Obesity is generally associated with weakened connectivity in the executive control network and enhanced connectivity in the salience and default mode networks.
This review highlights that obesity and disordered eating are associated with specific disruptions in functional brain networks, particularly the ECN, SN, and DMN.
Obesity is a major public health issue affecting nearly 40% of American adults and is associated with increased mortality and elevated risk for a number of physical and psychological illnesses. Obesity is associated with impairments in executive functions such as decision making and inhibitory control, as well as in reward valuation, which is thought to contribute to difficulty sustaining healthy lifestyle behaviors, including adhering to a healthy diet. Growing evidence indicates that these impairments are accompanied by disruptions in functional brain networks, particularly those that support self-regulation, reward valuation, self-directed thinking and homeostatic control. Weight-related differences in task-evoked and resting-state connectivity have most frequently been noted in the executive control network (ECN), salience network (SN) and default mode network (DMN), with obesity generally being associated with weakened connectivity in the ECN and enhanced connectivity in the SN and DMN. Similar disruptions have been observed in the much smaller literature examining the relationship between diet and disordered eating behaviors on functional network organization. The purpose of this narrative review was to summarize what is currently known about how obesity and eating behavior relate to functional brain networks, describe common patterns and provide recommendations for future research based on the identified gaps in knowledge.
Donofry et al. (Thu,) conducted a review in Obesity and eating behavior. Obesity and eating behavior was evaluated on Functional brain network organization. Obesity is generally associated with weakened connectivity in the executive control network and enhanced connectivity in the salience and default mode networks.
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