Literature DB >> 33851199

Test-retest reliability of functional MRI food receipt, anticipated receipt, and picture tasks.

Sonja Yokum1, Cara Bohon2, Elliot Berkman3, Eric Stice2.   

Abstract

BACKGROUND: Functional MRI (fMRI) tasks are increasingly being used to advance knowledge of the etiology and maintenance of obesity and eating disorders. Thus, understanding the test-retest reliability of BOLD signal contrasts from these tasks is important.
OBJECTIVES: To evaluate test-retest reliability of responses in reward-related brain regions to food receipt paradigms (palatable tastes, anticipated palatable tastes), food picture paradigms (high-calorie food pictures), a monetary reward paradigm (winning money and anticipating winning money), and a thin female model picture paradigm (thin female model pictures).
METHOD: We conducted secondary univariate contrast-based analyses in data drawn from 4 repeated-measures fMRI studies. Participants (Study 1: N = 60, mean [M] age = 15.2 ± 1.1 y; Study 2: N = 109, M age = 15.1 ± 0.9 y; Study 3: N = 39, M age = 21.2 ± 3.7 y; Study 4: N = 62, M age = 29.7 ± 6.2 y) completed the same tasks over 3-wk to 3-y test-retest intervals. Studies 3 and 4 included participants with eating disorders and obesity, respectively.
RESULTS: Test-retest reliability of the food receipt and food picture paradigms was poor, with average ICC values ranging from 0.07 to 0.20. The monetary reward paradigm and the thin female model picture paradigm also showed poor test-retest reliability: average ICC values 0.21 and 0.12, respectively. Although several regions demonstrated moderate to good test-retest reliability, these results did not replicate across studies using similar paradigms. In Studies 3 and 4, but not Study 1, test-retest reliability in visual processing regions was moderate to good when contrasting single conditions with a low-level baseline.
CONCLUSIONS: Results underscore the importance of examining the temporal reliability of fMRI tasks and call for the development and use of well-validated standardized fMRI tasks in eating- and obesity-related studies that can provide more reliable measures of neural activation. The trials were registered at clinicaltrials.gov as NCT02084836, NCT01949636, NCT03261050, and NCT03375853.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.

Entities:  

Keywords:  food picture; food taste; model; monetary reward; repeated-measures fMRI; reward; test-retest reliability

Mesh:

Year:  2021        PMID: 33851199      PMCID: PMC8326039          DOI: 10.1093/ajcn/nqab096

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  45 in total

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Authors:  Sonja Yokum; Eric Stice
Journal:  Am J Clin Nutr       Date:  2019-12-01       Impact factor: 7.045

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7.  Dissociation of neural networks for anticipation and consumption of monetary and social rewards.

Authors:  Lena Rademacher; Sören Krach; Gregor Kohls; Arda Irmak; Gerhard Gründer; Katja N Spreckelmeyer
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8.  Acute stress potentiates brain response to milkshake as a function of body weight and chronic stress.

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Journal:  Int J Obes (Lond)       Date:  2012-03-20       Impact factor: 5.095

9.  fMRI reliability: influences of task and experimental design.

Authors:  Craig M Bennett; Michael B Miller
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Review 10.  Test-retest reliability of longitudinal task-based fMRI: Implications for developmental studies.

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Journal:  Dev Cogn Neurosci       Date:  2017-07-13       Impact factor: 6.464

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  3 in total

Review 1.  Neural Vulnerability Factors That Predict Future Weight Gain.

Authors:  Eric Stice; Sonja Yokum
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Review 2.  The influence of the subcortex and brain stem on overeating: How advances in functional neuroimaging can be applied to expand neurobiological models to beyond the cortex.

Authors:  Po-Han Kung; Carles Soriano-Mas; Trevor Steward
Journal:  Rev Endocr Metab Disord       Date:  2022-04-05       Impact factor: 9.306

Review 3.  Brain Responses to High-Calorie Visual Food Cues in Individuals with Normal-Weight or Obesity: An Activation Likelihood Estimation Meta-Analysis.

Authors:  Yingkai Yang; Qian Wu; Filip Morys
Journal:  Brain Sci       Date:  2021-11-30
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