Summary

インパルス食品の選択を減少させる手段としてのエラー

Published: June 05, 2016
doi:

Summary

Giving in to temptation of tasty food may result in long-term overweight problems. This protocol describes how to reduce imprudent preference for edible commodities during hypothetical intertemporal choices in women by associating them with errors.

Abstract

Nowadays, the increasing incidence of eating disorders due to poor self-control has given rise to increased obesity and other chronic weight problems, and ultimately, to reduced life expectancy. The capacity to refrain from automatic responses is usually high in situations in which making errors is highly likely. The protocol described here aims at reducing imprudent preference in women during hypothetical intertemporal choices about appetitive food by associating it with errors. First, participants undergo an error task where two different edible stimuli are associated with two different error likelihoods (high and low). Second, they make intertemporal choices about the two edible stimuli, separately. As a result, this method decreases the discount rate for future amounts of the edible reward that cued higher error likelihood, selectively. This effect is under the influence of the self-reported hunger level. The present protocol demonstrates that errors, well known as motivationally salient events, can induce the recruitment of cognitive control, thus being ultimately useful in reducing impatient choices for edible commodities.

Introduction

今日、人々が障害1-4を食べるの上昇に直面支援することが重要です。これらの障害は、個人はできるだけ早くそれを追求し、消費する誘導食欲の食品に関連したインセンティブの動機、(これは甘い高脂肪食品5-6で特に示されている)の過大評価を反映しています。これは、しばらくの間、食事療法にあることから生じることが将来の利益を犠牲にして行われますが、そのために食べるの制御を発揮する能力は、7-8必要です。実際、これらの異常行動を示す人々が食用手がかり9-10および一次報酬11のエクスペリエンス強化されたインセンティブの値に向かって注意バイアスが増加しています。また、だけでも食欲をそそる食材を見ると摂食障害を有する個体において、通常の人口12月13日の両方で、すぐに食品を消費するための欲求を頭出しすることができます。即座に得られる満足を​​控えると長期outcoを放棄しないために私( 例えば 、食事の数ヶ月後の重量を失うこと)、1は偉大な自己制御を行使し、誘惑に与えるとすぐに消費する生得的、進化的に決定された衝動に抵抗しなければなりません。セルフコントロール、神経科学の分野で認知制御の概念に相互に関連される概念を発揮し、一つは、おそらく、他の、より適切な行動14の実装をさらに検討するため、先天性衝動を克服することが可能であるとことを意味しています。

どのように個人が自己制御戦略に従事していますか?研究では、容量がエラーフルコンテキスト15に高くなるの自動応答を控えるために長年にわたって強調しています。エラーがよく遭遇したとき、代償応答16を引き出す高度喚起や嫌悪のイベントを考えています。具体的には、彼らはそれによって1は、現在およびf制御のレベルを調整する必要があることを知らせる、パフォーマンスとユーティリティの両方に障害/損失を頭出しutureの動作に応じて17。また、エラーは、このように最適な選択応答18-21の実施を誘導する、エラーが発生しやすい、不適応行動から脱出するための警告方法として、嫌悪学習を頭出しすることができます。

現在のプロトコルは、おいしい食品とエラーの間の関連付けは、特定の行動に従事することはこのように代償自己制御戦略の実施を奨励し、それによって衝動食品の選択を削減、コスト( すなわち 、報酬損失)につながることを知らせることができる方法を示しています20,22。 23から適応本プロトコルでは、参加者は予め実験時の自己報告に彼らの空腹レベルを尋ねている6つの異なる食品を評価します。評価に基づいて、各被験者の等価インセンティブ値を有する2つの食品は、後続のタスクのために選択されます。その後、参加者は、2つの以前に選択されたエラータスク(24を参照する参照)、食品、それを実行します(ハイとロー)EMSキュー異なるエラー率は、パフォーマンスに関連した:エラータスクは1食品によってキュー1の試行条件で、参加者は少数のエラーをするようにプログラムされ、他のトライアル状態にされ、他のことで頭出し食品、彼らはエラーのはるかに大きな数を作ります。その後、二つの主要な報酬のそれぞれについて、参加者の異時点間の選択は、測定された(参照25から適応)されます。代わりにダイエットしながら魅力的な食べ物に直面したときに重要であるすぐに得られる喜び、の大きく、遅延援軍を追求する能力は、実際にカリッ異時点間の選択によって捕獲された26のパラダイム。長い時間1が良いために受信され、消費されるのを待つ必要があり、この潜在的な報酬のより主観的な評価が弱められる( すなわち 、いわゆる時間的割引現象27-34)。悪い決定は( すなわち 、より高い傾向が近いgratifications、すなわち一時的な増加を選択します)将来の利益のために割引くことは衝動35のコア機能と薬物中毒と肥満36-45を含む多数の疾患のランドマークとして考えられています。このプロトコルに記載の手順を経た後、参加者が選択的に、高い誤り率をキューイング刺激に対して減少せっかち選択肢を示します。被験者によって報告された飢餓レベルが23低いときに効果がより明らかです。飢餓は、一次報酬と、今度は、これらの報酬7,50-52の将来の金額の割引率の動機付け値を高めることにより、食品46-49の即時評価に影響を与えるため、これが発生します。

