OBJECTIVE: This review attempts to differentiate neuroelectric measures (electroencephalogram (EEG), event-related potentials (ERPs) and event-related oscillations (EROs)) related to acute and chronic effects of alcohol on the brain from those that reflect underlying deficits related to the predisposition to develop alcoholism and related disorders. The utility of these neuroelectric measures as endophenotypes for psychiatric genetics is evaluated. METHODS: This article reviews the main findings of EEG and ERP abnormalities in alcoholics, offspring of alcoholics at high risk to develop alcoholism and the electrophysiological effects of alcohol on high risk compared to low-risk offspring. It highlights findings using EROs, a fast developing tool in examining brain function and cognition. It also reviews evidence of genetic findings related to these electrophysiological measures and their relationship to clinical diagnosis. RESULTS: Many of these abnormal neuroelectric measures are under genetic control, may precede the development of alcoholism, and may be markers of a predisposition toward the development of a spectrum of disinhibitory conditions including alcoholism. Genetic loci underlying some neuroelectic measures that involve neurotransmitter systems of the brain have been identified. CONCLUSIONS: Quantitative neuroelectric measures (EEG, ERPs, EROs) provide valuable endophenotypes in the study of genetic risk to develop alcoholism and related disorders. SIGNIFICANCE: Genetic studies of neuroelectric endophenotypes offer a powerful strategy for identifying susceptibility genes for developing psychiatric disorders, and provide novel insights into etiological factors.
OBJECTIVE: This review attempts to differentiate neuroelectric measures (electroencephalogram (EEG), event-related potentials (ERPs) and event-related oscillations (EROs)) related to acute and chronic effects of alcohol on the brain from those that reflect underlying deficits related to the predisposition to develop alcoholism and related disorders. The utility of these neuroelectric measures as endophenotypes for psychiatric genetics is evaluated. METHODS: This article reviews the main findings of EEG and ERP abnormalities in alcoholics, offspring of alcoholics at high risk to develop alcoholism and the electrophysiological effects of alcohol on high risk compared to low-risk offspring. It highlights findings using EROs, a fast developing tool in examining brain function and cognition. It also reviews evidence of genetic findings related to these electrophysiological measures and their relationship to clinical diagnosis. RESULTS: Many of these abnormal neuroelectric measures are under genetic control, may precede the development of alcoholism, and may be markers of a predisposition toward the development of a spectrum of disinhibitory conditions including alcoholism. Genetic loci underlying some neuroelectic measures that involve neurotransmitter systems of the brain have been identified. CONCLUSIONS: Quantitative neuroelectric measures (EEG, ERPs, EROs) provide valuable endophenotypes in the study of genetic risk to develop alcoholism and related disorders. SIGNIFICANCE: Genetic studies of neuroelectric endophenotypes offer a powerful strategy for identifying susceptibility genes for developing psychiatric disorders, and provide novel insights into etiological factors.
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
Authors: Mark Zlojutro; Niklas Manz; Madhavi Rangaswamy; Xiaoling Xuei; Leah Flury-Wetherill; Daniel Koller; Laura J Bierut; Alison Goate; Victor Hesselbrock; Samuel Kuperman; John Nurnberger; John P Rice; Marc A Schuckit; Tatiana Foroud; Howard J Edenberg; Bernice Porjesz; Laura Almasy Journal: Am J Med Genet B Neuropsychiatr Genet Date: 2010-11-02 Impact factor: 3.568
Authors: Chella Kamarajan; Bernice Porjesz; Kevin Jones; David Chorlian; Ajayan Padmanabhapillai; Madhavi Rangaswamy; Arthur Stimus; Henri Begleiter Journal: Biol Psychiatry Date: 2005-10-06 Impact factor: 13.382
Authors: Chella Kamarajan; Ashwini K Pandey; David B Chorlian; Niklas Manz; Arthur T Stimus; Lance O Bauer; Victor M Hesselbrock; Marc A Schuckit; Samuel Kuperman; John Kramer; Bernice Porjesz Journal: Int J Psychophysiol Date: 2015-09-18 Impact factor: 2.997