Attentional Bias and Response Inhibition in Severe Obesity with Food Disinhibition: a Study of P300 and N200 Event-related Potential

Overview

Journal Int J Obes (Lond)

Specialty Endocrinology

Date 2019 Apr 11

PMID 30967609

Citations 6

Authors

Sylvain Iceta

Julien Benoit

Philippe Cristini

Stephanie Lambert-Porcheron

Berenice Segrestin

Martine Laville

Emmanuel Poulet

Emmanuel Disse

Affiliations

Soon will be listed here.

Abstract

Background/objective: In obesity there is growing evidence for common mechanism between food intake regulation and substance use disorders, especially more attentional bias and less cognitive control. In the present study we investigated whether severely obese subjects with or without disordered eating exhibit electroencephalographic (EEG) event-related potential (ERP) modifications as observed in substance abusers.

Subjects/methods: A total of 90 women were included; 30 in the normal-weight (NW) group (18.5 < BMI < 24.5 kg/m; no food disinhibition or restriction on the Three-Factor Eating Questionnaire) and 60 participants with BMI ≥ 35 kg/m were separated into two groups (n = 30): without food disinhibition (disinhibition score ≤8; ObFD- group) and with food disinhibition (score >8; ObFD+). Clinical and metabolic parameters as well as compartmental aspects (Eating Disorders Inventory-2, EDI-2) were assessed. Participants underwent an ERP recording with an auditory oddball paradigm.

Results: The mean ± SD P300 amplitudes in Pz were significantly (p < 0.05) lower in ObFD- (12.4 ± 4.6) and ObFD+ (12.5 ± 4.4) groups than in the NW group (15.8 ± 5.9). The mean ± SD N200 amplitude in Cz was significantly lower in the ObFD- group (-2.0 ± 5.4) than in the NW group (-5.2 ± 4.2 vs; p = 0.035). N200 Cz amplitude was correlated with EDI-2 Binge eating risk score (ρ = 0.331; p = 0.01), EDI-2 Body Dissatisfaction score (ρ = 0.351; p = 0.007), and Drive for Thinness score (ρ = 0.26; p = 0.05).

Conclusions: The present study provides evidence for reduction of P300 and N200 amplitude in obese women and that N200 amplitude may be related to more disordered eating and eating disorder risk. This leads to consider attentional bias and response inhibition as core mechanisms in obesity and as possible targets for new therapeutic strategy.

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References

Wiss D, Brewerton T . Incorporating food addiction into disordered eating: the disordered eating food addiction nutrition guide (DEFANG). Eat Weight Disord. 2016; 22(1):49-59. PMC: 5334442. DOI: 10.1007/s40519-016-0344-y. View

Stojek M, MacKillop J . Relative reinforcing value of food and delayed reward discounting in obesity and disordered eating: A systematic review. Clin Psychol Rev. 2017; 55:1-11. DOI: 10.1016/j.cpr.2017.04.007. View

Volkow N, Wise R, Baler R . The dopamine motive system: implications for drug and food addiction. Nat Rev Neurosci. 2017; 18(12):741-752. DOI: 10.1038/nrn.2017.130. View

Ziauddeen H, Alonso-Alonso M, Hill J, Kelley M, Khan N . Obesity and the neurocognitive basis of food reward and the control of intake. Adv Nutr. 2015; 6(4):474-86. PMC: 4496739. DOI: 10.3945/an.115.008268. View

Kalivas P, Volkow N . The neural basis of addiction: a pathology of motivation and choice. Am J Psychiatry. 2005; 162(8):1403-13. DOI: 10.1176/appi.ajp.162.8.1403. View

Dawe S, Gullo M, Loxton N . Reward drive and rash impulsiveness as dimensions of impulsivity: implications for substance misuse. Addict Behav. 2004; 29(7):1389-405. DOI: 10.1016/j.addbeh.2004.06.004. View

Lavagnino L, Arnone D, Cao B, Soares J, Selvaraj S . Inhibitory control in obesity and binge eating disorder: A systematic review and meta-analysis of neurocognitive and neuroimaging studies. Neurosci Biobehav Rev. 2016; 68:714-726. DOI: 10.1016/j.neubiorev.2016.06.041. View

Booth C, Spronk D, Grol M, Fox E . Uncontrolled eating in adolescents: The role of impulsivity and automatic approach bias for food. Appetite. 2017; 120:636-643. PMC: 5689136. DOI: 10.1016/j.appet.2017.10.024. View

Brooks S, Lochner C, Shoptaw S, Stein D . Using the research domain criteria (RDoC) to conceptualize impulsivity and compulsivity in relation to addiction. Prog Brain Res. 2017; 235:177-218. DOI: 10.1016/bs.pbr.2017.08.002. View

10.

Motlagh F, Ibrahim F, Michael Menke J, Rashid R, Seghatoleslam T, Habil H . Neuroelectrophysiological approaches in heroin addiction research: A review of literatures. J Neurosci Res. 2016; 94(4):297-309. DOI: 10.1002/jnr.23703. View

11.

Campanella S, Pogarell O, Boutros N . Event-related potentials in substance use disorders: a narrative review based on articles from 1984 to 2012. Clin EEG Neurosci. 2013; 45(2):67-76. DOI: 10.1177/1550059413495533. View

13.

Buzzell G, Fedota J, Roberts D, Mcdonald C . The N2 ERP component as an index of impaired cognitive control in smokers. Neurosci Lett. 2014; 563:61-5. DOI: 10.1016/j.neulet.2014.01.030. View

14.

Euser A, Arends L, Evans B, Greaves-Lord K, Huizink A, Franken I . The P300 event-related brain potential as a neurobiological endophenotype for substance use disorders: a meta-analytic investigation. Neurosci Biobehav Rev. 2011; 36(1):572-603. DOI: 10.1016/j.neubiorev.2011.09.002. View

15.

Polich J . Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol. 2007; 118(10):2128-48. PMC: 2715154. DOI: 10.1016/j.clinph.2007.04.019. View

16.

Littel M, Euser A, Munafo M, Franken I . Electrophysiological indices of biased cognitive processing of substance-related cues: a meta-analysis. Neurosci Biobehav Rev. 2012; 36(8):1803-16. DOI: 10.1016/j.neubiorev.2012.05.001. View

17.

Hill S, OBrien J . Psychological and Neurobiological Precursors of Alcohol Use Disorders in High Risk Youth. Curr Addict Rep. 2015; 2(2):104-113. PMC: 4540406. DOI: 10.1007/s40429-015-0051-1. View

18.

Pires L, Leitao J, Guerrini C, Simoes M . Event-related brain potentials in the study of inhibition: cognitive control, source localization and age-related modulations. Neuropsychol Rev. 2014; 24(4):461-90. DOI: 10.1007/s11065-014-9275-4. View

19.

Kok A, Ramautar J, de Ruiter M, Band G, Ridderinkhof K . ERP components associated with successful and unsuccessful stopping in a stop-signal task. Psychophysiology. 2003; 41(1):9-20. DOI: 10.1046/j.1469-8986.2003.00127.x. View

20.

Larson M, Clayson P, Clawson A . Making sense of all the conflict: a theoretical review and critique of conflict-related ERPs. Int J Psychophysiol. 2014; 93(3):283-97. DOI: 10.1016/j.ijpsycho.2014.06.007. View

21.

Franken I, Luijten M, van der Veen F, Van Strien J . Cognitive control in young heavy drinkers: An ERP study. Drug Alcohol Depend. 2017; 175:77-83. DOI: 10.1016/j.drugalcdep.2017.01.036. View