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Addicted to compulsion: assessing three core dimensions of addiction across obsessive-compulsive disorder and gambling disorder

Published online by Cambridge University Press:  20 May 2019

Giacomo Grassi*
Affiliation:
University of Florence, Department of Neuroscience, Psychology, Drug Research and Child Health – Neurofarba, Florence, Italy Institute of Neuroscience, CNS onlus, Florence, Italy
Nikos Makris
Affiliation:
Center for Morphometric Analysis, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, USA
Stefano Pallanti
Affiliation:
Department of Psychiatry and Behavioral Science, Stanford University Medical Center, Stanford, CA, USA Institute of Neuroscience, CNS onlus, Florence, Italy
*
* Address correspondence to: Giacomo Grassi, M.D., University of Florence, Department of Neurofarba, via delle Gore 2H, 50141Florence, Italy. (Email: giacomograssimd@gmail.com)

Abstract

Objective

Several studies suggested that obsessive-compulsive disorder (OCD) patients display increased impulsivity, impaired decision-making, and reward system dysfunction. In a Research Domain Criteria (RDoC) perspective, these findings are prototypical for addiction and have led some authors to view OCD as a behavioral addiction. Thus, the aim of this study was to investigate similarities and differences on impulsivity, decision-making, and reward system, as core dimensions of addiction, across OCD and gambling disorder (GD) patients.

Methods

Forty-four OCD patients, 26 GD patients, and 40 healthy controls (HCs) were included in the study. Impulsivity was assessed through the Barratt Impulsiveness Scale, decision-making through the Iowa Gambling Task, and reward system through a self-report clinical instrument (the Shaps-Hamilton Anhedonia Scale) assessing hedonic tone and through an olfactory test assessing hedonic appraisal to odors.

Results

Both OCD and GD patients showed increased impulsivity when compared to HCs. More specifically, the OCD patients showed cognitive impulsivity, and the GD patients showed both increased cognitive and motor impulsivity. Furthermore, both OCD and GD patients showed impaired decision-making performances when compared to HCs. Finally, GD patients showed increased anhedonia and blunted hedonic response to pleasant odors unrelated to gambling or depression/anxiety symptoms, while OCD patients showed only increased anhedonia levels related to OC and depression/anxiety symptoms.

Conclusion

OCD patients showed several similarities and some differences with GD patients when compared to HCs on impulsivity, decision-making, and reward system, three core dimensions of addiction. These results could have relevant implications for the research of new treatment targets for OCD.

Type
Original Research
Copyright
© Cambridge University Press 2019

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Footnotes

Research reported in this publication was supported by the National Institute on Drug Abuse of the National Institutes of Health under Award Number R21DA042271 (NM and SP). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

References

References:

