Neural Responses to Visual Food Cues: Insights from Functional Magnetic Resonance Imaging

García‐García, Isabel; Narberhaus, Ana; Marqués-Iturria, Idoia; Garolera, Maite; Rădoi, Andreea; Segura, Bàrbara; Pueyo, Roser; Ariza, Mar; Jurado, Marı́a Ángeles

doi:10.1002/erv.2216

Cited by 142 publications

(133 citation statements)

References 121 publications

(235 reference statements)

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“…The fasted or "hungry" state was associated with increased resting-state regional cerebral blood flow and increased activity in response to visual food cues in the insular cortex (Hinton et al 2004;Chechlacz et al 2009). Recent reviews also have described reduced activation in the insular cortex in those who are obese or overweight, suggesting weakened attempts to control one's appetite (Brooks et al 2013;Garcia-Garcia et al 2013). Given the importance of regulating eating behavior, cortical atrophy in this area may diminish its capacity to receive information on changes in energy balance after food consumption, and this limitation may then lead to excessive food intake.…”

Section: Discussionmentioning

confidence: 93%

Regional cortical thickness and subcortical volume changes in patients with metabolic syndrome

Song

Chung

Rho

et al. 2014

Brain Imaging and Behavior

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Although previous studies have demonstrated an association between metabolic syndrome (MS) and changes in the integrity of cerebral white matter, no study has evaluated cortical thickness or subcortical volumes in MS with MRI. The purpose of our study was to investigate changes in cortical thickness and subcortical volume in an asymptomatic MS population. A total of 86 asymptomatic subjects (40 patients with MS and 46 subjects without MS) underwent 3T brain MRI scanning, and cortical thickness was compared between the groups across multiple locations. The subcortical volumes were also compared on a structure-by-structure basis. ANCOVA adjusted for age, education, total intracranial volume (TIV), and gender revealed significant volume reductions in the right nucleus accumbens in the MS group compared with the control group. The MS group showed a significant reduction in mean cortical thickness and volume in both hemispheres compared with controls. A group comparison analysis of the regional cortical thickness between the two groups also revealed significant reductions in cortical thickness in the MS group in the left insular, superior parietal, postcentral, entorhinal, and right superior parietal cortices compared with those of the control group (all comparisons p < 0.05, FDR corrected). We demonstrated a significant reduction in cortical and subcortical areas in MS patients, especially in areas involved in body weight control and cognitive function. Our results suggest an initial neurodegenerative process according to metabolic syndrome even in the preclinical stage, and further prospective studies are required to evaluate this process.

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Section: Discussionmentioning

confidence: 93%

Regional cortical thickness and subcortical volume changes in patients with metabolic syndrome

Song

Chung

Rho

et al. 2014

Brain Imaging and Behavior

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“…This may be in part due to the fact that previous studies either used a passive delivery of food reward (for an overview, please see ref. 41) or performed a comparison between different stimuli types or different levels of reward during hunger (43), which in effect normalizes the observed signal, so that a general reward level-independent increase in reward processing cannot be assessed. Furthermore, most previous studies were unable to directly compare reward modalities due to differences in task design (for example, Dean and colleagues, ref.…”

Section: L I N I C a L M E D I C I N Ementioning

confidence: 99%

Integration of homeostatic signaling and food reward processing in the human brain

et al. 2017

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IntroductionThe consumption of food is necessary for our everyday survival and is promoted by an intricate network of complex homeostatic and hedonic interactions. Hunger is a motivational state considered as an endpoint of these elements; it ensures that we actively seek out food when necessary. However, hunger is not only the result of simple energy deficiency; it has emerged as a product of a complex biopsychological and environmental interaction. Given the rapid development of obesity worldwide, a better understanding of the interaction between the encoding of food in the brain reward network and homeostatic energy regulation is of paramount importance for the development of new treatment strategies. BACKGROUND.Food intake is guided by homeostatic needs and by the reward value of food, yet the exact relation between the two remains unclear. The aim of this study was to investigate the influence of different metabolic states and hormonal satiety signaling on responses in neural reward networks.

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“…In the study of Hare and colleagues (2009), the success of self-control on dietary choices (meaning that study participants successfully considered the health aspects of food in their dietary choices) was positively associated with the activity in the dlPFC, subsequently influencing food value attribution as reflected by vmPFC modulations. Other neuroimaging studies have further shown that the brain tracks the energy content of foods (García-García et al, 2013;Killgore et al, 2003; Van der Laan et al, 2011). Responses to varying food types (Toepel et al, 2009) and food portion sizes (Toepel et al, 2015) have been shown to differ already within 200ms after image exposure; reflected by activity modulations in temporo-occipital and frontal brain regions (e.g.…”

Section: Introductionmentioning

confidence: 99%

Does my brain want what my eyes like? – How food liking and choice influence spatio-temporal brain dynamics of food viewing

Notter-Bielser

Crézé

Murray

et al. 2016

Brain and Cognition

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How food valuation affects decision-making, and how both influence the perception of food, is of major interest to better understand food intake behavior and, by extension, body weight management. Our study investigated behavioral responses and spatio-temporal brain dynamics by means of visual evoked potentials (VEPs) in twenty-two normal-weight participants when viewing pairs of food photographs. Participants rated how much they liked each food item (valuation) and subsequently chose between the two alternative food images.Unsurprisingly, strongly liked foods were also chosen most often. Foods were rated faster as strongly liked than as mildly liked or disliked irrespective of whether they were subsequently chosen over an alternative. Moreover, strongly liked foods were subsequently also chosen faster than the less liked alternatives. Response times during valuation and choice were positively correlated, but only when foods were liked; the faster participants rated foods as strongly liked, the faster they were in choosing the food item over an alternative. VEPs modulated according to the level of liking attributed as well as the subsequent choice as early as 135-180ms after food image onset. Analyses of neural source activity patterns over this time interval revealed an interaction between liking and the subsequent choice within the insula, dorsal frontal and superior parietal regions. Only when foods were chosen did the attributed level of liking modulate neural responses to food viewing. Therein, the responses to disliked foods were generally greater than those to foods that were liked more. Moreover, the responses to disliked but chosen foods were greater than responses to disliked foods which were subsequently dismissed for an alternative offer. Our findings show that the spatio-temporal brain dynamics to food viewing are immediately influenced both by how much encountered foods are liked, and in parallel by choices participants have to take. These valuation and choice processes are subserved by brain regions involved in salience and reward attribution as well as in 4 decision-making processes, which are likely to influence prospective dietary choices in everyday life.5

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Neural Responses to Visual Food Cues: Insights from Functional Magnetic Resonance Imaging

Cited by 142 publications

References 121 publications

Regional cortical thickness and subcortical volume changes in patients with metabolic syndrome

Regional cortical thickness and subcortical volume changes in patients with metabolic syndrome

Integration of homeostatic signaling and food reward processing in the human brain

Does my brain want what my eyes like? – How food liking and choice influence spatio-temporal brain dynamics of food viewing

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