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- W2793977345 endingPage "220" @default.
- W2793977345 startingPage "208" @default.
- W2793977345 abstract "Recently, there has been an increase in the number of human neuroimaging studies seeking to predict behavior above and beyond traditional measurements such as self-report. This trend has been particularly notable in the area of food consumption, as the percentage of people categorized as overweight or obese continues to rise. In this review, we argue that there is considerable utility in this form of health neuroscience, modeling the neural bases of eating behavior and dietary change in healthy community populations. Further, we propose a model and accompanying evidence indicating that several basic processes underlying eating behavior, particularly reactivity, regulation, and valuation, can be predictive of behavior change. We also discuss future directions for this work." @default.
- W2793977345 created "2018-03-29" @default.
- W2793977345 creator A5022281114 @default.
- W2793977345 creator A5027017603 @default.
- W2793977345 creator A5043438702 @default.
- W2793977345 creator A5059368091 @default.
- W2793977345 date "2018-03-15" @default.
- W2793977345 modified "2023-10-12" @default.
- W2793977345 title "Neural predictors of eating behavior and dietary change" @default.
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