Prochazkova, L, Parkes, L, Dawson, Aet al. Unpacking the role of self-reported compulsivity and impulsivity in obsessive-compulsive disorder. CNS Spectr. 2018; 23(1): 5158.Google Scholar
Grassi, G, Figee, M, Ooms, Pet al. Impulsivity and decision-making in obsessive-compulsive disorder after effective deep brain stimulation or treatment as usual. CNS Spectr. 2018; 4: 17.Google Scholar
Grassi, G, Pallanti, S, Righi, Let al. Think twice: impulsivity and decision making in obsessive-compulsive disorder. J Behav Addict. 2015; 4(4): 263272.Google Scholar
Benatti, B, Dell’Osso, B, Arici, Cet al. Characterizing impulsivity profile in patients with Obsessive-Compulsive Disorder. Int J Psychiatry Clin Pract. 2014; 18(3): 156160.Google Scholar
Figee, M, Vink, M, de Geus, Fet al. Dysfunctional reward circuitry in obsessive-compulsive disorder. Biol Psychiatry. 2011; 69(9): 867874.Google Scholar
Cavedini, P, Zorzi, C, Piccini, Met al. Executive dysfunctions in obsessive-compulsive patients and unaffected relatives: searching for a new intermediate phenotype. Biol Psychiatry. 2010; 67(12): 11781184.Google Scholar
Chamberlain, SR, Fineberg, NA, Menzies, LAet al. Impaired cognitive flexibility and motor inhibition in unaffected first-degree relatives of patients with obsessive-compulsive disorder. Am J Psychiatry. 2007; 164(2): 335338.Google Scholar
Denys, D.Obsessionality and compulsivity: a phenomenology of obsessive compulsive disorder. Philosophy, Ethics, and Humanities in Medicine. 2011; 6: 3.Google Scholar
Ferreira, GM, Yücel, M, Dawson, Aet al. Investigating the role of anticipatory reward and habit strength in obsessive-compulsive disorder. CNS Spectr. 2017; 9: 110.Google Scholar
Grant, JE, Odlaug, BL, Chamberlain, SR.Neural and psychological underpinnings of gambling disorder: a review. Prog Neuropsychopharmacol Biol Psychiatry. 2016; 65: 188193.Google Scholar
First, MB, Spitzer, RL, Gibbon, M, Williams, JBW. Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Patient Edition (SCID-I/P). New York: Biometrics Research, New York State Psychiatric Institute; 2002.Google Scholar
First, MB, Gibbon, M, Spitzer, RLet al. Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II). Washington, DC: American Psychiatry Press Inc; 1997.Google Scholar
First, MB, Spitzer, RL, Gibbon, Met al. Structured Clinical Interview for DSM-IV TR Axis I Disorders, Research Version, Non-patient Edition (SCID-I/NP). New York: Biometrics Research, New York State Psychiatric Institute; 2002.Google Scholar
Goodman, WK, Price, LH, Rasmussen, SAet al. The Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), part I: development, use, and reliability. Arch Gen Psychiatry. 1898; 46: 10061011.Google Scholar
Goodman, WK, Price, LH, Rasmussen, SAet al. The Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), part II: validity. Arch Gen Psychiatry. 1989; 46: 10121016.Google Scholar
Pallanti, S, DeCaria, CM, Grant, JEet al. Reliability and validity of the pathological gambling adaptation of the Yale-Brown Obsessive-Compulsive Scale (PG-YBOCS). J Gambl Stud. 2005; 21(4): 431443.Google Scholar
Brakoulias, V, Starcevic, V, Berle, Det al. Further support for five dimensions of obsessive- compulsive symptoms. J Nerv Ment Dis. 2013; 201: 452459.Google Scholar
Hamilton, M.The assessment of anxiety states by rating. Br J Med Psychol. 1959; 32: 5055.Google Scholar
Hamilton, M.Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol. 1967; 6(4): 278296.Google Scholar
Sartori, G, Colombo, L, Vallar, Get al. T.I.B.: Test di Intelligenza Breve per la valutazione del quoziente intellettivo attuale e pre-morboso. La Professione di Psicologo. 1997; 1: IIXXIV.Google Scholar
Heatherton, TF, Kozlowski, LT, Frecker, RCet al. The Fagerström test for nicotine dependence: a revision of the Fagerström tolerance questionnaire. Br J Addict. 1991; 86: 11191127.Google Scholar
Patton, JH, Stanford, MS, Barratt, ES.Factor structure of the Barratt Impulsiveness Scale. J Clin Psychol. 1995; 51: 768774.Google Scholar
Fossati, A, Di Ceglie, A, Acquarini, Eet al. Psychometric properties of an Italian version of the Barratt Impulsiveness Scale-11 (BIS-11) in nonclinical subject. J Clin Psychol. 2001; 57: 815828.Google Scholar
Brand, M, Labudda, K, Markowitsch, Het al. Neuropsychological correlates of decision-making in ambiguous and risky situations. Neural Netw. 2007; 19: 12661276.Google Scholar
