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Individual differences in late positive potential amplitude and theta power predict cue-induced eating

Authors :
Kyla D. Gibney
George Kypriotakis
Francesco Versace
Source :
Addiction Neuroscience, Vol 7, Iss , Pp 100106- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Cue-induced reward-seeking behaviors are regulated by both the affective and cognitive control systems of the brain. This study aimed at investigating how individual differences in affective and cognitive responses to cues predicting food rewards contribute to the regulation of cue-induced eating. We recorded electroencephalogram (EEG) from 59 adults while they viewed emotional and food-related images that preceded the delivery of food rewards (candies) or non-food objects (beads). We measured the amplitude of the late positive potential (LPP) in response to a variety of motivationally relevant images and power in the theta (4-8 Hz) frequency band after candies or beads were dispensed to the participants. We found that individuals with larger LPP responses to food images than to pleasant images (C>P group) ate significantly more during the experiment than those with the opposite response pattern (P>C group, p < 0.001). Furthermore, we found that individuals with higher theta power after dispensation of the candy than of the bead (qCA>qBE) ate significantly more than those with the opposite response pattern (qBE>qCA, p < 0.001). Finally, we found that the crossed P>C and qBE>qCA group ate less (p < 0.001) than did the other three groups formed by crossing the LPP and theta group assignments, who exhibited similar eating behavior on average (p = 0.662). These findings demonstrate that individual differences in both affective and cognitive responses to reward-related cues underlie vulnerability to cue-induced behaviors, underscoring the need for individualized treatments to mitigate maladaptive behaviors.

Details

Language :
English
ISSN :
27723925
Volume :
7
Issue :
100106-
Database :
Directory of Open Access Journals
Journal :
Addiction Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.12a34f0d184f40988f06f99a40b130b1
Document Type :
article
Full Text :
https://doi.org/10.1016/j.addicn.2023.100106