Contrasting frontal cortical responses to food versus money rewards across BMI groups
Nutritional Neuroscience. 2023-08-21; 27(7): 688-697
DOI: 10.1080/1028415x.2023.2245212
Lire sur PubMed
https://www.bordeaux-neurocampus.fr/12505
Ginieis R(1)(2), Yan F(2), Franz EA(2), Peng M(1).
Author information:
(1)Sensory Neuroscience Laboratory, Department of Food Science, University of
Otago, Dunedin, New Zealand.
(2)Department of Psychology, University of Otago, Dunedin, New Zealand.
Previous research has linked obesity with an altered perception of rewards. This
study aimed to contrast frontal cortical activities across body mass index (BMI)
groups, in responding to differential rewards (monetary versus food). A total of
60 male participants (27.43 ± 6.07 years of age; 21 normal weight [BMI:
18.5-24.9 kg·m-2]; 20 overweight [BMI: 25.0-29.9 kg·m-2]; and 19 individuals
with obesity [BMI ≥ 30 kg·m-2]) were tested for their response bias towards food
and money rewards using the Probabilistic Reward Task (PRT), while their frontal
cortical responses were recorded using electroencephalography (EEG). The
feedback-related negativity (FRN), a reliable measure of reward valuation and
learning, was calculated for food (FRN(Food)) and money (FRN(Money)). Results
indicate a left-lateralised frontal cortical activity associated with the food
reward condition, in the group of overweight and obesity. In contrast, a
right-lateralisation was observed in the money reward condition only in the
group with obesity. More specifically, FRN(Food) was shown to significantly
differ between left and right frontal cortical areas among individuals with
obesity (p = 0.035) and overweight (p = 0.012), but not in normal-weight
individuals (p = 0.153). Additionally, results revealed that FRN(Food) and
FRN(Money) were significantly different for individuals with obesity
(p = 0.019), but such a significant difference was not evident in the overweight
and normal-weight individuals (p ≥ 0.05). These findings offer intriguing new
insights into neuropsychological differentiation across BMI groups, adding to
the understanding of obesity-related behaviour.
DOI: 10.1080/1028415X.2023.2245212
PMID: 37603004 [Indexed for MEDLINE]