Gender and Weight Shape Brain Dynamics during Food Viewing

Hemodynamic imaging results have associated both gender and body weight to variation in brain responses to food-related information. However, the spatio-temporal brain dynamics of gender-related and weight-wise modulations in food discrimination still remain to be elucidated. We analyzed visual evoked potentials (VEPs) while normal-weighted men (n = 12) and women (n = 12) categorized photographs of energy-dense foods and non-food kitchen utensils. VEP analyses showed that food categorization is influenced by gender as early as 170 ms after image onset. Moreover, the female VEP pattern to food categorization co-varied with participants' body weight. Estimations of the neural generator activity over the time interval of VEP modulations (i.e. by means of a distributed linear inverse solution [LAURA]) revealed alterations in prefrontal and temporo-parietal source activity as a function of image category and participants' gender. However, only neural source activity for female responses during food viewing was negatively correlated with body-mass index (BMI) over the respective time interval. Women showed decreased neural source activity particularly in ventral prefrontal brain regions when viewing food, but not non-food objects, while no such associations were apparent in male responses to food and non-food viewing. Our study thus indicates that gender influences are already apparent during initial stages of food-related object categorization, with small variations in body weight modulating electrophysiological responses especially in women and in brain areas implicated in food reward valuation and intake control. These findings extend recent reports on prefrontal reward and control circuit responsiveness to food cues and the potential role of this reactivity pattern in the susceptibility to weight gain.

[1]  Christoph M. Michel,et al.  Towards the utilization of EEG as a brain imaging tool , 2012, NeuroImage.

[2]  Micah M. Murray,et al.  Towards a resolution of conflicting models of illusory contour processing in humans , 2012, NeuroImage.

[3]  A. Villringer,et al.  Obesity-Related Differences between Women and Men in Brain Structure and Goal-Directed Behavior , 2011, Front. Hum. Neurosci..

[4]  P. Muris,et al.  Food-related Stroop interference in obese and normal-weight individuals: behavioral and electrophysiological indices. , 2010, Eating behaviors.

[5]  K. Blum,et al.  Weight Gain Is Associated with Reduced Striatal Response to Palatable Food , 2010, The Journal of Neuroscience.

[6]  Eric Stice,et al.  Reward circuitry responsivity to food predicts future increases in body mass: Moderating effects of DRD2 and DRD4 , 2010, NeuroImage.

[7]  Christoph M. Michel,et al.  Comparing ICA-based and Single-Trial Topographic ERP Analyses , 2010, Brain Topography.

[8]  Thomas Koenig,et al.  A Method to Determine the Presence of Averaged Event-Related Fields Using Randomization Tests , 2010, Brain Topography.

[9]  Deborah A Yurgelun-Todd,et al.  Sex differences in cerebral responses to images of high versus low-calorie food , 2010, Neuroreport.

[10]  Jason R. Tregellas,et al.  Sex-based differences in the behavioral and neuronal responses to food , 2010, Physiology & Behavior.

[11]  W. Brooks,et al.  Neural Mechanisms Associated With Food Motivation in Obese and Healthy Weight Adults , 2010, Obesity.

[12]  Chrysa D. Lithari,et al.  Are Females More Responsive to Emotional Stimuli? A Neurophysiological Study Across Arousal and Valence Dimensions , 2009, Brain Topography.

[13]  Alice Mado Proverbio,et al.  Sex differences in the brain response to affective scenes with or without humans , 2009, Neuropsychologia.

[14]  Claudio Del Percio,et al.  Frontal attentional responses to food size are abnormal in obese subjects: An electroencephalographic study , 2009, Clinical Neurophysiology.

[15]  H. Kraemer,et al.  Gender difference in the prevalence of eating disorder symptoms. , 2009, The International journal of eating disorders.

[16]  Micah M. Murray,et al.  The brain tracks the energetic value in food images , 2009, NeuroImage.

[17]  A. Hamm,et al.  Deprivation selectively modulates brain potentials to food pictures. , 2008, Behavioral neuroscience.

[18]  Colin Camerer,et al.  A framework for studying the neurobiology of value-based decision making , 2008, Nature Reviews Neuroscience.

[19]  C. Apovian,et al.  Obesity prevalence from a European perspective: a systematic review , 2008, BMC public health.

[20]  Donald B. Twieg,et al.  Widespread reward-system activation in obese women in response to pictures of high-calorie foods , 2008, NeuroImage.

[21]  Denis Brunet,et al.  Topographic ERP Analyses: A Step-by-Step Tutorial Review , 2008, Brain Topography.

[22]  M. Murray,et al.  Generating Controlled Image Sets in Cognitive Neuroscience Research , 2008, Brain Topography.

[23]  S. Delplanque,et al.  Beyond Conventional Event-related Brain Potential (ERP): Exploring the Time-course of Visual Emotion Processing Using Topographic and Principal Component Analyses , 2008, Brain Topography.