この方法の利点は、最初に簡単に適用可能です。異時点間の意思決定のタスクを先行するエラーのトレーニングは、多様な臨床現場で使用することがすることが可能となる、ほぼ完全に楽です。第二に、この方法は、仮想的な食用のアイテムとの所望の効果を生成し、本物の食品を使用する必要はありません。第三に、参加者は、同様に実際の生活の中で確実に食品の意思決定に影響を与える可能性のある本物の食べ物の好み、上の後続の影響を作り、食品のエラー関連の主に知りませんでした。最後に、研究23で試験された参加者は、すべての若い女性があったが、本研究の被験者はの知らなかった主な理由は、あまりにも異時点間の意思決定の上に食べ物エラーペアリングの効果は、若い男性のものと同じであろうと推測するのは良い理由があります意図した効果。

Protocol

倫理の声明:このプロトコルで説明するすべての手順は、(また、ヘルシンキ23,53の宣言を参照してください)ボローニャ大学の心理学科の倫理委員会から倫理的承認後に開発し、試験しました。 1.参加者健康な若い成人女性のサンプルを選択します。 、ダイエットにない参加者を募集歴史によって決定されるように、現在または過去の精神また?…

Representative Results

上記のプロトコルのアプリケーションからの代表的な結果をここで報告されています。 エラータスクエラータスクの有効性は、以下の結果によって決定されています。参加者が犯した誤りの割合に関しては、彼らが停止試験中LE条件よりもHE内のエラーの有意に高い数、囲碁試…

Discussion

この記事では詳細に健康な若い成人女性に衝動食品の選択肢を削減することを目的とした新たなプロトコルを記述します。このプロトコルでの重要なステップは、健康な女性人口からの参加者をサンプリングし、実験時の自己報告の飢餓のレベルを収集し、各被験者の等価インセンティブ値を持つ2つの食品を選択し、二つの異なるエラーの各エラータスクに参加者を提出含みます尤度(無作…

Divulgations

The authors have nothing to disclose.

Acknowledgements

GDPに授与:この作品はMinistero IstruzioneUniversità電子Ricerca(2010XPMFW4_009 PRIN 2010、プロトコル番号)からProgrammiディRicerca ScientificaディRilevanteインテレッセナツィオナーレ(PRIN)助成金によってサポートされていました。また、原稿を校正し、ビデオで実行するためのカテリーナベルティーニとラファエラ・マリノに感謝しています。

