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Smeets, P.A.M.* ; Dagher, A.* ; Hare, T.A.* ; Kullmann, S. ; van der Laan, L.N.* ; Poldrack, R.A.* ; Preissl, H. ; Small, D.* ; Stice, E.* ; Veldhuizen, M.G.*

Good practice in food-related neuroimaging.

Am. J. Clin. Nutr. 109, 491-503 (2019)
Verlagsversion Postprint Forschungsdaten DOI
Open Access Green
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Functional Magnetic Resonance Imaging ; Neuroimaging ; Good Practice ; Data Sharing ; Food Viewing ; Food Choice ; Taste ; Aroma ; Satiation; Predict Weight-gain; Brain Responses; Selective Attention; Individual-differences; Power Calculation; Motion Artifact; Fmri; Obesity; Reward; Activation
ISSN (print) / ISBN 0002-9165
e-ISSN 1938-3207
Quellenangaben Band: 109, Heft: 3, Seiten: 491-503 Artikelnummer: , Supplement: ,
Verlag American Society for Nutrition
Verlagsort Great Clarendon St, Oxford Ox2 6dp, England
Begutachtungsstatus Peer reviewed
Förderungen European Union Seventh Framework Programme (EU FP7)