A preferential role for ventromedial prefrontal cortex in assessing “the value of the whole” in multi-attribute object evaluation

Pelletier, Gabriel; Aridan, Nadav; Fellows, Lesley K.; Schönberg, Tom

doi:10.1101/2020.09.29.319293

Cited by 2 publications

(3 citation statements)

References 86 publications

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“…If value is reflected in signals carried at different stages of the VVS, could it be that value construction for multi-attribute options is at least partially occurring within the VVS? We provided some evidence that this might be the case; in the PRC, the region within the VVS with the most complex configural representations, fMRI activation tracked the value of objects more in a configural compared to an elemental value construction condition (Pelletier et al, 2020). This modulatory effect of value construction condition on value representations in the PRC suggests an involvement of the VVS in value construction, which requires interactions with the OFC/vmPFC when value is inferred from the configural association between attributes.…”

Section: The Contribution Of Ofc/vmpfc To Multi-attribute Value Const...mentioning

confidence: 90%

“…A follow-up fMRI investigation using the same stimuli and conditions in healthy participants found that hemodynamic signal in medial OFC tracked the value of whole objects in the configural condition but was not consistent with a role for this region in elemental value integration (Pelletier et al, 2020). These complementary studies converge to support the claim that the neural substrates of multi-attribute object evaluation are at least partially distinct under these two conditions, with OFC/vmPFC specifically engaged in the configural condition.…”

Section: The Contribution Of Ofc/vmpfc To Multi-attribute Value Const...mentioning

confidence: 99%

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Viewing orbitofrontal cortex contributions to decision-making through the lens of object recognition.

Pelletier¹,

Fellows²

2021

Behavioral Neuroscience

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Decision neuroscience research has consistently implicated orbitofrontal and adjacent ventromedial prefrontal cortex in value-based decision-making. These areas are thought to reflect subjective value, a generic indicator of the personal motivational relevance of different options that allows them to be compared on a common scale. There are a number of unanswered questions arising from this model. We review findings from studies in patients with focal damage to the ventral frontal lobe that led us to reconsider how decision options are evaluated, applying perspectives from research on object recognition in the ventral visual stream. While decision-making is often approached from an abstract economic perspective in the lab, most of our everyday decisions, whether about food, goods, or people, are between directly perceived complex objects made up of multiple value-predictive attributes. It is not clear how multiple attributes are integrated to produce a global value estimate. We know the objects themselves are represented in the ventral visual stream at different levels of complexity, ranging from individual features to unique combinations of such features, but what about the values of those objects? Here, we suggest distinctions between configural and elemental evaluation echoing distinctions in visual processing. We discuss evidence that orbitofrontal-ventromedial prefrontal cortex is not required for all value-based decisions, but rather is specifically critical for recognizing value when it is predicted by configural relationships between attributes. We also consider how this perspective connects with emerging views of orbitofrontal cortex as an abstract cognitive map, and the debate on whether subjective value is a neurobiologically meaningful construct.

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Section: The Contribution Of Ofc/vmpfc To Multi-attribute Value Const...mentioning

confidence: 90%

Section: The Contribution Of Ofc/vmpfc To Multi-attribute Value Const...mentioning

confidence: 99%

Viewing orbitofrontal cortex contributions to decision-making through the lens of object recognition.

Pelletier¹,

Fellows²

2021

Behavioral Neuroscience

Self Cite

View full text Add to dashboard Cite

show abstract

“…, 2017 ; de Berker et al. , 2019 ; Pelletier et al. , 2021 ), this approach combines two methodological advantages:…”

Section: Introductionmentioning

confidence: 99%

Dynamic computation of value signals via a common neural network in multi-attribute decision-making

Magrabi

Ludwig

Stoppel

et al. 2021

Social Cognitive and Affective Neuroscience

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Studies in decision neuroscience have identified robust neural representations for the value of choice options. However, overall values often depend on multiple attributes, and it is not well understood how the brain evaluates different attributes and integrates them to combined values. In particular, it is not clear whether attribute values are computed in distinct attribute-specific regions or within the general valuation network known to process overall values. Here, we used an fMRI choice task in which abstract stimuli had to be evaluated based on variations of the attributes color and motion. The behavioral data showed that participants responded faster when overall values were high and attribute value differences were low. On the neural level, we did not find that attribute values were systematically represented in areas V4 and V5, even though these regions are associated with attribute-specific processing of color and motion, respectively. Instead, attribute values were associated with activity in the posterior cingulate cortex, ventral striatum, and posterior inferior temporal gyrus. Further, overall values were represented in dorsolateral and ventromedial prefrontal cortex, and attribute value differences in dorsomedial prefrontal cortex, which suggests that these regions play a key role for the neural integration of attribute values.

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A preferential role for ventromedial prefrontal cortex in assessing “the value of the whole” in multi-attribute object evaluation

Cited by 2 publications

References 86 publications

Viewing orbitofrontal cortex contributions to decision-making through the lens of object recognition.

Viewing orbitofrontal cortex contributions to decision-making through the lens of object recognition.

Dynamic computation of value signals via a common neural network in multi-attribute decision-making

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