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Experimental Brain Research

, Volume 233, Issue 2, pp 519–528 | Cite as

Electrophysiological evidence for enhanced representation of food stimuli in working memory

  • Femke RuttersEmail author
  • Sanjay Kumar
  • Suzanne Higgs
  • Glyn W. Humphreys
Research Article

Abstract

Studies from our laboratory have shown that, relative to neutral objects, food-related objects kept in working memory (WM) are particularly effective in guiding attention to food stimuli (Higgs et al. in Appetite, 2012). Here, we used electrophysiological measurements to investigate the neural representation of food versus non-food items in WM. Subjects were presented with a cue (food or non-food item) to either attend to or hold in WM. Subsequently, they had to search for a target, while the target and distractor were each flanked by a picture of a food or non-food item. Behavioural data showed that a food cue held in WM modulated the deployment of visual attention to a search target more than a non-food cue, even though the cue was irrelevant for target selection. Electrophysiological measures of attention, memory and retention of memory (the P3, LPP and SPCN components) were larger when food was kept in WM, compared to non-food items. No such effect was observed in a priming task, when the initial cue was merely identified. Overall, our electrophysiological data are consistent with the suggestion that food stimuli are particularly strongly represented in the WM system.

Keywords

Attention Working memory Food and non-food cues Long-latency ERPs 

Notes

Acknowledgments

This work was supported by grants from the Biotechnology and Biological Research Council, the Economic and Social Research Council, the European Union (FP7) and the Medical Research Council, UK.

Conflict of interest

None of the authors disclose any conflict of interest.

