distinct possibility is that chosen and unchosen action and offer value signals are integrated in the vmPFC, a region anatomically positioned to send and receive information to and from the striatum and the OFC (Carmichael and Price, 1996; Ferry et al., 2000; Haber, 2003; Parent, 1986).”
Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms (2015, background): “As expected (McClure et al., 2003; O’Doherty et al., 2003, 2004; Hare et al., 2008; Diuk et al., 2010; Niv et al., 2012), a regressor for prediction errors correlated with BOLD signals in the striatum, specifically bilateral ventral striatum (nucleus accumbens) and right dorsal putamen (Fig.”
How Prediction Errors Shape Perception, Attention, and Motivation (2012, background): “…for a wide range of stimuli including attractive faces, money, and food (e.g., Pagnoni et al., 2002; McClure et al., 2003; O’Doherty et al., 2003; Abler et al., 2006; Rodriguez et al., 2006; Bray and O’Doherty, 2007; Seymour et al., 2007; Yacubian et al., 2007; Hare et al., 2008; Niv et al., 2012).”