ArticleBrain communications2021
Resting-state connectivity within the brain's reward system predicts weight loss and correlates with leptin.
Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 22 citations in OpenAlex.
- The neural pathways of change: an fMRI study of the effects of behavioral change suggestions on value-based dietary decision-making.International journal of obesity (2005) · 2026Observational
- Body weight-related alterations in white matter functional connectivity in children: An fMRI study.BMC neurology · 2026Article
- Body mass index-dependent shifts along large-scale gradients in human cortical organization explain dietary regulatory success.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Novel Insights into the Physiology of Nutrient Sensing and Gut-Brain Communication in Surgical and Experimental Obesity Therapy.Obesity surgery · 2023Review
- An fMRI-Based Brain Marker of Individual Differences in Delay Discounting.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Associations of leptin and corticostriatal connectivity in bipolar disorder.Scientific reports · 2022Article
- Computational approaches to predicting treatment response to obesity using neuroimaging.Reviews in endocrine & metabolic disorders · 2022Review
- Impact of Nutrition, Microbiota Transplant and Weight Loss Surgery on Dopaminergic Alterations in Parkinson's Disease and Obesity.International journal of molecular sciences · 2022Review
- Effects of bariatric surgery on functional connectivity of the reward and default mode network: A pre-registered analysis.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Weight gain is often associated with the pleasure of eating food rich in calories. This idea is based on the findings that people with obesity showed increased neural activity in the reward and motivation systems of the brain in response to food cues. Such correlations, however, overlook the possibility that obesity may be associated with a metabolic state that impacts the functioning of reward and motivation systems, which in turn could be linked to reactivity to food and eating behaviour and weight gain. In a study involving 44 female participants [14 patients with obesity, aged 20-63 years (mean: 42, SEM: 3.2 years), and 30 matched lean controls, aged 22-60 years (mean: 37, SEM: 1.8 years)], we investigated how ventromedial prefrontal cortex seed-to-voxel resting-state connectivity distinguished between lean and obese participants at baseline. We used the results of this first step of our analyses to examine whether changes in ventromedial prefrontal cortex resting-state connectivity over 8 months could formally predict weight gain or loss. It is important to note that participants with obesity underwent bariatric surgery at the beginning of our investigation period. We found that ventromedial prefrontal cortex-ventral striatum resting-state connectivity and ventromedial-dorsolateral prefrontal cortex resting-state connectivity were sensitive to obesity at baseline. However, only the ventromedial prefrontal cortex-ventral striatum resting-state connectivity predicted weight changes over time using cross-validation, out-of-sample prediction analysis. Such an out-of-sample prediction analysis uses the data of all participants of a training set to predict the actually observed data in one independent participant in the hold-out validation sample and is then repeated for all participants. In seeking to explain the reason why ventromedial pre-frontal cortex-ventral striatum resting-state connectivity as the central hub of the brain's reward and motivational system may predict weight change over time, we linked weight loss surgery-induced changes in ventromedial prefrontal cortex-ventral striatum resting-state connectivity to surgery-induced changes in homeostatic hormone regulation. More specifically, we focussed on changes in fasting state systemic leptin, a homeostatic hormone signalling satiety, and inhibiting reward-related dopamine signalling. We found that the surgery-induced increase in ventromedial prefrontal cortex-ventral striatum resting-state connectivity was correlated with a decrease in fasting-state systemic leptin. These findings establish the first link between individual differences in brain connectivity in reward circuits in a more tonic state at rest, weight change over time and homeostatic hormone regulation.
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