EEG pattern of smokers for Theta, Alpha and Beta band frequencies

This paper presents a study of EEG pattern for smokers based on Theta, Alpha and Beta Band power using Power Spectral Density (PSD). Smoking cigarettes is a bad habit, but the numbers of smokers keep growing. Most smokers gives ‘to release stress’ as a reason for smoking. The objective of this research is to investigate smokers' EEG pattern with the hypothesis that they will have higher Alpha Band power compared to non-smokers. 33 male smokers and 33 non-smokers were sampled for this research. EEG data was recorded for 5 minutes. Results shown that there is higher Theta Band power and higher Alpha Band power for smokers compared to non-smoker.

[1]  R. O’Reilly,et al.  Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain , 2000 .

[2]  R. Herning,et al.  Gender Differences in the EEG of Abstinent Cocaine Abusers , 2000, Neuropsychobiology.

[3]  Rex L. Cannon,et al.  EEG Biofeedback as a Treatment for Substance Use Disorders: Review, Rating of Efficacy, and Recommendations for Further Research , 2008, Applied psychophysiology and biofeedback.

[4]  M. Taib,et al.  Initial investigation of the Alpha and Beta bands for smokers using EEG , 2010, 2010 6th International Colloquium on Signal Processing & its Applications.

[5]  L. Bauer,et al.  Quantitative electroencephalographic differences associated with alcohol, cocaine, heroin and dual-substance dependence. , 1997, Drug and alcohol dependence.

[6]  Anna G Polunina,et al.  EEG spectral power and mean frequencies in early heroin abstinence , 2004, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[7]  J. Klein,et al.  Health-compromising behaviors: why do adolescents smoke or drink?: identifying underlying risk and protective factors. , 2000, Archives of pediatrics & adolescent medicine.

[8]  P. Gregersen,et al.  Metabolism and biochemical effects of nicotine for primary care providers. , 2004, The Medical clinics of North America.

[9]  M. Teplan.  FUNDAMENTALS OF EEG MEASUREMENT , 2002 .

[10]  Saeid Sanei,et al.  EEG signal processing , 2000, Clinical Neurophysiology.

[11]  D. Trudeau.  EEG Biofeedback for Addictive Disorders—The State of the Art in 2004 , 2005 .

[12]  Jane Hope,et al.  The Secret Language of the Soul , 1997 .

[13]  E. Stip,et al.  Sex differences in memory processing in schizophrenia: An event-related potential (ERP) study , 2009, Progress in Neuro-psychopharmacology and Biological Psychiatry.

[14]  R. Herning,et al.  Neurophysiological signs of cocaine dependence: Increased electroencephalogram beta during withdrawal , 1997, Biological Psychiatry.

[15]  J. Rohrbaugh,et al.  Beta power in the EEG of alcoholics , 2002, Biological Psychiatry.

[16]  Alexander A. Fingelkurts,et al.  Increased local and decreased remote functional connectivity at EEG alpha and beta frequency bands in opioid-dependent patients , 2006, Psychopharmacology.

[17]  Dmitry M Davydov,et al.  Heroin abusers' performance on the Tower of London Test relates to the baseline EEG alpha2 mean frequency shifts , 2004, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[18]  John Rohrbaugh,et al.  Resting EEG in offspring of male alcoholics: beta frequencies. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[19]  Saeid Sanei,et al.  Comprar EEG Signal Processing | Jonathon Chambers | 9780470025819 | Wiley , 2007 .