Dana M. Small
Yale University
Publications 114
#1Ivan E. de Araujo (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 1
#2Mark Schatzker (Yale University)
Last.Dana M. Small (Yale University)H-Index: 40
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The conscious perception of the hedonic sensory properties of caloric foods is commonly believed to guide our dietary choices. Current and traditional models implicate the consciously perceived hed...
#1Iris B. Hovens (Yale University)
#2Jelle R. Dalenberg (Yale University)H-Index: 8
Last.Dana M. Small (Yale University)H-Index: 40
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#1Yizhou Zhou (SWU: Southwest University)H-Index: 1
#2Xiao Gao (SWU: Southwest University)
Last.Hong Chen (SWU: Southwest University)H-Index: 23
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Abstract In China, the rate of spicy food consumption is rising, and chili pepper is among the most popular spicy foods consumed nationwide. Therefore, investigation into spicy food craving is of public health interest and can also provide better insights into the mechanisms that underlie food cravings more generally. This exploratory study aimed to determine neural circuits underlying spicy food craving by comparing brain response to the cues of foods containing chili peppers in extreme cravers...
Abstract Obesity and metabolic dysfunction are both correlated with increased rates of cognitive decline. However, because these two conditions often co-occur, it remains unclear whether their cognitive consequences are independent. In this review, we carefully consider literature examining the effects of metabolic dysfunction and increased adiposity on cognition across the lifespan, including only well-controlled studies that attempt to dissociate their effects. We found a total of 36 studies, ...
#1Chloé BerlandH-Index: 2
Last.Serge LuquetH-Index: 5
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#2Mary V. BurkeH-Index: 3
Last.Dana M. SmallH-Index: 40
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#1Paul A.M. Smeets (UU: Utrecht University)H-Index: 28
#2Alain Dagher (Montreal Neurological Institute and Hospital)H-Index: 60
Last.Maria G. Veldhuizen (Yale University)H-Index: 18
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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 specifi...
4 CitationsSource
#1Sharmili Edwin Thanarajah (MPG: Max Planck Society)H-Index: 3
#2Heiko Backes (MPG: Max Planck Society)H-Index: 20
Last.Marc Tittgemeyer (MPG: Max Planck Society)H-Index: 30
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Summary Pleasant taste and nutritional value guide food selection behavior. Here, orosensory features of food may be secondary to its nutritional value in underlying reinforcement, but it is unclear how the brain encodes the reward value of food. Orosensory and peripheral physiological signals may act together on dopaminergic circuits to drive food intake. We combined fMRI and a novel [11C]raclopride PET method to assess systems-level activation and dopamine release in response to palatable food...
3 CitationsSource
#1Jelle R. Dalenberg (Yale University)H-Index: 8
#2Barkha P. PatelH-Index: 3
Last.Dana M. Small (Yale University)H-Index: 40
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There is a general consensus that overconsumption of sugar sweetened beverages contributes to the prevalence of obesity and related comorbidities such as type 2 diabetes (T2D). Whether a similar relationship exists for no, or low-calorie 9diet9 drinks is a subject of intensive debate and controversy. Here, we show that metabolic dysfunction, coupled with reduced central sensitivity to sweet, but not sour, salty or bitter taste, occurs when sucralose is repeatedly consumed with, but not without, ...
#1Michael C. Farruggia (Yale University)
#2Maria J van Kooten (UG: University of Groningen)
Last.Dana M. Small (Yale University)H-Index: 40
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Evidence points to the brain as central in the pathophysiology of obesity. However, none of the methods used to diagnose and quantify obesity such as body mass index (BMI), body weight, percent body fat, waist circumference, and waist-hip ratio are brain measures. Here we used Connectome-based Predictive Modeling (CPM), a data-driven approach, to determine whether brain CPMs could be isolated for these measures of adiposity. CPM exploits individual variation in whole-brain functional connectivit...