Is hunger important to model in fMRI visual food-cue reactivity paradigms in adults with obesity and how should this be done?

Is hunger important to model in fMRI visual food-cue reactivity paradigms in adults with obesity... We considered 1) influence of self-reported hunger in behavioral and fMRI food-cue reactivity (fMRI-FCR) 2) optimal methods to model this.Adults (N = 32; 19–60 years; F = 21; BMI 30–39.9 kg/m2) participated in an fMRI-FCR task that required rating 240 images of food and matched objects for ‘appeal’. Hunger, satiety, thirst, fullness and emptiness were measured pre- and post-scan (visual analogue scales). Hunger, satiety, fullness and emptiness were combined to form a latent factor (appetite). Post-vs. pre-scores were compared using paired t-tests. In mixed-effects models, appeal/fMRI-FCR responses were regressed on image (i.e. food/objects), with random intercepts and slopes of image for functional runs nested within subjects. Each of hunger, satiety, thirst, fullness, emptiness and appetite were added as covariates in 4 forms (separate models): 1) change; 2) post- and pre-mean; 3) pre-; 4) change and pre-.Satiety decreased (Δ = −13.39, p = 0.001) and thirst increased (Δ = 11.78, p = 0.006) during the scan. Changes in other constructs were not significant (p’s > 0.05). Including covariates did not influence food vs. object contrast of appeal ratings/fMRI-FCR. Significant image X covariate interactions were observed in some fMRI models. However, including these constructs did not improve the overall model fit.While some subjective, self-reported hunger, satiety and related constructs may be moderating fMRI-FCR, these constructs do not appear to be salient influences on appeal/fMRI-FCR in people with obesity undergoing fMRI. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Appetite Elsevier

Is hunger important to model in fMRI visual food-cue reactivity paradigms in adults with obesity and how should this be done?

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0195-6663
D.O.I.
10.1016/j.appet.2017.09.012
Publisher site
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Abstract

We considered 1) influence of self-reported hunger in behavioral and fMRI food-cue reactivity (fMRI-FCR) 2) optimal methods to model this.Adults (N = 32; 19–60 years; F = 21; BMI 30–39.9 kg/m2) participated in an fMRI-FCR task that required rating 240 images of food and matched objects for ‘appeal’. Hunger, satiety, thirst, fullness and emptiness were measured pre- and post-scan (visual analogue scales). Hunger, satiety, fullness and emptiness were combined to form a latent factor (appetite). Post-vs. pre-scores were compared using paired t-tests. In mixed-effects models, appeal/fMRI-FCR responses were regressed on image (i.e. food/objects), with random intercepts and slopes of image for functional runs nested within subjects. Each of hunger, satiety, thirst, fullness, emptiness and appetite were added as covariates in 4 forms (separate models): 1) change; 2) post- and pre-mean; 3) pre-; 4) change and pre-.Satiety decreased (Δ = −13.39, p = 0.001) and thirst increased (Δ = 11.78, p = 0.006) during the scan. Changes in other constructs were not significant (p’s > 0.05). Including covariates did not influence food vs. object contrast of appeal ratings/fMRI-FCR. Significant image X covariate interactions were observed in some fMRI models. However, including these constructs did not improve the overall model fit.While some subjective, self-reported hunger, satiety and related constructs may be moderating fMRI-FCR, these constructs do not appear to be salient influences on appeal/fMRI-FCR in people with obesity undergoing fMRI.

Journal

AppetiteElsevier

Published: Jan 1, 2018

References

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