Materials

E-Prime PST Stimulus Delivery Software
Statistica Statsoft Statistical Software

References

  1. Haslam, D. W., James, W. P. Obesity. Lancet. 366 (9492), 1197-1209 (2005).
  2. Knight, J. A. Diseases and disorders associated with excess body weight. Ann Clin Lab Sci. 41 (2), 107-121 (2011).
  3. Fortuna, J. L. The obesity epidemic and food addiction: clinical similarities to drug dependence. J Psychoactive Drugs. 44 (1), 56-63 (2012).
  4. Bowden, D. J., Kilburn-Toppin, F., Scoffings, D. J. Radiology of eating disorders: a pictorial review. Radiographics. 33 (4), 1171-1193 (2013).
  5. Davis, C., et al. From motivation to behaviour: a model of reward sensitivity, overeating, and food preferences in the risk profile for obesity. Appetite. 48 (1), 12-19 (2007).
  6. Dalton, M., Blundell, J., Finlayson, G. Effect of BMI and binge eating on food reward and energy intake: Further evidence for a binge eating subtype of obesity. Obes Facts. 6 (4), 348-359 (2013).
  7. Epstein, L. H., Salvy, S. J., Carr, K. A., Dearing, K. K., Bickel, W. K. Food reinforcement, delay discounting and obesity. Physiol Behav. 100 (5), 438-445 (2010).
  8. Appelhans, B. M., et al. Inhibiting food reward: delay discounting, food reward sensitivity, and palatable food intake in overweight and obese women. Obesity. 19 (11), 2175-2182 (2011).
  9. Svaldi, J., Tuschen-Caffier, B., Peyk, P., Blechert, J. Information processing of food pictures in binge eating disorder. Appetite. 55 (3), 685-694 (2010).
  10. Brooks, S., Prince, A., Stahl, D., Campbell, I. C., Treasure, J. A systematic review and meta-analysis of cognitive bias to food stimuli in people with disordered eating behaviour. Clin Psychol Rev. 31 (1), 37-51 (2011).
  11. Schebendach, J., Broft, A., Foltin, R. W., Walsh, B. T. Can the reinforcing value of food be measured in bulimia nervosa. Appetite. 62, 70-75 (2013).
  12. Hawk, L. W., Baschnagel, J. S., Ashare, R. L., Epstein, L. H. Craving and startle modification during in vivo exposure to food cues. Appetite. 43 (3), 285-294 (2004).
  13. di Pellegrino, G., Magarelli, S., Mengarelli, F. Food pleasantness affects visual selective attention. Q J Exp Psychol. 64 (3), 560-571 (2011).
  14. Miller, E. K., Cohen, J. D. An integrative theory of prefrontal cortex function. Annu Rev Neurosci. 24, 167-202 (2001).
  15. Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., Cohen, J. D. Conflict monitoring and cognitive control. Psychol Rev. 108 (3), 624-652 (2001).
  16. Hajcak, G., Foti, D. Errors are aversive: defensive motivation and the error-related negativity. Psychol Sci. 19 (2), 103-108 (2008).
  17. Ridderinkhof, K. R., van den Wildenberg, W. P. M., Segalowitz, S. J., Carter, C. S. Neurocognitive mechanisms of cognitive control: the role of prefrontal cortex in action selection, response inhibition, performance monitoring, and reward-based learning. Brain Cognition. 56 (2), 129-140 (2004).
  18. Holroyd, C. B., Coles, M. G. H. The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychol Rev. 109 (4), 679-709 (2002).
  19. Yeung, N., Botvinick, M. M., Cohen, J. D. The neural basis of error detection: conflict monitoring and the error-related negativity. Psychol Rev. 111 (4), 931-959 (2004).
  20. Shackman, A. J., et al. The integration of negative affect, pain and cognitive control in the cingulate cortex. Nat Rev Neurosci. 12 (3), 154-167 (2011).
  21. Frank, M. J., Woroch, B. S., Curran, T. Error-related negativity predicts reinforcement learning and conflict biases. Neuron. 47 (4), 495-501 (2005).
  22. Fujita, K., Han, H. A. Moving beyond deliberative control of impulses: the effect of construal levels on evaluative associations in self-control conflicts. Psychol Sci. 20 (7), 799-804 (2009).
  23. Sellitto, M., di Pellegrino, G. Errors affect hypothetical intertemporal food choice in women. PLoS ONE. 9 (9), 108422 (2014).
  24. Brown, J. W., Braver, T. S. Learned predictions of error likelihood in the anterior cingulate cortex. Science. 307 (5712), 1118-1121 (2005).
