Literature DB >> 1755520

EEG characteristics in males at risk for alcoholism.

H L Cohen1, B Porjesz, H Begleiter.   

Abstract

Baseline EEG activity was recorded with eyes closed in 15 males, aged 19 to 24 at risk (HR = high risk) for the development of alcoholism and 15 matched controls (LR = low risk). Four EEG frequency bands were examined: slow alpha (7.5-10 Hz), fast alpha (10.25-12.75 Hz), slow beta (13-19.5 Hz) and fast beta (19.75-26 Hz). The HR and LR groups were compared on four measures of EEG activity for each frequency band: band power, absolute and relative area and laterality differences. Statistical analysis of the data via ANOVA revealed no significant difference between the HR and LR groups for any comparison. The results indicate that EEG measures prior to alcohol administration do not effectively discriminate between individuals at high and low risk for alcoholism.

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Year:  1991        PMID: 1755520     DOI: 10.1111/j.1530-0277.1991.tb00613.x

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  6 in total

1.  Support vector machine and fuzzy C-mean clustering-based comparative evaluation of changes in motor cortex electroencephalogram under chronic alcoholism.

Authors:  Surendra Kumar; Subhojit Ghosh; Suhash Tetarway; Rakesh Kumar Sinha
Journal:  Med Biol Eng Comput       Date:  2015-03-13       Impact factor: 2.602

2.  EEG spectral changes in treatment-naive, actively drinking alcoholics.

Authors:  George Fein; Jennifer Allen
Journal:  Alcohol Clin Exp Res       Date:  2005-04       Impact factor: 3.455

3.  Heritability and molecular-genetic basis of resting EEG activity: a genome-wide association study.

Authors:  Stephen M Malone; Scott J Burwell; Uma Vaidyanathan; Michael B Miller; Matt McGue; William G Iacono
Journal:  Psychophysiology       Date:  2014-12       Impact factor: 4.016

4.  Association of EEG alpha variants and alpha power with alcohol dependence in Mexican American young adults.

Authors:  Cindy L Ehlers; Evelyn Phillips
Journal:  Alcohol       Date:  2007-02       Impact factor: 2.405

Review 5.  Understanding alcohol use disorders with neuroelectrophysiology.

Authors:  Madhavi Rangaswamy; Bernice Porjesz
Journal:  Handb Clin Neurol       Date:  2014

Review 6.  Alcoholism: the dissection for endophenotypes.

Authors:  Lisa M Hines; Lara Ray; Kent Hutchison; Boris Tabakoff
Journal:  Dialogues Clin Neurosci       Date:  2005       Impact factor: 5.986

  6 in total

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