Variation in the electrical activity of the prefrontal, frontal and temporal cortex in Cannabis users
DOI:
https://doi.org/10.17533/udea.acbi.v39n106a06Keywords:
Brain electrical activity, Bogotá, Cannabis, tolerance, university consumersAbstract
This research assessed the variation in the electrical activity of the prefrontal, frontal and temporal on the cerebral cortex in EEG records from college Cannabis-user residents in Bogota, during and in the absence of Cannabis use, contrasted with a control population of non-users. It was evident that the effects of Cannabis in brain electrical activity during the consume cause the increase of alpha activity, indicating states of relax and low concentration; also, an increase in beta activity, related to the reception of different stimulus and decrease of delta activity generated by the rewarding after the use. In the absence of consumption, delta waves increasing in comparison with the control group, waves associated with anxiety states. Furthermore, it was noticed that the prolonged and frequent use of this substance generates tolerance, without variation in brain activity during and in the absence of Cannabis use. In the same way, the presence in a greater proportion of theta waves in the absence of consumption compared to nonusers, suggesting that after the prolonged use of the substance consumers tend to manifest constant sleepiness and drowsiness.
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References
Arbaiza del Rio M. 2014. Alteraciones cognitivas, conectividad funcional y personalidad en el drogodependiente [Tesis doctoral]. [Madrid (España)]: Facultad de Psicología, Departamento de psicología básica II, Universidad Complutense de Madrid. p. 111.
Bazanova O y Vernon D. 2014. Interpreting EEG Alpha Activity. Neuroscience and Biobehavioral Reviews, 44: 94-110.
Ceballos N, Bauer L, Houston R. 2009. Recent EEG and ERP Findings in Substance Abusers. Clinical EEG and Neuroscience, 40 (2): 122 128.
Constant I, Sabourdin N. 2012. The EEG signal: a window on the cortical brain activity. Pediatric Anesthesia, 22 (6): 539–532.
Ehlers C, Phillips E, Gizer I, Gilder D, Wilhelmsen K. 2010. EEG spectral phenotypes: Heritability and association with marijuana and alcohol dependence in an American Indian community study. Drug and Alcohol Dependence, 106 (2-3): 101–110.
Fagundo A, Martín-Santos R, Abanades S, Farré M, Verdejo-García A. 2008. Neuroimagen y adicción II: Correlatos neuroanatómicos y funcionales de la administración aguda, el craving y el consumo crónico de opiáceos, alcohol y Cannabis. Revista Española de Drogodependencia, 33 (2): 125–149.
Franco M. 2007. Manual de Electrocardiografía y Electroencefalografía. México: Manual Moderno. p. 281.
Gil-Nagel A, Parra J, Iriarte J, Kenner A. 2001. Manual de electroencefalografía. Madrid (España): McGraw-Hill/Interamericana de España. p. 499.
Fernandez-Guardiola A, Salgado A, Contreras CM, Condes M, Gonzales- Estrado MT, Solis H, Calvo JM, Ayala F. 1976. Multiunit Activity and Polygraphic Recordings of the Pharmacological Effects of delta 9-Tetrahydrocannabinol. En: The Pharmacology of Marihuana. Braude MC and Szara S editors. New York: Raven Press. p. 335-344.
Hart C, Ilan A, Gevins A, Gunderson E, Role K, Colley J, Foltin R. 2010. Neurophysiological and cognitive effects of smoked marijuana in frequent users. Pharmacology Biochemistry and Behavior, 96 (3): 333-341.
Herning R, Better W, Cadet J. 2008. EEG of chronic marijuana users during abstinence: Relationship to years of marijuana use, cerebral blood flow and thyroid function. Clinical Neurophysiology, 119 (2): 321-331.
Ilan A, Smith M, Gevins A. 2004. Effects of marijuana on neurophysiological signals of working and episodic memory. Psychopharmacology, 176 (2): 214-222.
Knyazev G. 2012. EEG delta oscillations as a correlate of basic homeostatic and motivational processes. Neuroscience and Biobehavioral Reviews, 36 (1), 677-695.
Nelson P. 1993. A critical review of the research literature concerning some biological and psychological effects of Cannabis. Cannabis and the law in Queensland: A discussion paper. [Internet], 113-152. Fecha de acceso: 01 de enero de 2015. Disponible en: <http://www.ukcia.org/research/ReviewOfResearchLiteratureConcerningEffectsOfCannabis.php>.
Quesada M, Díaz G, Herrera A, Tamayo M, Rubio R. 2007. Características del electroencefalograma cuantitativo y trastornos cognitivos en pacientes alcohólicos. Revista de Neurología, 44: 81-88.
Sadock B, Kaplan H, Sadock V. 2007. Substance-Related Disorders: Introduction and Overview. En: Synopsis of Psychiatry: Behavioral Sciences/Clinical Psychiatry. 10a Edición. Philadelphia: Wolters Kluwer; Lippincott Williams y Wilkins. p. 381-464.
Sagredo O. 2011. Efectos farmacológicos y fisiológicos del consumo de Cannabis. Trastornos Adictivos, 13 (3): 94-96.
Sanei S, Chambers J. 2007. EEG signal proccesing. Inglaterra: Jhon Wiley and Sons editores. p. 312.
Struve F, Straumanis J, Patrick G, Price L. 1989. Topographic mapping of quantitative EEG variables in heavy marihuana users: empirical findings with psychiatric patients. Clinical Electroencephalogram, 20 (1): 6-23.
Struve F, Straumanis J, Patrick G. 1993. Altered quantitative EEG topography as sequelae of chronic THC exposure: a replication using screened normals. En: Harris L (ed). Problems of Drug Dependence 1992, National Institute on Drug Abuse. Research Monograph No. 132. Washington DC: US Government Printing Office, 132.
Struve F, Straumanis J, Patrick G. 1994. Persistent topographic quantitative EEG sequelae of chronic marihuana use: a replication study and initial discriminant function analysis. Clinical Electroencephalogram, 25 (2): 63-75.
Struve F, Manno B, Kemp P, Patrick G. 1996. Change in quantitative EEG “alpha hyperfrontality” during and following inhalation of THC. En: Harris L. Problems of drug dependence. Proceedings of the 57th annual scientific meeting, college on problems of drug dependence. NIDA Research Monograph No. 162 NIH Publication No. 96-4116, p. 292.
Struve F, Patrick G, Straumanis J, Fitz-Gerald M, Manno J. 1998.Possible EEG sequelae of very long duration marihuana use: pilot findings from topographic quantitative EEG analyses of subjects with 15 to 24 years of cumulative daily exposure to THC. Clinical Electroencephalography, 29 (1): 31-36.
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