Literature DB >> 8465670

Interhemispheric electroencephalographic coherence as a biological marker in alcoholism.

A Michael1, K A Mirza, C R Mukundan, S M Channabasavanna.   

Abstract

Electroencephalographic coherence scores in 21 teetotaler first-degree relatives of alcoholics, 27 subjects with alcohol dependence and 21 healthy subjects without a family history of alcohol abuse were compared. The relatives had significantly higher coherence scores in the frontal and parietal leads than the alcoholics and in the frontal and centroparietal leads than in the healthy subjects. This might represent a trait marker of resilience in subjects at high risk for the development of alcoholism.

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Year:  1993        PMID: 8465670     DOI: 10.1111/j.1600-0447.1993.tb03358.x

Source DB:  PubMed          Journal:  Acta Psychiatr Scand        ISSN: 0001-690X            Impact factor:   6.392


  14 in total

1.  Neurocognitive deficits in male alcoholics: an ERP/sLORETA analysis of the N2 component in an equal probability Go/NoGo task.

Authors:  A K Pandey; C Kamarajan; Y Tang; D B Chorlian; B N Roopesh; N Manz; A Stimus; M Rangaswamy; B Porjesz
Journal:  Biol Psychol       Date:  2011-10-21       Impact factor: 3.251

2.  An EEG-based machine learning method to screen alcohol use disorder.

Authors:  Wajid Mumtaz; Pham Lam Vuong; Likun Xia; Aamir Saeed Malik; Rusdi Bin Abd Rashid
Journal:  Cogn Neurodyn       Date:  2016-10-24       Impact factor: 5.082

Review 3.  A review on EEG-based methods for screening and diagnosing alcohol use disorder.

Authors:  Wajid Mumtaz; Pham Lam Vuong; Aamir Saeed Malik; Rusdi Bin Abd Rashid
Journal:  Cogn Neurodyn       Date:  2017-12-05       Impact factor: 5.082

Review 4.  Uncovering genes for cognitive (dys)function and predisposition for alcoholism spectrum disorders: a review of human brain oscillations as effective endophenotypes.

Authors:  Madhavi Rangaswamy; Bernice Porjesz
Journal:  Brain Res       Date:  2008-06-24       Impact factor: 3.252

5.  Cannabis users exhibit increased cortical activation during resting state compared to non-users.

Authors:  Shikha Prashad; Elizabeth S Dedrick; Francesca M Filbey
Journal:  Neuroimage       Date:  2018-06-09       Impact factor: 6.556

Review 6.  Understanding alcohol use disorders with neuroelectrophysiology.

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

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

9.  Structural Changes in the Insular Cortex in Alcohol Dependence: A cross sectional study.

Authors:  Somsubhra Chattopadhyay; Mona Srivastava; Adya Shanker Srivastava; Arvind Srivastava
Journal:  Iran J Psychiatry       Date:  2011

Review 10.  Advances in Electrophysiological Research.

Authors:  Chella Kamarajan; Bernice Porjesz
Journal:  Alcohol Res       Date:  2015
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