Gender and weight shape brain dynamics during food viewing

Area of Science:

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging

Background:

• Previous research links gender and body weight to brain responses to food.
• The precise brain dynamics of these modulations in food discrimination are not fully understood.

Purpose of the Study:

• To investigate gender- and weight-related differences in brain activity during food categorization.
• To explore the spatio-temporal dynamics of these modulations using visual evoked potentials (VEPs).

Main Methods:

• Analysis of visual evoked potentials (VEPs) in normal-weighted men and women categorizing food and non-food images.
• Utilized a distributed linear inverse solution (LAURA) to estimate neural generator activity.
• Correlated neural activity with body mass index (BMI).

Main Results:

• Gender influenced food categorization as early as 170 ms post-stimulus onset.
• Female VEP patterns for food categorization varied with body weight.
• Decreased neural activity in ventral prefrontal regions was observed in women viewing food, correlating negatively with BMI.

Conclusions:

• Gender significantly impacts early stages of food categorization.
• Body weight modulates electrophysiological responses in women, particularly in brain regions related to reward valuation and intake control.
• These findings highlight potential neural mechanisms underlying weight gain susceptibility.