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Pre-choice Midbrain Fluctuations Affect Self-control in Food Choice: A Functional Magnetic Resonance Imaging (fMRI) Study

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Publisher Springer
Date 2024 Oct 8
PMID 39379768
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Abstract

Recent studies have shown that spontaneous pre-stimulus fluctuations in brain activity affect higher-order cognitive processes, including risky decision-making, cognitive flexibility, and aesthetic judgments. However, there is currently no direct evidence to suggest that pre-choice activity influences value-based decisions that require self-control. We examined the impact of fluctuations in pre-choice activity in key regions of the reward system on self-control in food choice. In the functional magnetic resonance imaging (fMRI) scanner, 49 participants made 120 food choices that required self-control in high and low working memory load conditions. The task was designed to ensure that participants were cognitively engaged and not thinking about upcoming choices. We defined self-control success as choosing a food item that was healthier over one that was tastier. The brain regions of interest (ROIs) were the ventral tegmental area (VTA), putamen, nucleus accumbens (NAc), and caudate nucleus. For each participant and condition, we calculated the mean activity in the 3-s interval preceding the presentation of food stimuli in successful and failed self-control trials. These activities were then used as predictors of self-control success in a fixed-effects logistic regression model. The results indicate that increased pre-choice VTA activity was linked to a higher probability of self-control success in a subsequent food-choice task within the low-load condition, but not in the high-load condition. We posit that pre-choice fluctuations in VTA activity change the reference point for immediate (taste) reward evaluation, which may explain our finding. This suggests that the neural context of decisions may be a key factor influencing human behavior.

References
1.
Andersson J, Skare S, Ashburner J . How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage. 2003; 20(2):870-88. DOI: 10.1016/S1053-8119(03)00336-7. View

2.
Basar K, Sesia T, Groenewegen H, Steinbusch H, Visser-Vandewalle V, Temel Y . Nucleus accumbens and impulsivity. Prog Neurobiol. 2010; 92(4):533-57. DOI: 10.1016/j.pneurobio.2010.08.007. View

3.
Bartra O, McGuire J, Kable J . The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. Neuroimage. 2013; 76:412-27. PMC: 3756836. DOI: 10.1016/j.neuroimage.2013.02.063. View

4.
Benningfield M, Blackford J, Ellsworth M, Samanez-Larkin G, Martin P, Cowan R . Caudate responses to reward anticipation associated with delay discounting behavior in healthy youth. Dev Cogn Neurosci. 2013; 7:43-52. PMC: 3932556. DOI: 10.1016/j.dcn.2013.10.009. View

5.
Berridge K, Kringelbach M . Pleasure systems in the brain. Neuron. 2015; 86(3):646-64. PMC: 4425246. DOI: 10.1016/j.neuron.2015.02.018. View