  25. Sellitto, M., Ciaramelli, E., di Pellegrino, G. Myopic discounting of future rewards after medial orbitofrontal damage in humans. J Neurosci. 30 (49), 16429-16436 (2010).
  26. Takahashi, T., Ikeda, K., Hasegawa, T. A hyperbolic decay of subjective probability of obtaining delayed rewards. Behav Brain Funct. 3, 52 (2007).
  27. Frederick, S., Loewenstein, G., O’Donoghue, T. Time discounting and time preference: a critical review. J Econ Lit. 40 (2), 351-401 (2002).
  28. Sellitto, M., Ciaramelli, E., di Pellegrino, G. The neurobiology of intertemporal choice: insight from imaging and lesion studies. Rev Neurosci. 22 (5), 565-574 (2011).
  29. Samuelson, P. A. A note on measurement of utility. Review Econ Stud. 4 (2), 155-161 (1937).
  30. Ainslie, G. W. Specious reward: a behavioral theory of impulsiveness and impulse control. Psychol Bull. 82 (4), 463-496 (1975).
  31. Myerson, J., Green, L. Discounting of delayed rewards: models of individual choice. J Exp Anal Behav. 64 (3), 263-276 (1995).
  32. Cardinal, R. N., Pennicott, D. R., Sugathapala, C. L., Robbins, T. W., Everitt, B. J. Impulsive choice induced in rats by lesions of the nucleus accumbens core. Science. 292 (5526), 2499-2501 (2001).
  33. Kalenscher, T., et al. Single units in the pigeon brain integrate reward amount and time-to-reward in an impulsive choice task. Curr Biol. 15 (7), 594-602 (2005).
  34. Peters, J., Büchel, C. Neural representations of subjective reward value. Behav Brain Res. 213 (2), 135-141 (2010).
  35. Takahashi, T. Loss of self-control in intertemporal choice may be attributable to logarithmic time-perception. Med Hypotheses. 65 (4), 691-693 (2005).
  36. Mischel, W., Shoda, Y., Peake, P. K. The nature of adolescent competencies predicted by preschool delay of gratification. J Pers Soc Psychol. 54 (4), 687-699 (1988).
  37. Davis, C., Levitan, R. D., Muglia, P., Bewell, C., Kennedy, J. L. Decision-making deficits and overeating: A Risk model for obesity. Obes Res. 12 (6), 929-935 (2004).
  38. Davis, C., Patte, K., Curtis, C., Reid, C. Immediate pleasures and future consequences. A neuropsychological study of binge eating and obesity. Appetite. 54 (1), 208-213 (2010).
  39. Bickel, W. K., et al. Behavioral and neuroeconomics of drug addiction: competing neural systems and temporal discounting processes. Drug Alcohol Depen. 90 (1), 85-91 (2007).
  40. Weller, R. E., Cook, E., Avsar, K., Cox, J. Obese women show greater delay discounting than healthy-weight women. Appetite. 51 (3), 563-569 (2008).
  41. Manwaring, J. L., Green, L., Myerson, J., Strube, M. J., Wilfley, D. E. Discounting of various types of rewards by women with and without binge eating disorder: Evidence for general rather than specific differences. Psychol Rec. 61 (4), 561-582 (2011).
  42. Appelhans, B. M., et al. Delay discounting and intake of ready-to-eat and away-from-home foods in overweight and obese women. Appetite. 59 (2), 576-584 (2012).
  43. Kishinevsky, F. I., et al. fMRI reactivity on a delay discounting task predicts weight gain in obese women. Appetite. 58 (2), 582-592 (2012).
  44. Bickel, W. K., et al. Using crowdsourcing to compare temporal, social temporal, and probability discounting among obese and non-obese individuals. Appetite. 75, 82-89 (2013).
  45. Schiff, S., et al. Impulsivity toward food reward is related to BMI Evidence from intertemporal choice in obese and normal-weight individuals. Brain Cogn. , 1-8 (2015).
  46. Kringelbach, M. L. Food for thought: hedonic experience beyond homeostasis in the human brain. Neurosciences. 126 (4), 807-819 (2004).
  47. Seibt, B., Hafner, M., Deutsch, R. Prepared to eat: How immediate affective and motivational responses to food cues are influenced by food deprivation. Eur J Soc Psychol. 37, 359-379 (2007).
  48. Stafford, L. D., Scheffler, G. Hunger inhibits negative associations to food but not auditory biases in attention. Appetite. 51 (3), 1-15 (2008).
  49. Piech, R. M., Hampshire, A., Owen, A. M., Parkinson, J. A. Modulation of cognitive flexibility by hunger and desire. Cogn Emot. 23, 528-540 (2009).
