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 language | English |
|---|---|
| Pages (from-to) | 491-503 |
| Number of pages | 13 |
| Journal | American Journal of Clinical Nutrition |
| Volume | 109 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2019 |
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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
Cite this
}
Good practice in food-related neuroimaging. / Smeets, Paul A M; Dagher, Alain; Hare, Todd A; Kullmann, Stephanie; van der Laan, Laura N; Poldrack, Russell A; Preissl, Hubert; Small, Dana; Stice, Eric; Veldhuizen, Maria G.
In: American Journal of Clinical Nutrition, Vol. 109, No. 3, 03.2019, p. 491-503.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Good practice in food-related neuroimaging
AU - Smeets, Paul A M
AU - Dagher, Alain
AU - Hare, Todd A
AU - Kullmann, Stephanie
AU - van der Laan, Laura N
AU - Poldrack, Russell A
AU - Preissl, Hubert
AU - Small, Dana
AU - Stice, Eric
AU - Veldhuizen, Maria G
N1 - © 2019 American Society for Nutrition.
PY - 2019/3
Y1 - 2019/3
N2 - 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.
AB - 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.
KW - ACTIVATION
KW - BRAIN RESPONSES
KW - FMRI
KW - INDIVIDUAL-DIFFERENCES
KW - MOTION ARTIFACT
KW - OBESITY
KW - POWER CALCULATION
KW - PREDICT WEIGHT-GAIN
KW - REWARD
KW - SELECTIVE ATTENTION
KW - aroma
KW - data sharing
KW - food choice
KW - food viewing
KW - functional magnetic resonance imaging
KW - good practice
KW - neuroimaging
KW - satiation
KW - taste
U2 - 10.1093/ajcn/nqy344
DO - 10.1093/ajcn/nqy344
M3 - Article
VL - 109
SP - 491
EP - 503
JO - American Journal of Clinical Nutrition
JF - American Journal of Clinical Nutrition
SN - 0002-9165
IS - 3
ER -