The prediction of market-level food choices by the neural valuation signal

Neuroimaging studies have demonstrated the ability to use the brain activity of a group of individuals to forecast the behavior of an independent group. In the current study, we attempted to forecast aggregate choices in a popular restaurant chain. During our functional magnetic resonance imaging (f...

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Veröffentlicht in:	PloS one Jg. 18; H. 6; S. e0286648
Hauptverfasser:	Kislov, Andrew, Shestakova, Anna, Ushakov, Vadim, Martinez-Saito, Mario, Beliaeva, Valeria, Savelo, Olga, Vasilchuk, Aleksey, Klucharev, Vasily
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 02.06.2023 Public Library of Science (PLoS)
Schlagworte:	Analysis Behavior Biology and Life Sciences Brain Brain - diagnostic imaging Brain mapping Brain research Chain restaurants Consumer behavior Diagnostic imaging Evaluation Food Food habits Food Preferences Functional magnetic resonance imaging Human subjects Humans Image processing Magnetic resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Medicine and Health Sciences Meta-analysis Neostriatum Neuroimaging Physical Sciences Popularity Regression analysis Research and Analysis Methods Restaurants Reward Sales Social networks Social Sciences Success Valuation Russia
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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