网络游戏成瘾患者基于体素的脑灰质结构研究

A voxel-based morphometric analysis of brain gray matter in online game addicts

目的采用基于体素脑形态学测量法探索网络游戏成瘾（OGA）患者脑灰质结构特点，从脑形态学角度解释网络游戏成瘾的可能神经机制。方法选择安徽医科大学附属省立医院心理科2011年2至12月门诊就诊的网络游戏成瘾者（OGA组）和年龄性别相匹配的健康对照者（HC组）各17例，利用网络成瘾自评量表测评被试网络游戏成瘾程度；静息状态下采集被试磁共振数据，应用FSL软件进行基于体素脑形态学分析，确定OGA组灰质结构异常脑区的位置，并将异常脑区灰质容积率与网络成瘾自评量表得分进行相关性分析。结果OGA组左侧眶额叶（OFC-L）、双侧岛叶（INS-L＆R）、左侧前邦带回中份（mPFC-L）、左侧后扣带回（PCC-L）及左侧辅助运动区（SMA-L）灰质体积明显下降，且OFC-L、INS-L＆R灰质容积率与网络游戏成瘾程度呈负相关性（r=-0．65，r=-0．78，P〈0．05）。结论网络游戏成瘾者眶额叶、岛叶、后扣带回及前扣带回等脑区存在脑形态学异常，可能与成瘾行为产生及维持存在一定的相关性。

Objective To explore the possible brain mechanism of online game addiction （OGA） in terms of brain morphology through voxel-based morphometrie （ VBM ） analysis. Methods Seventeen subjects with OGA and 17 age- and gender-matched healthy controls （HC group） were recruited from Department of Psychology at our hospital during February-December 2011. The internet addiction scale （IAS） was used to measure the degree of OGA tendency. Magnetic resonance imaging （MRI） scans were performed to acquire 3-demensional Tl-weighted images. And FSL 4. 1 software was employed to confirm regional gray matter volume changes. For the regions where OGA subjects showed significantly different gray matter volumes from the controls, the gray matter volumes of these areas were extracted, averaged and regressed against the scores of IAS. Results The OGA group had lower gray matter volume in left orbitofrontal cortex （OFC）, left medial prefrontal cortex （mPFC）, bilateral insula （INS）, left posterior cingulate cortex （PCC） and left supplementary motor area （SMA）. Gray matter volumes of left OFC and bilateral INS showed a negative correlation with the scores of IAS （ r = - 0. 65, r = - 0. 78, P 〈 0. 05 ）. Conclusion Gray matter volume changes are present in online game addicts and they may be correlated with the occurrence and maintenance of OGA.