Multiple Neural Mechanisms of Decision Making and Their Competition under Changing Risk Pressure

Kolling, Nils; Wittmann, Marco K.; Rushworth, Matthew F. S.

doi:10.1016/j.neuron.2014.01.033

Cited by 160 publications

(213 citation statements)

References 54 publications

(85 reference statements)

Supporting

Mentioning

189

Contrasting

Order By: Relevance

“…A similar region was active when people imagined how much they would like new and unexperienced food items that were nevertheless composed of familiar components (30). The resting fMRI coupling pattern associated with this region resembled that associated with the two perigenual regions reported by Kable and Glimcher (27) and Kolling et al (10,37) (Fig. 2E); however, the comparative weakness of coupling with the amygdala and temporal cortex areas meant that it most closely resembled a swathe of tissue in the macaque that extended from the anterior cingulate sulcus through area 9 on the dorsal convexity to the principal sulcus.…”

Section: Resultssupporting

confidence: 67%

“…10, and in the supplementary information in ref. 37), and found that it was associated with a similar pattern of coupling (SI Appendix, Fig. S1A), although now there was less coupling with medial temporal regions, such as the amygdala and with dorsal and ventrolateral PFC and more coupling with premotor areas, such as the SMA.…”

Section: Resultsmentioning

confidence: 83%

“…3C) near regions implicated in cost-benefit integration in humans (27) (Fig. 2C), especially the more dorsal ones studied by Kolling et al (10,37) (SI Appendix, Fig. S1A).…”

Section: Resultsmentioning

confidence: 85%

“…Moreover, the FPl has been proposed to track values of alternative choices (21,37) and stores information about alternative strategies or task sets when they should not be used at the moment but might be returned to later (86,87). In short, this region shows activity correlated with the number of alternative options, strategies, and task sets, or the amount of evidence that alternative options might be worth pursuing.…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Connectivity reveals relationship of brain areas for reward-guided learning and decision making in human and monkey frontal cortex

Neubert

Mars

Sallet

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

350

388

View full text Add to dashboard Cite

Reward-guided decision-making depends on a network of brain regions. Among these are the orbitofrontal and the anterior cingulate cortex. However, it is difficult to ascertain if these areas constitute anatomical and functional unities, and how these areas correspond between monkeys and humans. To address these questions we looked at connectivity profiles of these areas using resting-state functional MRI in 38 humans and 25 macaque monkeys. We sought brain regions in the macaque that resembled 10 human areas identified with decision making and brain regions in the human that resembled six macaque areas identified with decision making. We also used diffusion-weighted MRI to delineate key human orbital and medial frontal brain regions. We identified 21 different regions, many of which could be linked to particular aspects of reward-guided learning, valuation, and decision making, and in many cases we identified areas in the macaque with similar coupling profiles.orbitofrontal cortex | anterior cingulate cortex | decision making | resting state functional connectivity | comparative anatomy A s humans we make decisions by taking into account different types of information, weighing our options carefully, and eventually coming to a conclusion. We then learn from witnessing the outcome of our decisions. Human functional MRI (fMRI) has had a major impact on elucidating the neural networks mediating decision making and learning, but key insights can only be obtained in neural recording, stimulation, and focal lesion studies conducted in animal models, such as the macaque. Combining insights from human fMRI and animal studies is, however, not straightforward because there is uncertainty about basic issues, such as anatomical and functional correspondences between species (1). For example, although there are many reports of decision value-related activity in the human ventromedial prefrontal cortex (vmPFC) (2, 3), it is unclear whether they can be related to reports of reward-related activity either on the ventromedial surface of the frontal lobe (4, 5), in the adjacent medial orbitofrontal sulcus (6), or indeed to any macaque brain area. It is claimed that some areas implicated in rewardguided decision making and learning, such as parts of anterior cingulate cortex (ACC), are not found in macaques (7), but such theories have never been formally tested.In addition, there is uncertainty about the basic constituent components of decision-making and learning circuits. To return to the example of the vmPFC, although this region is often contrasted with similarly large subdivisions of the frontal cortex, such as the lateral orbitofrontal cortex (lOFC) and ACC (8), it is unclear whether, and if so how, it should be decomposed into further subdivisions. Moreover, there are sometimes fundamental disagreements about how brain areas contribute to decision making and learning. For example, it has been claimed both that the ACC does (9-11) and does not (12) contribute to reward-based decision making and that it is concerned with dist...

