1 Department of Psychiatry, SMG-SNU Boramae Medical Center , Seoul, Republic of Korea.
2 Interdisciplinary Program in Neuroscience, Seoul National University College of Natural Sciences , Seoul, Republic of Korea.
J Behav Addict. 2017 Sep 1;6(3):387-395. doi: 10.1556/2006.6.2017.055. Epub 2017 Aug 31.
Background and aims Impulsivity is a core feature of gambling disorder (GD) and is related to the treatment response. Thus, it is of interest to determine objective neurobiological markers associated with impulsivity in GD. We explored resting-state electroencephalographic (EEG) activity in patients with GD according to the degree of impulsivity. Methods In total, 109 GD subjects were divided into three groups according to Barratt impulsiveness scale-11 (BIS-11) scores: high (HI; 25th percentile of BIS-11 scores, n = 29), middle (MI; 26th-74th percentile, n = 57), and low-impulsivity (LI) groups (75th percentile, n = 23). We used generalized estimating equations to analyze differences in EEG absolute power considering group (HI, MI, and LI), brain region (frontal, central, and posterior), and hemisphere (left, midline, and right) for each frequency band (delta, theta, alpha, beta, and gamma). Results The results indicated that GD patients in the HI group showed decreased theta absolute power, and decreased alpha and beta absolute power in the left, right, particularly midline frontocentral regions. Discussion and conclusions This study is a novel attempt to reveal impulsive features in GD by neurophysiological methods. The results suggest different EEG patterns among GD patients according to the degree of impulsivity, raising the possibility of neurophysiological objective features in GD and helping clinicians in treating GD patients with impulsive features.
冲动性是赌博障碍(GD)的核心特征,与治疗反应有关。因此,确定与 GD 冲动性相关的客观神经生物学标志物很有意义。我们根据冲动性程度,探讨了 GD 患者的静息态脑电图(EEG)活动。
共纳入 109 名 GD 患者,根据 Barratt 冲动量表 11 版(BIS-11)评分分为三组:高(HI;BIS-11 评分的第 25 百分位数,n=29)、中(MI;第 26-74 百分位数,n=57)和低冲动性(LI)组(第 75 百分位数,n=23)。我们使用广义估计方程分析了考虑组(HI、MI 和 LI)、脑区(额区、中央区和后区)和半球(左、中线和右)的 EEG 绝对功率差异,每个频带(delta、theta、alpha、beta 和 gamma)。
结果表明,HI 组的 GD 患者表现出 theta 绝对功率降低,左、右、特别是中线额中央区的 alpha 和 beta 绝对功率降低。
本研究通过神经生理学方法,首次尝试揭示 GD 中的冲动特征。结果表明,GD 患者根据冲动程度表现出不同的 EEG 模式,这提示 GD 存在神经生理客观特征的可能性,并有助于临床医生治疗具有冲动特征的 GD 患者。