Brand, M, Recknor, EC, Grabenhorst, Fet al. Decision under ambiguity and decision under risk: Correlations with executive functions and comparisons of two different gambling tasks with implicit and explicit rules. J Clin Exp Neuropsychol. 2007; 29(1): 8699.Google Scholar
Cavedini, P, Zorzi, C, Baraldi, Cet al. The somatic marker affecting decisional processes in obsessive-compulsive disorder. Cognitive Neuropsychiatry. 2012; 17(2): 177190.Google Scholar
Bechara, A, Damasio, AR, Damasio, Het al. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994; 50: 715.Google Scholar
Struglia, F, Stratta, P, Gianfelice, Det al. Decision making impairment in schizophrenia: relationships with positive symptomatology. Neurosci Lett. 2011; 502: 8083.Google Scholar
Tomassini, AR, Struglia, F, Spaziani, Det al. Decision making, impulsivity and personality traits in alcohol dependent subjects. Am J Addict. 2012; 21: 263267.Google Scholar
Anderson, AK, Christoff, K, Stappen, Iet al. Dissociated neural representations of intensity and valence in human olfaction. Nature Neuroscience. 2003; 6(2): 196202.Google Scholar
Fagundo, AB, Jiménez-Murcia, S, Giner-Bartolomé, Cet al. Modulation of higher-order olfaction components on executive functions in humans. PLoS One. 2015; 10(6): e0130319.Google Scholar
Mesholam-Gately, RI, Gibson, LE, Seidman, LJet al. Schizophrenia and co-occurring substance use disorder: reward, olfaction and clozapine. Schizophrenia Res. 2014; 155(1–3): 4551.Google Scholar
Snaith, RP, Hamilton, M, Morley, Set al. A scale for the assessment of the hedonic tone: the Snaith-Hamilton Pleasure Scale. British J Psych. 1995; 167: 99103.Google Scholar
Santangelo, G, Morgante, L, Savica, Ret al. Anhedonia and cognitive impairment in Parkinson’s disease: Italian validation of the Snaith-Hamilton Pleasure Scale and its application in the clinical routine practice during the PRIAMO study. Parkinsonism Relat Disord. 2009; 15(8): 576581.Google Scholar
Steinbach, S, Hummel, T, Böhner, Cet al. Qualitative and quantitative assessment of taste and smell changes in patients undergoing chemotherapy for breast cancer or gynecologic malignancies. J Clin Oncol. 2009; 27(11): 18991905.Google Scholar
Ettelt, S, Ruhrmann, S, Barnow, Set al. Impulsiveness in obsessive-compulsive disorder: results from a family study. Acta Psychiatrica Scandinavica. 2007; 115(1): 4147.Google Scholar
Chowdhury, NS, Livesey, EJ, Blaszczynski, Aet al. Pathological gambling and motor impulsivity: a systematic review with meta-analysis. J Gambl Stud. 2017; 33(4): 12131239.Google Scholar
Kovács, I, Richman, MJ, Janka, Zet al. Decision making measured by the Iowa Gambling Task in alcohol use disorder and gambling disorder: a systematic review and meta-analysis. Drug Alcohol Depend. 2017; 181: 152161.Google Scholar
Zhang, L, Dong, Y, Ji, Yet al. Trait-related decision-making impairment in obsessive-compulsive disorder: evidence from decision making under ambiguity but not decision making under risk. Sci Rep. 2015; 5:17311732.Google Scholar
Abramovitch, A, Pizzagalli, DA, Reuman, Let al. Anhedonia in obsessive-compulsive disorder: beyond comorbid depression. Psychiatry Res. 2014; 216(2): 223229.Google Scholar
Luijten, M, Schellekens, AF, Kühn, Set al. Disruption of reward processing in addiction: an image-based meta-analysis of functional magnetic resonance imaging studies. JAMA Psychiatry. 2017; 74(4): 387398.Google Scholar
Denys, D, Mantione, M, Figee, Met al. Deep brain stimulation of the nucleus accumbens for treatment-refractory obsessive-compulsive disorder. Arch Gen Psychiatry. 2010; 67(10): 10611068.Google Scholar
Figee, M, Luigjes, J, Smolders, Ret al. Deep brain stimulation restores frontostriatal network activity in obsessive-compulsive disorder. Nat Neurosci. 2013; 16(4): 386387.Google Scholar
Pallanti, S, Marras, A, Grassi, G.Outcomes with Neuromodulation in obsessive-compulsive disorder. Psychiatric Annals. 2015; 45(6): 316320Google Scholar
Pallanti, S, Marras, A, Salerno, Let al. Better than treated as usual: transcranial magnetic stimulation augmentation in selective serotonin reuptake inhibitor-refractory obsessive-compulsive disorder, mini-review and pilot open-label trial. J Psychopharmacol. 2016; 30(6): 568578.Google Scholar
Pallanti, S, Hollander, E.Pharmacological, experimental therapeutic, and transcranial magnetic stimulation treatments for compulsivity and impulsivity. CNS Spectr. 2014; 19(1): 5061.Google Scholar