Pedro Gamito
ABSTRACT
Heroin addiction has a negative impact on cognitive functions, and recovering addicts suffer from cognitive impairment. Traditional cognitive rehabilitation approaches suffer from limited motivational appeal and are relatively cumbersome to carry out. We report a study testing on an alternative mHealth approach using tablets and serious games to stimulate cognitive functions. In order to test the efficacy of these methods, a small scale cognitive training program was run with a sample of male heroin addicts who were undergoing a rehabilitation program for heroin addiction as inpatients at a local NGO. The results were promising and highlight the need for randomized control trials to clearly ascertain the efficacy of this alternative approach to cognitive rehabilitation programs.
- UNODC (2012). World Drug Report 2013. United Nations publication. e-ISBN: 978-92-1-055653-8.Google Scholar
- NSDUH (2012). National Survey on Drug Use and Health 2012. Substance Abuse and Mental Health Data Archive (SAMHDA). Available online at: http://doi.org/10.3886/ICPSR34933.v2.Google Scholar
- Oldendorf WH, Hyman S, Braun L, Oldendorf SZ. 1972. Blood-brain barrier: penetration of morphine, codeine, heroin, and methadone after carotid injection. Science. 1;178(4064):984--6.Google Scholar
- Sawynok J (1986). "The therapeutic use of heroin: a review of the pharmacological literature". Can. J. Physiol. Pharmacol. 64 (1): 1--6.Google ScholarCross Ref
- Stahl SM (2008). Essential Psychopharmacology: Neuroscientific Basis and Practical Applications. Cambridge University Press.Google Scholar
- Schmidt A, Borgwardt S, Gerber H, Wiesbeck GA, Schmid O, Riecher-Rössler A, Smieskova R, Lang UE, Walter M. (2014). Acute effects of heroin on negative emotional processing: relation of amygdala activity and stress-related responses. Biol Psychiatry, 76(4):289--96.Google ScholarCross Ref
- Ersche KD, Clark L, London M, Robbins TW & Sahakian BJ (2006). Profile of executive and memory function associated with amphetamine and opiate dependence. Neuropsychopharmacology 31 (5): 1036--1047.Google ScholarCross Ref
- Pirastu M, Fais R, Messina M, Bini V, Spiga S, Falconieri D & Diana M. (2006). Impaired decision-making in opiate-dependent subjects: effect of pharmacological therapies. Drug and Alcohol Dependence 83:163--168.Google ScholarCross Ref
- Brand M, Roth-Bauer M, Driessen M & Markowitsch HJ (2008). Executive functions and risky decision-making in patients with opiate dependence. Drug and Alcohol Dependence 97 (1-2): 64--72.Google ScholarCross Ref
- Heather N, Greeley J. (1990). Cue exposure in the treatment of drug dependence: the potential of a new method for preventing relapse. Drug Alcohol Rev 9(2):155--68.Google ScholarCross Ref
- Passetti F, Clark L, Mehta MA, Joyce E, King M. (2008). Neuropsychological predictors of clinical outcome in opiate addiction. Drug and Alcohol Dependence 94: 82--91.Google ScholarCross Ref
- Ruiz-Sánchez de León JM, Pedrero-Pérez EJ, Rojo-Mota G, Llanero-Luque M, Puerta-García C. (2011). A proposal for a protocol of neuropsychological assessment for use in addictions. Rev Neurol, 53(8):483--493.Google Scholar
- Clare L, Woods RT (2004). Cognitive Training and Cognitive Rehabilitation for people with early-stage Alzheimer's disease: a review. Neuropsychological Rehabilitation, 14:385--401.Google ScholarCross Ref
- Willis SL1, Tennstedt SL, Marsiske M, Ball K, Elias J, Koepke KM, Morris JN, Rebok GW, Unverzagt FW, Stoddard AM, Wright E; ACTIVE Study Group (2006). Long-term effects of cognitive training on everyday functional outcomes in older adults. JAMA. Dec 20;296(23):2805--14.Google Scholar
- Lange B, Requejo P, Flynn S, Rizzo A, Valero-Cuevas F, Baker L, Winstein C (2010). The potential of virtual reality and gaming to assist successful aging with disability. Phys Med Rehabil Clin N Am, 21(2):339--56.Google Scholar
- Gamito P, Oliveira J, Morais D, Rosa P, Saraiva T (2011). Serious Games for Serious problems: from Ludicus to Therapeuticus. In Kim JJ. (Ed.) Virtual Reality. InTech, Publishing. 527--548.Google Scholar
- Gamito P, Oliveira J, Morais D, Rosa P, Saraiva T (2011). NeuAR -- a look into AR applications in the neurosciences area. In A. Nee & S. Ong (eds). Augmented Reality. INTECH. 131--154.Google Scholar
- Folstein MF, Folstein SE, McHugh PR. (1975). Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res, 12:189--198.Google ScholarCross Ref
