Good practice in food-related neuroimaging

Paul A M Smeets, Alain Dagher, Todd A Hare, Stephanie Kullmann, Laura N van der Laan, Russell A Poldrack, Hubert Preissl, Dana Small, Eric Stice, Maria G Veldhuizen

    Research output: Contribution to journalArticleScientificpeer-review

    58 Citations (Scopus)

    Abstract

    The use of neuroimaging tools, especially functional magnetic resonance imaging, in nutritional research has increased substantially over the past 2 decades. Neuroimaging is a research tool with great potential impact on the field of nutrition, but to achieve that potential, appropriate use of techniques and interpretation of neuroimaging results is necessary. In this article, we present guidelines for good methodological practice in functional magnetic resonance imaging studies and flag specific limitations in the hope of helping researchers to make the most of neuroimaging tools and avoid potential pitfalls. We highlight specific considerations for food-related studies, such as how to adjust statistically for common confounders, like, for example, hunger state, menstrual phase, and BMI, as well as how to optimally match different types of food stimuli. Finally, we summarize current research needs and future directions, such as the use of prospective designs and more realistic paradigms for studying eating behavior.

    Original languageEnglish
    Pages (from-to)491-503
    Number of pages13
    JournalAmerican Journal of Clinical Nutrition
    Volume109
    Issue number3
    DOIs
    Publication statusPublished - Mar 2019

    Keywords

    • ACTIVATION
    • BRAIN RESPONSES
    • FMRI
    • INDIVIDUAL-DIFFERENCES
    • MOTION ARTIFACT
    • OBESITY
    • POWER CALCULATION
    • PREDICT WEIGHT-GAIN
    • REWARD
    • SELECTIVE ATTENTION
    • aroma
    • data sharing
    • food choice
    • food viewing
    • functional magnetic resonance imaging
    • good practice
    • neuroimaging
    • satiation
    • taste

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