show abstract

Section: Resultssupporting

confidence: 67%

Section: Resultsmentioning

confidence: 83%

“…3C) near regions implicated in cost-benefit integration in humans (27) (Fig. 2C), especially the more dorsal ones studied by Kolling et al (10,37) (SI Appendix, Fig. S1A).…”

Section: Resultsmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Connectivity reveals relationship of brain areas for reward-guided learning and decision making in human and monkey frontal cortex

Neubert

Mars

Sallet

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

350

388

View full text Add to dashboard Cite

show abstract

“…different brain regions having been evolved to drive decision making in these two choice settings (see also Boorman, Rushworth, & Behrens, 2013;Kolling et al, 2014). Specifically, these authors suggest that dorsal anterior cingulate cortex (dACC) and ventromedial prefrontal cortex (vmPFC) may have evolved to play critical and differential roles in foraging versus economic choice, respectively.…”

mentioning

confidence: 99%

Dorsal anterior cingulate and ventromedial prefrontal cortex have inverse roles in both foraging and economic choice

Shenhav

Straccia

Botvinick

et al. 2016

Cogn Affect Behav Neurosci

View full text Add to dashboard Cite

Recent research has highlighted a distinction between sequential foraging choices and traditional economic choices between simultaneously presented options. This was partly motivated by observations in Kolling, Behrens, Mars, and Rushworth, Science, 336(6077), 95-98 (2012) (hereafter, KBMR) that these choice types are subserved by different circuits, with dorsal anterior cingulate (dACC) preferentially involved in foraging and ventromedial prefrontal cortex (vmPFC) preferentially involved in economic choice. To support this account, KBMR used fMRI to scan human subjects making either a foraging choice (between exploiting a current offer or swapping for potentially better rewards) or an economic choice (between two reward-probability pairs). This study found that dACC better tracked values pertaining to foraging, whereas vmPFC better tracked values pertaining to economic choice. We recently showed that dACC's role in these foraging choices is better described by the difficulty of choosing than by foraging value, when correcting for choice biases and testing a sufficiently broad set of foraging values (Shenhav, Straccia, Cohen, & Botvinick Nature Neuroscience, 17(9), 1249-1254. Here, we extend these findings in 3 ways. First, we replicate our original finding with a larger sample and a task modified to address remaining methodological gaps between our previous experiments and that of KBMR. Second, we show that dACC activity is best accounted for by choice difficulty alone (rather than in combination with foraging value) during both foraging and economic choices. Third, we show that patterns of vmPFC activity, inverted relative to dACC, also suggest a common function across both choice types. Overall, we conclude that both regions are similarly engaged by foraging-like and economic choice.

show abstract

Neuroscience of Value‐Guided Choice

Jocham

Boorman

Behrens

2016

The Wiley Handbook on the Cognitive Neuroscience of Learning

View full text Add to dashboard Cite

Multiple Neural Mechanisms of Decision Making and Their Competition under Changing Risk Pressure

Cited by 160 publications

References 54 publications

Connectivity reveals relationship of brain areas for reward-guided learning and decision making in human and monkey frontal cortex

Connectivity reveals relationship of brain areas for reward-guided learning and decision making in human and monkey frontal cortex

Dorsal anterior cingulate and ventromedial prefrontal cortex have inverse roles in both foraging and economic choice

Neuroscience of Value‐Guided Choice

Contact Info

Product

Resources

About