Department of Radiology, Ren Ji Hospital, School of Medicine Shanghai Jiao Tong University, P R, China.
Behav Brain Funct. 2013 Aug 12;9(1):33. doi: 10.1186/1744-9081-9-33.
Although recent studies have clearly demonstrated functional and structural abnormalities in adolescents with internet gaming addiction (IGA), less is known about how IGA affects perfusion in the human brain. We used pseudocontinuous arterial spin-labeling (ASL) perfusion functional magnetic resonance imaging (fMRI) to measure the effects of IGA on resting brain functions by comparing resting cerebral blood flow in adolescents with IGA and normal subjects.
Fifteen adolescents with IGA and 18 matched normal adolescents underwent structural and perfusion fMRI in the resting state. Direct subtraction, voxel-wise general linear modeling was performed to compare resting cerebral blood flow (CBF) between the 2 groups. Correlations were calculated between the mean CBF value in all clusters that survived AlphaSim correction and the Chen Internet Addiction Scale (CIAS) scores, Barratt Impulsiveness Scale-11 (BIS-11) scores, or hours of Internet use per week (hours) in the 15 subjects with IGA.
Compared with control subjects, adolescents with IGA showed significantly higher global CBF in the left inferior temporal lobe/fusiform gyrus, left parahippocampal gyrus/amygdala, right medial frontal lobe/anterior cingulate cortex, left insula, right insula, right middle temporal gyrus, right precentral gyrus, left supplementary motor area, left cingulate gyrus, and right inferior parietal lobe. Lower CBF was found in the left middle temporal gyrus, left middle occipital gyrus, and right cingulate gyrus. There were no significant correlations between mean CBF values in all clusters that survived AlphaSim correction and CIAS or BIS-11 scores or hours of Internet use per week.
In this study, we used ASL perfusion fMRI and noninvasively quantified resting CBF to demonstrate that IGA alters the CBF distribution in the adolescent brain. The results support the hypothesis that IGA is a behavioral addiction that may share similar neurobiological abnormalities with other addictive disorders.
尽管最近的研究清楚地表明，患有网络成瘾（IGA）的青少年在功能和结构上存在异常，但关于 IGA 如何影响人脑灌注的信息却知之甚少。我们使用伪连续动脉自旋标记（ASL）灌注功能磁共振成像（fMRI）通过比较 IGA 青少年和正常受试者的静息脑功能来测量 IGA 对静息脑功能的影响。
15 名患有 IGA 的青少年和 18 名匹配的正常青少年接受了结构和灌注 fMRI 静息状态。直接相减，体素-wise 广义线性模型用于比较两组的静息脑血流（CBF）。在 15 名患有 IGA 的受试者中，计算了所有聚类的平均 CBF 值与 Chen 网络成瘾量表（CIAS）评分、Barratt 冲动量表-11（BIS-11）评分或每周上网时间（小时）之间的相关性。
与对照组相比，患有 IGA 的青少年左侧颞下回/梭状回、左侧海马旁回/杏仁核、右侧内侧额叶/前扣带皮质、左侧岛叶、右侧岛叶、右侧颞中回、右侧中央前回、左侧辅助运动区、左侧扣带回和右侧下顶叶的全局 CBF 明显较高。左颞中回、左中枕叶和右扣带回的 CBF 较低。在所有通过 AlphaSim 校正的聚类中，平均 CBF 值与 CIAS 或 BIS-11 评分或每周上网时间之间没有显著相关性。
在这项研究中，我们使用 ASL 灌注 fMRI 无创地量化了静息 CBF，证明了 IGA 改变了青少年大脑的 CBF 分布。结果支持 IGA 是一种行为成瘾的假说，可能与其他成瘾障碍具有相似的神经生物学异常。
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