Literature DB >> 2784363

Topographic mapping of quantitative EEG variables in chronic heavy marihuana users: empirical findings with psychiatric patients.

F A Struve1, J J Straumanis, G Patrick, L Price.   

Abstract

EEG studies of marihuana use dating back to 1945 were reviewed. The earlier studies depended upon visual analysis of the tracing, and while some minor frequency and amplitude variations occurred in some subjects, there was no consistent THC induced change noticeable across subjects. Quantitative EEG studies of acute exposure to THC came later and produced reliable findings of a placebo controlled dose dependent THC induced increase in relative power of alpha, combined with decreased alpha frequency and a reduction of beta activity. These findings were reported for data collected from central-occipital derivations only. In our present investigation, we report that chronic heavy THC users have EEGs characterized by (1) increased absolute power of all frequencies over all cortical areas (2) hyperfrontality of elevated relative and absolute power and coherence values of alpha activity, and (3) a decrease in relative power of all non-alpha frequencies. Methodological issues were discussed and some suggestions were made for continuing research in this area.

Entities:  

Mesh:

Year:  1989        PMID: 2784363     DOI: 10.1177/155005948902000106

Source DB:  PubMed          Journal:  Clin Electroencephalogr        ISSN: 0009-9155


  8 in total

1.  Neurofeedback Effects on Evoked and Induced EEG Gamma Band Reactivity to Drug-related Cues in Cocaine Addiction.

Authors:  Timothy Horrell; Ayman El-Baz; Joshua Baruth; Allan Tasman; Guela Sokhadze; Christopher Stewart; Estate Sokhadze
Journal:  J Neurother       Date:  2010-07

2.  Genome-wide association analysis links multiple psychiatric liability genes to oscillatory brain activity.

Authors:  Dirk J A Smit; Margaret J Wright; Jacquelyn L Meyers; Nicholas G Martin; Yvonne Y W Ho; Stephen M Malone; Jian Zhang; Scott J Burwell; David B Chorlian; Eco J C de Geus; Damiaan Denys; Narelle K Hansell; Jouke-Jan Hottenga; Matt McGue; Catharina E M van Beijsterveldt; Neda Jahanshad; Paul M Thompson; Christopher D Whelan; Sarah E Medland; Bernice Porjesz; William G Lacono; Dorret I Boomsma
Journal:  Hum Brain Mapp       Date:  2018-06-26       Impact factor: 5.038

3.  EEG of chronic marijuana users during abstinence: relationship to years of marijuana use, cerebral blood flow and thyroid function.

Authors:  Ronald I Herning; Warren Better; Jean L Cadet
Journal:  Clin Neurophysiol       Date:  2007-12-11       Impact factor: 3.708

4.  Subtyping of psychiatric patients by cluster analysis of QEEG.

Authors:  E R John; L S Prichep; M Almas
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

5.  QEEG profiles of psychiatric disorders.

Authors:  L S Prichep; E R John
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

6.  EEG spectral phenotypes: heritability and association with marijuana and alcohol dependence in an American Indian community study.

Authors:  Cindy L Ehlers; Evelyn Phillips; Ian R Gizer; David A Gilder; Kirk C Wilhelmsen
Journal:  Drug Alcohol Depend       Date:  2009-09-12       Impact factor: 4.492

Review 7.  EEG biofeedback as a treatment for substance use disorders: review, rating of efficacy, and recommendations for further research.

Authors:  Tato M Sokhadze; Rex L Cannon; David L Trudeau
Journal:  Appl Psychophysiol Biofeedback       Date:  2008-01-24

8.  Quantitative Electroencephalography Analysis (qEEG) of Neuro-Electro-Adaptive Therapy 12™ [NEAT12] Up-Regulates Cortical Potentials in an Alcoholic during Protracted Abstinence: Putative Anti-Craving Implications.

Authors:  Roger L Waite; Marlene Oscar-Berman; Eric RBraverman; Debmalya Barh; Kenneth Blum
Journal:  J Addict Res Ther       Date:  2014
  8 in total

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