References

  1. Babiloni C, Del Percio C, Valenzano A et al (2009) Frontal attentional responses to food size are abnormal in obese subjects: an electroencephalographic study. Clin Neurophysiol 120:1441–1448PubMedCrossRefGoogle Scholar
  2. Blechert J, Sheppes G, Di Tella C, Williams H, Gross JJ (2012) See what you think: reappraisal modulates behavioral and neural responses to social stimuli. Psychol Sci 23:346–353PubMedCrossRefGoogle Scholar
  3. Braet C, Crombez G (2003) Cognitive interference due to food cues in childhood obesity. J Clin Child Adolesc Psychol 32:32–39PubMedCrossRefGoogle Scholar
  4. Calitri R, Pothos EM, Tapper K, Brunstrom JM, Rogers PJ (2010) Cognitive biases to healthy and unhealthy food words predict change in BMI. Obesity 18:2282–2287PubMedCrossRefGoogle Scholar
  5. Castellanos EH, Charboneau E, Dietrich MS, Park S, Bradley BP, Mogg K, Cowan RL (2009) Obese adults have visual attention bias for food cue images: evidence for altered reward system function. Int J Obes 33:1063–1073CrossRefGoogle Scholar
  6. Citron FM (2012) Neural correlates of written emotion word processing: a review of recent electrophysiological and hemodynamic neuroimaging studies. Brain Lang 122:211–226Google Scholar
  7. De Pascalis V, Varriale V, D’Antuono L (2010) Event-related components of the punishment and reward sensitivity. Clin Neurophysiol 121:60–76PubMedCrossRefGoogle Scholar
  8. Eckstein MP (2011) Visual search: a retrospective. J Vis 30:11Google Scholar
  9. Eimer M, Kiss M (2010) An electrophysiological measure of access to representations in visual working memory. Psychophysiology 47:197–200PubMedCentralPubMedCrossRefGoogle Scholar
  10. Fedoroff IC, Polivy J, Herman CP (1997) The effect of pre-exposure to food cues on the eating behavior of restrained and unrestrained eaters. Appetite 28:33–47PubMedCrossRefGoogle Scholar
  11. Friedman D, Johnson R Jr (2000) Event-related potential (ERP) studies of memory encoding and retrieval: a selective review. Microsc Res Tech 51:6–28PubMedCrossRefGoogle Scholar
  12. Higgs S, Rutters F, Thomas J, Naish K, Humphreys GW (2012) Top down modulation of attention to food cues via working memory. Appetite 59:71–75Google Scholar
  13. Holmes A, Bradley BP, Kragh Nielsen M, Mogg K (2009) Attentional selectivity for emotional faces: evidence from human electrophysiology. Psychophysiology 46:62–68PubMedCrossRefGoogle Scholar
  14. Kumar S, Soto D, Humphreys GW (2009) Electrophysiological evidence for attentional guidance by the contents of working memory. Eur J Neurosci 30:307–317PubMedCrossRefGoogle Scholar
  15. Leland DS, Pineda JA (2006) Effects of food-related stimuli on visual spatial attention in fasting and nonfasting normal subjects: behavior and electrophysiology. Clin Neurophysiol 117:67–84PubMedCrossRefGoogle Scholar
  16. Littel M, Euser AS, Munafo MR, Franken IH (2012) Electrophysiological indices of biased cognitive processing of substance-related cues: a meta-analysis. Neurosci Biobehav Rev 36:1803–1816Google Scholar
  17. Loxton NJ, Dawe S, Cahill A (2011) Does negative mood drive the urge to eat? The contribution of negative mood, exposure to food cues and eating style. Appetite 56:368–374PubMedCrossRefGoogle Scholar
  18. Nijs IM, Franken IH (2012) Attentional processing of food cues in overweight and obese individuals. Curr Obes Rep 1:106–113PubMedCentralPubMedCrossRefGoogle Scholar
  19. Nijs IM, Franken IH, Muris P (2008) Food cue-elicited brain potentials in obese and healthy-weight individuals. Eat Behav 9:462–470PubMedCrossRefGoogle Scholar
  20. Nijs IM, Franken IH, Muris P (2009) Enhanced processing of food-related pictures in female external eaters. Appetite 53:376–383PubMedCrossRefGoogle Scholar
  21. Nijs IM, Franken IH, Muris P (2010a) Food-related Stroop interference in obese and normal-weight individuals: behavioral and electrophysiological indices. Eat Behav 11:258–265PubMedCrossRefGoogle Scholar
  22. Nijs IM, Muris P, Euser AS, Franken IH (2010b) Differences in attention to food and food intake between overweight/obese and normal-weight females under conditions of hunger and satiety. Appetite 54:243–254PubMedCrossRefGoogle Scholar
  23. Oostenveld R, Praamstra P (2001) The five percent electrode system for high-resolution EEG and ERP measurements. Clin Neurophysiol 112:713–719PubMedCrossRefGoogle Scholar
  24. Perron R, Lefebvre C, Robitaille N, Brisson B, Gosselin F, Arguin M, Jolicoeur P (2009) Attentional and anatomical considerations for the representation of simple stimuli in visual short-term memory: evidence from human electrophysiology. Psychol Res 73:222–232PubMedCrossRefGoogle Scholar
  25. Picton TW (1992) The P300 wave of the human event-related potential. J Clin Neurophysiol 9:456–479PubMedCrossRefGoogle Scholar
  26. Schupp HT, Cuthbert BN, Bradley MM, Cacioppo JT, Ito T, Lang PJ (2000) Affective picture processing: the late positive potential is modulated by motivational relevance. Psychophysiology 37:257–261PubMedCrossRefGoogle Scholar
  27. Schupp HT, Flaisch T, Stockburger J, Junghofer M (2006) Emotion and attention: event-related brain potential studies. Prog Brain Res 156:31–51PubMedCrossRefGoogle Scholar
  28. Soto D, Humphreys GW (2007) Automatic guidance of visual attention from verbal working memory. J Exp Psychol Hum Percept Perform 33:730–737PubMedCrossRefGoogle Scholar
  29. Soto D, Heinke D, Humphreys GW, Blanco MJ (2005) Early, involuntary top-down guidance of attention from working memory. J Exp Psychol Hum Percept Perform 31:248–261PubMedCrossRefGoogle Scholar
  30. Soto D, Hodsoll J, Rotshtein P, Soto Hodsoll, Humphreys GW (2008) Automatic guidance of attention from working memory. Trends Cogn Sci 12:342–348PubMedCrossRefGoogle Scholar
  31. Stingl KT, Rogic M, Stingl K et al (2010) The temporal sequence of magnetic brain activity for food categorization and memorization—an exploratory study. Neuroimage 52:1584–1591PubMedCrossRefGoogle Scholar
  32. Stockburger J, Weike AI, Hamm AO, Schupp HT (2008) Deprivation selectively modulates brain potentials to food pictures. Behav Neurosci 122:936–942PubMedCrossRefGoogle Scholar
  33. Stockburger J, Schmalzle R, Flaisch T, Bublatzky F, Schupp HT (2009) The impact of hunger on food cue processing: an event-related brain potential study. Neuroimage 47:1819–1829PubMedCrossRefGoogle Scholar
  34. Svaldi J, Tuschen-Caffier B, Peyk P, Blechert J (2010) Information processing of food pictures in binge eating disorder. Appetite 55:685–694PubMedCrossRefGoogle Scholar
  35. Toepel U, Knebel JF, Hudry J, le Coutre J, Murray MM (2009) The brain tracks the energetic value in food images. Neuroimage 44:967–974PubMedCrossRefGoogle Scholar
  36. Vogel EK, Machizawa MG (2004) Neural activity predicts individual differences in visual working memory capacity. Nature 428:748–751PubMedCrossRefGoogle Scholar
  37. Yokum S, Ng J, Stice E (2011) Attentional bias to food images associated with elevated weight and future weight gain: an FMRI study. Obesity (Silver Spring) 19:1775–1783CrossRefGoogle Scholar
  38. Yu R, Zhou W, Zhou X (2011) Rapid processing of both reward probability and reward uncertainty in the human anterior cingulate cortex. PLoS One 6:e29633PubMedCentralPubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Femke Rutters
    • 1
    • 2
    Email author
  • Sanjay Kumar
    • 3
  • Suzanne Higgs
    • 1
  • Glyn W. Humphreys
    • 4
  1. 1.School of PsychologyUniversity of BirminghamBirminghamUK
  2. 2.Epidemiology and BiostatisticsVU Medical CentreAmsterdamThe Netherlands
  3. 3.Department of PsychologyOxford Brookes UniversityOxfordUK
  4. 4.Department of Experimental PsychologyUniversity of OxfordOxfordUK

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