AI Article Synopsis

  • - Obesity affects nearly 40% of American adults and is linked to higher mortality rates and various physical and psychological health issues, along with impairments in decision-making and self-control.
  • - Research shows that these issues are associated with disruptions in brain networks that regulate self-regulation, reward processing, and homeostatic control, particularly in the executive control network (ECN), salience network (SN), and default mode network (DMN).
  • - This review aims to summarize existing knowledge about the connections between obesity, eating behaviors, and brain function, as well as offer recommendations for future studies to address gaps in the current understanding.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657447PMC
http://dx.doi.org/10.1093/scan/nsz085DOI Listing

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