  50. Lappalainen, R., Epstein, L. H. A behavioral economics analysis of food choice in humans. Appetite. 14 (2), 81-93 (1990).
  51. Epstein, L. H., Paluch, R., Coleman, K. J. Differences in salivation to repeated food cues in obese and nonobese women. Psychosom Med. 58 (2), 160-164 (1996).
  52. Epstein, L. H., Truesdale, R., Wojcik, A., Paluch, R. A., Raynor, H. A. Effects of deprivation on hedonics and reinforcing value of food. Physiol Behav. 78 (2), 221-227 (2003).
  53. . International Committee of Medical Journal Editors Statements from the Vancouver group. Brit Med J. 302, 1194 (1991).
  54. Smalley, K. J., Knerr, A. N., Kendrick, Z. V., Colliver, J. A., Owen, O. E. Reassessment of body mass indices. Am J Clin Nutr. 52 (3), 405-408 (1990).
  55. Borghans, L., Golsteyn, B. H. H. Time discounting and the body mass index: Evidence from the Netherlands. Econ Hum Biol. 4 (1), 39-61 (2006).
  56. Likert, R. A technique for the measurement of attitudes. Arch Psychol. 140, 1-55 (1932).
  57. Sibilia, L. The cognition of hunger and eating behaviours. Psihologijske Teme. 19, 341-354 (2010).
  58. Asmaro, D., Jaspers-Fayer, F., Sramko, V., Taake, I., Carolan, P., Liotti, M. Spatiotemporal dynamics of the hedonic processing of chocolate images in individuals with and without trait chocolate craving. Appetite. 58, 790-799 (2012).
  59. Asmaro, D., Liotti, M. High-caloric and chocolate stimuli processing in healthy humans: An integration of functional imaging and electrophysiological findings. Nutrients. 6, 319-341 (2014).
  60. Lawrence, N. S., Hinton, E. C., Parkinson, J. A., Lawrence, A. D. Nucleus accumbens response to food cues predicts subsequent snack consumption in women and increased body mass index in those with reduced self-control. NeuroImage. 63 (1), 415-422 (2012).
  61. Siep, N., Roefs, A., Roebroeck, A., Havermans, R., Bonte, M. L., Jansen, A. Hunger is the best spice: An fMRI study of the effects of attention, hunger and calorie content on food reward processing in the amygdala and orbitofrontal cortex. Behav Brain Res. 198, 149-158 (2009).
  62. Piech, R. M., et al. Neural correlates of appetite and hunger-related evaluative judgments. PloS one. 4 (8), 6581 (2009).
  63. Logan, G. D., Cowan, W. B. On the ability to inhibit thought and action: a theory of an act of control. Psychol Rev. 91 (3), 295-327 (1984).
  64. Bickel, W. K., Pitcock, J. A., Yi, R., Angtuaco, E. J. Congruence of BOLD response across intertemporal choice conditions: fictive and real money gains and losses. J Neurosci. 29 (27), 8839-8846 (2009).
  65. Johnson, M. W., Bickel, W. K. Within-subject comparison of real and hypothetical money rewards in delay discounting. J Exp Anal Behav. 77 (2), 129-146 (2002).
  66. Kirby, K. N., Herrnstein, R. J. Preference reversals due to myopic discounting of delayed reward. Psychol Sci. 6 (2), 83-89 (1995).
  67. Myerson, J., Green, L., Hanson, J. S., Holt, D. D., Estle, S. J. Discounting delayed and probabilistic rewards: Processes and traits. J Econ Psychol. 24, 619-635 (2003).
  68. Estle, S. J., Green, L., Myerson, J., Holt, D. D. Discounting of monetary and directly consumable rewards. Psychol Sci. 18 (1), 58-63 (2007).
  69. Mazur, J. E. An adjusting procedure for studying delayed reinforcement. Quantitative analyses of behavior: The effect of delay and of intervening events on reinforcement value. 5, 55-73 (1987).
  70. Rachlin, H., Raineri, A., Cross, D. Subjective probability and delay. J Exp Anal Behav. 55 (2), 233-244 (1991).
  71. Green, L., Myerson, J. A discounting framework for choice with delayed and probabilistic rewards. Psychol Bull. 130 (5), 769-792 (2004).
  72. Van Strien, T., Bergers, G. P. A., Defares, P. B. The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior. Int J Eat Disorder. 5 (2), 295-315 (1986).
  73. Botvinick, M. M. Conflict monitoring and decision making: reconciling two perspectives on anterior cingulate function. Cogn Affect Behav Neurosci. 7 (4), 356-366 (2007).
  74. McClure, S. M., Ericson, K. M., Laibson, D. I., Loewenstein, G., Cohen, J. D. Time discounting for primary rewards. J Neurosci. 27 (21), 5796-5804 (2007).
