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Resting-state connectivity within the brain's reward system predicts weight loss and correlates with leptin.
Schmidt, Liane; Medawar, Evelyn; Aron-Wisnewsky, Judith; Genser, Laurent; Poitou, Christine; Clément, Karine; Plassmann, Hilke.
Afiliación
  • Schmidt L; Control-Interoception-Attention Team, Institut du Cerveau et de la Moelle épinière (ICM), Inserm UMR 1127, CNRS UMR 7225, Sorbonne Université, 75013 Paris, France.
  • Medawar E; Laboratoire de Neuroscience Cognitive, Ecole Normale Supérieure, Inserm U960, 75005 Paris, France.
  • Aron-Wisnewsky J; Sorbonne Université, Inserm, UMRS Nutrition et Obésités; Systemic Approaches (NutriOmics), 75013 Paris, France.
  • Genser L; Nutrition Department, CRNH Ile de France, Pitié-Salpêtrière Hospital, Assistance Publique Hôpitaux de Paris, 75013 Paris, France.
  • Poitou C; Visceral Surgery Department, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, 75013 Paris, France.
  • Clément K; Sorbonne Université, Inserm, UMRS Nutrition et Obésités; Systemic Approaches (NutriOmics), 75013 Paris, France.
  • Plassmann H; Sorbonne Université, Inserm, UMRS Nutrition et Obésités; Systemic Approaches (NutriOmics), 75013 Paris, France.
Brain Commun ; 3(1): fcab005, 2021.
Article en En | MEDLINE | ID: mdl-33615220
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Commun Año: 2021 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Commun Año: 2021 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido