ArticleObesity science & practice2020
Modeling interactions between brain function, diet adherence behaviors, and weight loss success.
Article in Obesity science & practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Neuroscience meets behavior: A systematic literature review on magnetic resonance imaging of the brain combined with real-world digital phenotyping.Human brain mapping · 2024Pooled it
- Neuroimaging Investigations of Obesity: a Review of the Treatment of Sex from 2010.Current obesity reports · 2023Pooled it
- An implicit priming intervention alters brain and behavioral responses to high-calorie foods: a randomized controlled study.The American journal of clinical nutrition · 2022Trial
- Harnessing food cue evoked neuroimaging towards treatment optimisation for obesity and binge eating disorder.Reviews in endocrine & metabolic disorders · 2026Review
- Body weight-related alterations in white matter functional connectivity in children: An fMRI study.BMC neurology · 2026Article
- The development and testing of the TTU food cue reactivity image bank.International journal of obesity (2005) · 2025Article
- Obesity-related alterations of intrinsic functional architecture: a resting-state fMRI study based on the human connectome project.Frontiers in nutrition · 2025Article
- Pre-post intervention exploring cognitive function and relationships with weight loss, intervention adherence and dropout.Health psychology and behavioral medicine · 2023Article
- Potential biomarker of brain response to opioid antagonism in adolescents with eating disorders: a pilot study.Frontiers in psychiatry · 2023Article
- Intermittent energy restriction changes the regional homogeneity of the obese human brain.Frontiers in neuroscience · 2023Article
- Computational approaches to predicting treatment response to obesity using neuroimaging.Reviews in endocrine & metabolic disorders · 2022Review
- Genetic variation in satiety signaling and hypothalamic inflammation: merging fields for the study of obesity.The Journal of nutritional biochemistry · 2022Review
- The effects of Transcranial Direct Current Stimulation on food craving and food intake in individuals affected by obesity and overweight: a mini review of the magnitude of the effects.AIMS neuroscience · 2022Review
- An Exploration of the Role of Sugar-Sweetened Beverage in Promoting Obesity and Health Disparities.Current obesity reports · 2021Review
- Effects of Transcranial Direct Current Stimulation (tDCS) on Go/NoGo Performance Using Food and Non-Food Stimuli in Patients with Prader-Willi Syndrome.Brain sciences · 2021Article
- Modeling interactions between brain function, diet adherence behaviors, and weight loss success.Obesity science & practice · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
introductionObesity is linked to altered activation in reward and control brain circuitry; however, the associated brain activity related to successful or unsuccessful weight loss (WL) is unclear.
methodsAdults with obesity (N = 75) completed a baseline functional magnetic resonance imaging (fMRI) scan before entering a WL intervention (ie,3-month diet and physical activity [PA] program). We conducted an exploratory analysis to identify the contributions of baseline brain activation, adherence behavior patterns, and the associated connections to WL at the conclusion of a 3-month WL intervention. Food cue-reactivity brain regions were functionally identified using fMRI to index brain activation to food vs nonfood cues. Food consumption, PA, and class attendance were collected weekly during the 3-month intervention.
resultsThe left middle frontal gyrus (L-MFG, BA 46) and right middle frontal gyrus (R-MFG; BA 9) were positively activated when viewing food compared with nonfood images. Structural equation modeling with bootstrapping was used to investigate a hypothesized path model and revealed the following significant paths: (1) attendance to 3-month WL, (2) R-MFG to attendance, and (3) indirect effects of R-MFG through attendance on WL.
conclusionFindings suggest that brain activation to appetitive food cues predicts future WL through mediating session attendance, diet, and PA. This study contributes to the growing evidence of the importance of food cue reactivity and self-regulation brain regions and their impact on WL outcomes.
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