全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
PLOS ONE  2012 

Gender and Weight Shape Brain Dynamics during Food Viewing

DOI: 10.1371/journal.pone.0036778

Full-Text   Cite this paper   Add to My Lib

Abstract:

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.

References

[1]  Hoek HW, van Hoeken D (2003) Review of the prevalence and incidence of eating disorders. Int J Eat Disord 34: 383–396.
[2]  Bergh?fer A, Pischon T, Reinhold T, Apovian CM, et al. (2008) Obesity prevalence from a European perspective: a systematic review. BMC Public Health 8: 200.
[3]  Woods SC, Gotoh K, Clegg DJ (2003) Gender differences in the control of energy homeostasis. Exp Biol Med 228: 1175–1180.
[4]  Horstmann A, Busse FP, Mathar D, Müller K, Lepsien J, et al. (2011) Obesity-Related Differences between Women and Men in Brain Structure and Goal-Directed Behavior. Front Hum Neurosci 5: 58.
[5]  Toepel U, Knebel JF, Hudry J, Le Coutre J, Murray MM (2009) The brain tracks the energetic value in food images. Neuroimage 44: 967–974.
[6]  DelParigi A, Chen K, Gautier JF, Salbe AD, Pratley RE, et al. (2002) Sex differences in the human brain's response to hunger and satiation. Am J Clin Nutr 75: 1017–1022.
[7]  Uher R, Treasure J, Heining M, Brammer MJ, Campbell IC (2006) Cerebral processing of food-related stimuli: effects of fasting and gender. Behav Brain Res 69: 111–119.
[8]  Cornier MA, Salzberg A K, Endly DC, Bessesen DH, Tregellas JR (2010) Sex-based differences in the behavioral and neuronal responses to food. Physiol Behav 99: 538–543.
[9]  Killgore WD, Yurgelun-Todd DA (2010) Sex differences in cerebral responses to images of high versus low-calorie food. Neuroreport 21: 354–358.
[10]  Killgore WD, Yurgelun-Todd DA (2005) Body mass predicts orbitofrontal activity during visual presentations of high-calorie foods. Neuroreport 16: 859–863.
[11]  Martin LE, Holsen LM, Chambers RJ, Bruce AS, Brooks WM, et al. (2010) Neural mechanisms associated with food motivation in obese and healthy weight adults. Obesity (Silver Spring) 18: 254–260.
[12]  Karhunen LJ, Lappalainen RI, Vanninen EJ, Kuikka JT, Uusitupa MI (1997) Regional cerebral blood flow during food exposure in obese and normal-weight women. Brain 120: 1675–1684.
[13]  Killgore WD, Young AD, Femia LA, Bogorodzki P, Rogowska J, et al. (2003) Cortical and limbic activation during viewing of high- versus low-calorie foods. Neuroimage 19: 1381–1394.
[14]  Costain L, Croker H (2005) Helping individuals to help themselves. Proc Nutr Soc 64: 89–96.
[15]  Fabricatore AN (2007) Behavior therapy and cognitive-behavioral therapy of obesity: is there a difference? J Am Diet Assoc 107: 92–99.
[16]  Proverbio AM, Brignone V, Matarazzo S, Del Zotto M, Zani A (2006) Gender differences in hemispheric asymmetry for face processing. BMC Neurosci 7: 44.
[17]  Proverbio AM, Adorni R, Zani A, Trestianu L (2009) Sex differences in the brain response to affective scenes with or without humans. Neuropsychologia 47: 2374–2388.
[18]  Lithari C, Frantzidis CA, Papadelis C, Vivas AB, Klados MA, et al. (2010) Are females more responsive to emotional stimuli? A neurophysiological study across arousal and valence dimensions. Brain Topogr 23: 27–40.
[19]  Oliver-Rodríguez JC, Guan Z, Johnston VS (1999) Gender differences in late positive components evoked by human faces. Psychophysiology 36: 176–185.
[20]  Guillem F, Mograss M (2005) Gender differences in memory processing: evidence from event-related potentials to faces. Brain Cogn 57: 84–92.
[21]  Murray MM, Brunet D, Michel CM (2008) Topographic ERP Analyses: A Step-by-Step Tutorial Review. Brain Topogr 20: 249–264.
[22]  Michel CM, Murray MM (2012) Towards the utilization of EEG as a brain imaging tool. NeuroImage. doi:10.1016/j.neuroimage.2011.12.039.
[23]  Davy SR, Benes BA, Driskell JA (2006) Sex differences in dieting trends, eating habits, and nutrition beliefs of a group of midwestern college students. J Am Diet Assoc 106: 1673–1677.
[24]  Striegel-Moore RH, Rosselli F, Perrin N, DeBar L, Wilson GT, et al. (2009) Gender difference in the prevalence of eating disorder symptoms. Int J Eat Disord 42: 471–474.
[25]  Stockburger J, Weike AI, Hamm AO, Schupp HAT (2008) Deprivation selectively modulates brain potentials to food pictures. Behav Neurosci 122: 936–942.
[26]  Oldfield RC (1971) The assessment and analysis of handedness: The Edinburgh Inventory. Neuropsychologia 9: 97–113.
[27]  Knebel JF, Toepel U, Hudry J, Le Coutre J, Murray MM (2008) Methods for generating controlled image sets in cognitive neuroscience research. Brain Topogr 20: 284–290.
[28]  Perrin F, Pernier J, Bertrand O, Giard MH, Echallier JF (1987) Mapping of scalp potentials by surface spline interpolation. Electroencephalogr Clin Neurophysiol 66: 75–81.