- Derogatis LR, Savitz KL. (2000). The SCL-90-R and the Brief Symptom Inventory (BSI) in Primary Care In: M.E.Maruish, ed. Handbook of psychological assessment in primary care settings, Volume 236 Mahwah, NJ: Lawrence Erlbaum Associates, pp 297--334.Google Scholar
- Guerreiro M, Silva AP, Botelho MA, Leitão A, Castro-Caldas A Garcia C. (1994). Adaptação à população portuguesa da tradução do Mini-Mental State Examination (MMSE). Revista Portuguesa de Neurologia, 3(1):9--10.Google Scholar
- Dubois B, Slachevsky A, Litvan I, Pillon B. (2000). The FAB: a frontal assessment battery at bedside. Neurology, 55:1621--1626.Google ScholarCross Ref
- Heaton RK, Chelune GJ, Talley JL, Kay GG, Curtiss G (1993). Wisconsin card sorting test (WCST) --- manual revised and expanded. Odessa, FL: Psychological Assessment Resources.Google Scholar
- D'Elia L, Satz P, Uchiyama C, White T (1996). Color trails test professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
- Wechsler D (1987). Wechsler Memory Scale---Third edition manual. San Antonio, TX: Psychological Corporation.Google Scholar
- Osterrieth, PA (1944). "Filetest de copie d'une figure complex: Contribution a l'etude de la perception et de la memoire {The test of copying a complex figure: A contribution to the study of perception and memory}". Archives de Psychologie 30:286--356.Google Scholar
- Toulouse, E. & Pieron, H. (1986). Prueba perceptiva y de atencióón. Madrid, Spain: Tea Ediciones.Google Scholar
- Bechara A, Damásio AR, Damásio H, Anderson SW (1994). Insensitivity to future consequences following damage to human prefrontal cortex, Cognition 50 (1--3):7--15.Google Scholar
- Raven JC (1985). Manual for Raven's Progressive Matrices and Vocabulary Scales. London: H.K. Lewis.Google Scholar
- Kaplan RM, Saccuzzo DP. (2009). Standardized tests in education, civil service, and the military. Psychological testing: Principles, applications, and issues (7 ed. pp. 325--327). Belmont, CA: Wadsworth.Google Scholar
- Kaplan RM, Saccuzzo DP. (2009). Standardized tests in education, civil service, and the military. Psychological testing: Principles, applications, and issues (7 ed. pp. 325--327). Belmont, CA: Wadsworth.Google Scholar
- Beck AT, Steer RA & Brown GK (1996). BDI-II: Beck Depression Inventory Manual. San Antonio, TX: Psychological Corporation.Google Scholar
- Whiteside SP & Lynam DR (2001). The Five Factor Model and impulsivity: using a structural model of personality to understand impulsivity. Personality and Individual Differences, 30(4):669--689.Google Scholar
- Cyders, M.A., & Smith, G.T. (2007). Mood-based rash action and its components: Positive and negative urgency. Personality and Individual Differences, 43:839--850.Google ScholarCross Ref
- Gamito P, Oliveira J, Lopes P, Brito R, Morais D, Silva D, Silva A, Rebelo S, Bastos M, Deus A. (2014). Executive Functioning in Alcoholics Following an mHealth Cognitive Stimulation Program: Randomized Controlled Trial. J Med Internet Res, 16(4):e102.Google ScholarCross Ref
- Gamito P. 2013. URL:http://labpsicom.ulusofona.pt.Google Scholar
-
Computer-assisted therapy: cognitive training of heroin abusers
-
Recommendations
-
Individual Differences of Children with Autism in Robot-assisted Autism Therapy
HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot InteractionResearch has recognized the importance of individual differences of children with Autism Spectrum Disorder (ASD) that require interventions to meet their heterogeneous needs. This relatively large-scale study investigates a robot-assisted autism therapy ...
-
Male Partner Engagement in Family Planning SMS Conversations at Kenyan Health Clinics
COMPASS '18: Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable SocietiesMaternal health outreach and engagement is a common goal of mobile health (mHealth) projects for development. Male partners of pregnant and postpartum women are known to be important influences on their health behavior. This paper presents a novel ...
-
Robot Assisted Music Therapy: A Case Study with Children Diagnosed with Autism
HRI '16: The Eleventh ACM/IEEE International Conference on Human Robot InteractionMusic therapy is often used for children with autism to improve social interaction, communication, and imitation skills through music. Increasingly, music therapists have incorporated technology into therapy sessions as therapeutic tools. Robotics has ...
Comments