Decisions are made based on the subjective value that the brain assigns to options. However, subjective value is a mathematical construct that cannot be measured directly, but rather is inferred from choices. Recent results have demonstrated that reaction time, amplitude, and velocity of movements are modulated by reward, raising the possibility that there is a link between how the brain evaluates an option and how it controls movements toward that option. Here, we asked people to choose among risky options represented by abstract stimuli, some associated with gain (points in a game), and others with loss. From their choices we estimated the subjective value that they assigned to each stimulus. In probe trials, a single stimulus appeared at center, instructing subjects to make a saccade to a peripheral target. We found that the reaction time, peak velocity, and amplitude of the peripherally directed saccade varied roughly linearly with the subjective value that the participant had assigned to the central stimulus: reaction time was shorter, velocity was higher, and amplitude was larger for stimuli that the participant valued more. Naturally, participants differed in how much they valued a given stimulus. Remarkably, those who valued a stimulus more, as evidenced by their choices in decision trials, tended to move with shorter reaction time and greater velocity in response to that stimulus in probe trials. Overall, the reaction time of the saccade in response to a stimulus partly predicted the subjective value that the brain assigned to that stimulus. Behavioral economics relies on subjective evaluation, an abstract quantity that cannot be measured directly but must be inferred by fitting decision models to the choice patterns. Here, we present a new approach to estimate subjective value: with nothing to fit, we show that it is possible to estimate subjective value based on movement kinematics, providing a modest ability to predict a participant's preferences without prior measurement of their choice patterns.
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http://dx.doi.org/10.1152/jn.00700.2019 | DOI Listing |
Influenza Other Respir Viruses
January 2025
Department of Pediatrics, Fukushima Medical University, Fukushima, Japan.
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Anal Chim Acta
February 2025
Department of Pharmacy, College of Pharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan. Electronic address:
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View Article and Find Full Text PDFAnal Chim Acta
February 2025
Food Laboratory of Zhongyuan, Luohe, 462000, Henan Province, PR China.
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View Article and Find Full Text PDFAnal Chim Acta
February 2025
Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura, 35516, Egypt. Electronic address:
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View Article and Find Full Text PDFJ Infect Chemother
January 2025
Department of Clinical Laboratory, Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, People's Republic of China. Electronic address:
Background: The precise identification of pathogens responsible for community-acquired pneumonia (CAP) in children is essential for effective treatment. However, the performance of targeted next-generation sequencing (tNGS) in the detection of pathogens associated with CAP in children remains unclear.
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