[29]  Lehmann D, Skrandies W (1980) Reference-free identification of components of checkerboard-evoked multichannel potential fields. Electroencephalogr Clin Neurophysiol 48: 609–621.
[30]  Koenig T, Melie-García LA (2010) A Method to Determine the Presence of Averaged Event-Related Fields Using Randomization Tests. Brain Topogr 23: 233–242.
[31]  Michel CM, Murray MM, Lantz G, Gonzalez S, Spinelli L, Grave de Peralta R (2004) EEG source imaging. Clin Neurophysiol 115: 2195–2222.
[32]  Guthrie D, Buchwald JS (1991) Significance testing of difference potentials. Psychophysiology 28: 240–244.
[33]  Lehmann D (1987) Principles of spatial analysis. In: Gevins, A.S., Reymond, A. (Eds.), Handbook of electroencephalography and clinical neurophysiology. Methods of Analysis of Brain Electrical and Magnetic Signals, vol. 1, Amsterdam: Elsevier, pp 309–354:
[34]  Pourtois G, Delplanque S, Michel C, Vuilleumier P (2008) Beyond conventional event-related brain potential (ERP): Exploring the time-course of visual emotion processing using topographic and principal component analyses. Brain Topogr 20: 265–277.
[35]  De Lucia M, Michel CM, Murray MM (2010) Comparing ICA-based and single-trial topographic ERP analyses. Brain Topogr 23: 119–127.
[36]  Grave de Peralta R, Gonzalez Andino SL, Lantz G, Michel CM, Landis T (2001) Noninvasive localization of electromagnetic epileptic activity: 1. Method descriptions and simulations. Brain Topogr 14: 131–137.
[37]  Grave de Peralta Menendez R, Murray MM, Michel CM, Martuzzi R, Gonzalez Andino SL (2004) Electrical neuroimaging based on biophysical constraints. Neuroimage 21: 527–539.
[38]  Spinelli L, Andino SG, Lantz G, Seeck M, Michel CM (2000) Electromagnetic inverse solutions in anatomically constrained spherical head models. Brain Topogr 13: 115–125.
[39]  Gonzalez Andino SL, Murray MM, Foxe JJ, de Peralta Menendez RG (2005) How single-trial electrical neuroimaging contributes to multisensory research. Exp Brain Res 166: 298–304.
[40]  Gonzalez Andino SL, Michel CM, Thut G, Landis T, Grave de Peralta R (2005) Prediction of response speed by anticipatory high-frequency (gamma band) oscillations in the human brain. Hum Brain Mapp 24: 50–58.
[41]  Knebel JF, Murray MM (2012) Towards a resolution of conflicting models of illusory contour processing in humans. Neuroimage 59: 2808–2817.
[42]  Talairach J, Tournoux P (1988) Co-planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System – an Approach to Cerebral Imaging. New York: Thieme Medical Publishers.
[43]  Babiloni C, Del Percio C, Valenzano A, Marzano N, De Rosas M, et al. (2009) Frontal attentional responses to food size are abnormal in obese subjects: an electroencephalographic study. Clin Neurophysiol 120: 1441–1448.
[44]  Nijs IM, Franken IH, Muris P (2010) Food-related Stroop interference in obese and normal-weight individuals: behavioral and electrophysiological indices. Eat Behav 11: 258–265.
[45]  Rothemund Y, Preuschhof C, Bohner G, Bauknecht HC, Klingebiel R, et al. (2007) Differential activation of the dorsal striatum by high-calorie visual food stimuli in obese individuals. Neuroimage 37: 410–421.
[46]  Stoeckel LE, Weller RE, Cook EW 3rd, Twieg DB, Knowlton RC, et al. (2008) Widespread reward-system activation in obese women in response to pictures of high-calorie foods. Neuroimage 41: 636–647.
[47]  Rolls ET (2000) The orbitofrontal cortex and reward. Cereb Cortex 10: 284–294.
[48]  Small DM, Zatorre RJ, Dagher A, Evans AC, Jones-Gotman M (2001) Changes in brain activity related to eating chocolate: from pleasure to aversion. Brain 124: 720–733.
[49]  Dolan RJ (2007) The human amygdala and orbital prefrontal cortex in behavioural regulation. Philos Trans R Soc Lond B Biol Sci 362: 787–799.
[50]  Rangel A, Camerer C, Montague PR (2008) A framework for studying the neurobiology of value-based decision making. Nat Rev Neurosci 9: 545–556.
[51]  Kringelbach ML (2005) The human orbitofrontal cortex: linking reward to hedonic experience. Nat Rev Neurosci 6: 691–702.
[52]  Gottfried JA, O'Doherty J, Dolan RJ (2003) Encoding predictive reward value in human amygdala and orbitofrontal cortex. Science 301: 1104–1107.
[53]  Simmons WK, Martin A, Barsalou LW (2005) Pictures of appetizing foods activate gustatory cortices for taste and reward. Cereb Cortex 15: 1602–1608.
[54]  Alonso-Alonso M, Pascual-Leone A (2007) The right brain hypothesis for obesity. JAMA 297: 1819–1822.
[55]  Stice E, Yokum S, Bohon C, Marti N, Smolen A (2010) Reward circuitry responsivity to food predicts future increases in body mass: moderating effects of DRD2 and DRD4. Neuroimage 50: 1618–1625.
[56]  Stice E, Yokum S, Blum K, Bohon C (2010) Weight gain is associated with reduced striatal response to palatable food. J Neurosci 30: 13105–13109.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133