  75. Bickel, W. K., Yi, R., Houser, D., McCabe, K. Temporal discounting as a measure of executive function: Insights from the competing neurobehavioral decision system hypothesis of addiction. Neuroeconomics: Advances in health economics and health services research. , 289-310 (2008).
  76. Cook, E. W., Turpin, G., Lang, P. J., Simons, R. F., Balaban, M. Y. Differentiating orienting, startle, and defense responses: The role of affect and its implications for psychopathology. Attention and orienting: Sensory and motivational processes. 23, 137-164 (1997).
  77. Notebaert, W., et al. Post-error slowing: an orienting account. Cognition. 111, 275-279 (2009).
  78. Luu, P., Collins, P., Tucker, D. M. Mood , personality, and self-monitoring: negative affect and emotionality in relation to frontal lobe mechanisms of error monitoring. J Exp Psychol Gen. 129 (1), 43-60 (2000).
  79. van der Helden, J., Boksem, M. A., Blom, J. H. The importance of failure: feedback-related negativity predicts motor learning efficiency. Cereb Cortex. 20 (7), 1596-1603 (2010).
  80. Schultz, W. Predictive reward signal of dopamine neurons. J Neurophysiol. 80 (1), 1-27 (1998).
  81. Figner, B., et al. Lateral prefrontal cortex and self-control in intertemporal choice. Nat Neurosci. 13, 538-539 (2010).
  82. Volkow, N. D., Wang, G. J., Fowler, J. S., Tomasi, D., Baler, R. Food and drug reward: Overlapping circuits in human obesity and addiction. Curr Top Behav Neurosci. 11, 1-24 (2011).
  83. Guerrieri, R., Nederkoorn, C., Jansen, A. Disinhibition is easier learned than inhibition. The effects of (dis)inhibition training on food intake. Appetite. 59 (1), 96-99 (2012).
  84. Avena, N. M., Rada, P., Hoebel, B. G. Underweight rats have enhanced dopamine release and blunted acetylcholine response in the nucleus accumbens while bingeing on sucrose. Neurosciences. 156 (4), 865-871 (2008).
  85. Gearhardt, A. N., et al. Neural correlates of food addiction. Arch Gen Psychiat. 68 (8), 808-816 (2011).
  86. Umberg, E. N., Shader, R. I., Hsu, L. K., Greenblatt, D. J. From disordered eating to addiction: the ”food drug” in bulimia nervosa. J Clin Psychopharm. 32 (3), 376-389 (2012).
  87. Daniel, T. O., Stanton, C. M., Epstein, L. H. The future is now: reducing impulsivity and energy intake using episodic future thinking. Psychol Sci. 24 (11), 2339-2342 (2013).
  88. Lawrence, N. S., Verbruggen, F., Morrison, S., Adams, R. C., Chambers, C. D. Stopping to food can reduce intake. Effects of stimulus-specificity and individual differences in dietary restraint. Appetite. 85, 91-103 (2015).
  89. Wessel, J. R., Tonnesen, A. L., Aron, A. R. Stimulus devaluation induced by action stopping is greater for explicit value representations. Front Psychol. 6, 1-10 (2015).
  90. Anderson, B. A., Laurent, P. A., Yantis, S. Value-driven attentional capture. Proc Natl Acad Sci USA. 108 (25), 10367-10371 (2011).
  91. Wessel, J. R., Doherty, J. P. O., Berkebile, M. M., Linderman, D., Aron, A. R. Stimulus devaluation induced by stopping action. J Exp Psychol Gen. 143 (6), 1-14 (2014).
  92. Marteau, T. M., Hollands, G. J., Fletcher, P. C. Changing human behavior to prevent disease: The importance of targeting automatic processes. Science. 337, 1492-1495 (2012).
  93. Houben, K., Nederkoorn, C., Wiers, R. W., Jansen, A. Resisting temptation: decreasing alcohol-related affect and drinking behavior by training response inhibition. Drug Alcohol Depen. 116 (1-3), 132-136 (2011).
  94. Mischel, W., Shoda, Y., Rodriguez, M. I. Delay of gratification in children. Science. 244, 933-938 (1989).
  95. Schlam, T. R., Wilson, N. L., Shoda, Y., Mischel, W., Ayduk, O. Preschoolers’ delay of gratification predicts their body mass 30 years later. J Pediatr. 162 (1), 90-93 (2013).
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Sellitto, M., di Pellegrino, G. Errors as a Means of Reducing Impulsive Food Choice. J. Vis. Exp. (112), e53283, doi:10.3791/53283 (2016).

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