2016
DOI: 10.1016/j.clinph.2015.05.007
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Resting-state EEG, impulsiveness, and personality in daily and nondaily smokers

Abstract: Objectives Resting EEG is sensitive to transient, acute effects of nicotine administration and abstinence, but the chronic effects smoking on EEG are poorly characterized. This study measures the resting EEG profile of chronic smokers in a non-deprived, non-peak state to test whether differences in smoking behavior and personality traits affect pharmaco-EEG response. Methods Resting EEG, impulsiveness, and personality measures were collected from daily smokers (n=22), nondaily smokers (n=31), and non-smokers… Show more

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Cited by 28 publications
(24 citation statements)
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“…In addition, eccentricity indicates longest distance between a reference node and any other node, which reflects the efficient information processing from the least central node (van Dellen et al, 2015 ; Fraga González et al, 2016 ). In present study, decreased leaf fraction, kappa value were found in young smoker, which were similar with previous EEG studies brain neural oscillations properties in smokers during the resting state (Rass et al, 2015 ). Decreased alpha band power in smokers might be associated with long-term consequences of nicotine use (Rass et al, 2015 ; Wilbanks et al, 2016 ).…”
Section: Discussionsupporting
confidence: 93%
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“…In addition, eccentricity indicates longest distance between a reference node and any other node, which reflects the efficient information processing from the least central node (van Dellen et al, 2015 ; Fraga González et al, 2016 ). In present study, decreased leaf fraction, kappa value were found in young smoker, which were similar with previous EEG studies brain neural oscillations properties in smokers during the resting state (Rass et al, 2015 ). Decreased alpha band power in smokers might be associated with long-term consequences of nicotine use (Rass et al, 2015 ; Wilbanks et al, 2016 ).…”
Section: Discussionsupporting
confidence: 93%
“…Electroencephalography (EEG) had been employed to measure ongoing oscillation of neural electrical activity in the absence of an overt task or stimulation (Delbeuck et al, 2003 ; Stam et al, 2007 ). By using spectral analysis of neural oscillations in EEG, previous resting state studies had found decreased theta and delta power, increased beta power and inconsistent results in alpha band.in smokers (Rass et al, 2015 ). Graph theoretical network analyses (GTA) of EEG signal during the resting state was used to investigate the integrity and efficiency of global brain networks in brain diseases, by assessing the topology characteristics of global brain networks (Delbeuck et al, 2003 ; Lee et al, 2006 ; Leistedt et al, 2009 ; Fraga González et al, 2016 ).…”
Section: Introductionmentioning
confidence: 99%
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“…The larger-but-delayed choice was always fixed at $800 regardless of one’s prior choice. Following procedures conventionally used in studies focusing on individual-differences in inter-temporal responses (Ahn et al, 2011; Du et al, 2002; Rass, Ahn, & O’Donnell, 2015), we continued the adaptation of the smaller-but-immediate choice to the sixth trial of each block. Accordingly, the mean of the upper and lower bounds of the sixth trial was defined as the participants’ subjective value of $800 at a given delay.…”
Section: Methodsmentioning
confidence: 99%
“…Also, higher resting beta power among alcoholics can interpret as cortical hyperexcitability. 7 In a similar vein, qEEG studies have shown connections between beta-band activity and failure to stay away from drugs. Thus far, research suggests that nicotine deprivation among smokers is associated with the lesser power in beta bands.…”
mentioning
confidence: 96%