A core eating network and its modulations underlie diverse eating phenomena

Area of Science:

• Neuroscience
• Cognitive Science
• Psychology

Background:

• Existing research on eating behavior involves diverse neural mechanisms.
• A unified framework is needed to connect various eating phenomena.
• Previous models proposed a core eating network involving reward and control pathways.

Purpose of the Study:

• To propose a core eating network model that explains diverse eating phenomena.
• To demonstrate how food cues activate this network, consistent with grounded cognition.
• To illustrate how factors like food significance, BMI, and eating disorders modulate the network.

Main Methods:

• Review of functional Magnetic Resonance Imaging (fMRI) studies on eating behavior.
• Analysis of literature on neural responses to food cues and eating.
• Synthesis of findings on modulatory factors influencing the eating network.

Main Results:

• Neural responses to food cues activate the same core eating network as actual eating.
• Food cues trigger reward predictions and motivate consumption via eating simulations.
• Factors such as palatability, hunger, BMI, eating disorders, and eating goals modulate the core network's activity.

Conclusions:

• A core eating network and its modulations provide a unified framework for understanding human eating.
• This model integrates responses to food cues, reward predictions, and behavioral motivations.
• Understanding network modulations offers insights into eating disorders and goal-directed eating behaviors.