An automatic valuation system in the human brain: evidence from functional neuroimaging.
Maël Lebreton,Maël Lebreton,Soledad Jorge,Soledad Jorge,Vincent Michel,Bertrand Thirion,Mathias Pessiglione,Mathias Pessiglione +7 more
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TLDR
It is verified that brain regions encoding preferences can valuate various categories of objects and further test whether they still express preferences when attention is diverted to another task.About:
This article is published in Neuron.The article was published on 2009-11-12 and is currently open access. It has received 393 citations till now. The article focuses on the topics: Functional neuroimaging.read more
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Neural signatures of social conformity: A coordinate-based activation likelihood estimation meta-analysis of functional brain imaging studies
Haiyan Wu,Yi Luo,Chunliang Feng +2 more
TL;DR: A coordinate-based meta-analysis on neuroimaging studies of social conformity revealed a convergence of reported activation foci in regions associated with normative decision-making, including ventral striatum (VS), dorsal posterior medial frontal cortex (dorsal pMFC), and anterior insula (AI).
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Neural Mechanisms of Reading Facial Emotions in Young and Older Adults
TL;DR: Greater vmPFC activity in the present study may reflect greater affective processing involved in reading happy compared to neutral or angry faces, and greater dmP FC activity may reflect more cognitive control involved in decoding and/or regulating negative emotions associated with neutral or happy than happy, and older than young, faces.
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Self-Control as Value-Based Choice
TL;DR: In this paper, the authors propose a simple valuation process, where self-control is implemented by a simple value-based choice process, which is the process of accumulating varied sources of subjective value for each choice option, then comparing the values to select an action.
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The multifaceted abstract brain.
TL;DR: It is suggested that different types of abstract concepts can be represented and grounded through differing contributions from event-based, interoceptive, introspective and sensory-motor representations, and argued against single-mechanism accounts for representation.
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Neural Activity Reveals Preferences Without Choices.
TL;DR: The authors investigate the feasibility of inferring the choices people would make (if given the opportunity) based on their neural responses to the pertinent prospects when they are not engaged in actual decision making, and formulate prediction models relating choices to "nonchoice" neural responses, and use them to predict out-of-sample choices for new items and for new groups of individuals.
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