[24]  Hans-Christian Bauknecht,et al.  Differential activation of the dorsal striatum by high-calorie visual food stimuli in obese individuals , 2007, NeuroImage.

[25]  R. Dolan,et al.  The human amygdala and orbital prefrontal cortex in behavioural regulation , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.

[26]  Á. Pascual-Leone,et al.  The right brain hypothesis for obesity. , 2007, JAMA.

[27]  A. Fabricatore,et al.  Behavior therapy and cognitive-behavioral therapy of obesity: is there a difference? , 2007, Journal of the American Dietetic Association.

[28]  J. Driskell,et al.  Sex differences in dieting trends, eating habits, and nutrition beliefs of a group of midwestern college students. , 2006, Journal of the American Dietetic Association.

[29]  A. Proverbio,et al.  Gender differences in hemispheric asymmetry for face processing , 2006, BMC Neuroscience.

[30]  M. Brammer,et al.  Cerebral processing of food-related stimuli: Effects of fasting and gender , 2006, Behavioural Brain Research.

[31]  W. K. Simmons,et al.  Pictures of appetizing foods activate gustatory cortices for taste and reward. , 2005, Cerebral cortex.

[32]  M. Kringelbach The human orbitofrontal cortex: linking reward to hedonic experience , 2005, Nature Reviews Neuroscience.

[33]  Micah M. Murray,et al.  How single-trial electrical neuroimaging contributes to multisensory research , 2005, Experimental Brain Research.

[34]  Deborah A Yurgelun-Todd,et al.  Body mass predicts orbitofrontal activity during visual presentations of high-calorie foods , 2005, Neuroreport.

[35]  F. Guillem,et al.  Gender differences in memory processing: Evidence from event-related potentials to faces , 2005, Brain and Cognition.

[36]  H. Croker,et al.  Helping individuals to help themselves* , 2005, The Proceedings of the Nutrition Society.

[37]  Gregor Thut,et al.  Prediction of response speed by anticipatory high‐frequency (gamma band) oscillations in the human brain , 2005, Human brain mapping.

[38]  M. Murray,et al.  EEG source imaging , 2004, Clinical Neurophysiology.

[39]  Christoph M. Michel,et al.  Electrical neuroimaging based on biophysical constraints , 2004, NeuroImage.

[40]  C. Michel,et al.  Electromagnetic Inverse Solutions in Anatomically Constrained Spherical Head Models , 2004, Brain Topography.

[41]  C. Michel,et al.  Noninvasive Localization of Electromagnetic Epileptic Activity. I. Method Descriptions and Simulations , 2004, Brain Topography.

[42]  H. Hoek,et al.  Review of the prevalence and incidence of eating disorders. , 2003, The International journal of eating disorders.

[43]  S. Woods,et al.  Gender Differences in the Control of Energy Homeostasis , 2003, Experimental biology and medicine.

[44]  J. O'Doherty,et al.  Encoding Predictive Reward Value in Human Amygdala and Orbitofrontal Cortex , 2003, Science.

[45]  Piotr Bogorodzki,et al.  Cortical and limbic activation during viewing of high- versus low-calorie foods , 2003, NeuroImage.

[46]  Kewei Chen,et al.  Sex differences in the human brain's response to hunger and satiation. , 2002, The American journal of clinical nutrition.

[47]  Alan C. Evans,et al.  Changes in brain activity related to eating chocolate: from pleasure to aversion. , 2001, Brain : a journal of neurology.

[48]  P. Bain,et al.  A study of tremor in multiple sclerosis. , 2001, Brain : a journal of neurology.

[49]  E. Rolls The orbitofrontal cortex and reward. , 2000, Cerebral cortex.

[50]  V S Johnston,et al.  Gender differences in late positive components evoked by human faces. , 1999, Psychophysiology.

[51]  J T Kuikka,et al.  Regional cerebral blood flow during food exposure in obese and normal-weight women. , 1997, Brain : a journal of neurology.

[52]  D. Guthrie,et al.  Significance testing of difference potentials. , 1991, Psychophysiology.

[53]  J. Talairach,et al.  Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .

[54]  D. Lehmann,et al.  Principles of spatial analysis , 1987 .

[55]  F. Perrin,et al.  Mapping of scalp potentials by surface spline interpolation. , 1987, Electroencephalography and clinical neurophysiology.

[56]  D. Lehmann,et al.  Reference-free identification of components of checkerboard-evoked multichannel potential fields. , 1980, Electroencephalography and clinical neurophysiology.

[57]  G. Pfurtscheller Handbook of electroencephalography and clinical neurophysiology , 1978 .

[58]  F. Plum Handbook of Electroencephalography and Clinical Neurophysiology , 1972 .

[59]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[60]  R. C. Oldfield THE ASSESSMENT AND ANALYSIS OF HANDEDNESS , 1971 .