Sadeghi Saeid, Takeuchi Hikaru, Shalani Bita, Taki Yasuyuki, Nouchi Rui, Yokoyama Ryoichi, Kotozaki Yuka, Nakagawa Seishu, Sekiguchi Atsushi, Iizuka Kunio, Hanawa Sugiko, Araki Tsuyoshi, Miyauchi Carlos Makoto, Sakaki Kohei, Nozawa Takayuki, Ikeda Shigeyuki, Yokota Susumu, Magistro Daniele, Sassa Yuko, Kawashima Ryuta
Institute for Cognitive and Brain Sciences (ICBS), Shahid Beheshti University, Tehran, Iran.
Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
PLoS One. 2021 Nov 15;16(11):e0259259. doi: 10.1371/journal.pone.0259259. eCollection 2021.
The structural and functional brain characteristics associated with the excessive use of the internet have attracted substantial research attention in the past decade. In current study, we used voxel-based morphometry (VBM) and multiple regression analysis to assess the relationship between internet addiction tendency (IAT) score and regional gray and white matter volumes (rGMVs and rWMVs) and brain activity during a WM task in a large sample of healthy young adults (n = 1,154, mean age, 20.71 ± 1.78 years). We found a significant positive correlation between IAT score and gray matter volume (GMV) of right supramarginal gyrus (rSMG) and significant negative correlations with white matter volume (WMV) of right temporal lobe (sub-gyral and superior temporal gyrus), right sublobar area (extra-nuclear and lentiform nucleus), right cerebellar anterior lobe, cerebellar tonsil, right frontal lobe (inferior frontal gyrus and sub-gyral areas), and the pons. Also, IAT was significantly and positively correlated with brain activity in the default-mode network (DMN), medial frontal gyrus, medial part of the superior frontal gyrus, and anterior cingulate cortex during a 2-back working memory (WM) task. Moreover, whole-brain analyses of rGMV showed significant effects of interaction between sex and the IAT scores in the area spreading around the left anterior insula and left lentiform. This interaction was moderated by positive correlation in women. These results indicate that IAT is associated with (a) increased GMV in rSMG, which is involved in phonological processing, (b) decreased WMV in areas of frontal, sublobar, and temporal lobes, which are involved in response inhibition, and (c) reduced task-induced deactivation of the DMN, indicative of altered attentional allocation.
在过去十年中,与过度使用互联网相关的大脑结构和功能特征吸引了大量研究关注。在当前研究中,我们使用基于体素的形态测量法(VBM)和多元回归分析,在一大群健康年轻成年人(n = 1154,平均年龄20.71±1.78岁)样本中,评估网络成瘾倾向(IAT)得分与区域灰质和白质体积(rGMVs和rWMVs)以及在执行工作记忆(WM)任务期间大脑活动之间的关系。我们发现,IAT得分与右侧缘上回(rSMG)的灰质体积(GMV)呈显著正相关,与右侧颞叶(脑回下和颞上回)、右侧脑叶下区域(核外和豆状核)、右侧小脑前叶、小脑扁桃体、右侧额叶(额下回和脑回下区域)以及脑桥的白质体积(WMV)呈显著负相关。此外,在2-back工作记忆(WM)任务期间,IAT与默认模式网络(DMN)、内侧额回、额上回内侧部分和前扣带回皮质的大脑活动呈显著正相关。此外,对rGMV的全脑分析显示,在围绕左侧前脑岛和左侧豆状核的区域,性别与IAT得分之间存在显著的交互作用。这种交互作用在女性中表现为正相关。这些结果表明,IAT与以下因素有关:(a)rSMG中GMV增加,rSMG参与语音处理;(b)额叶、脑叶下和颞叶区域WMV减少,这些区域参与反应抑制;(c)任务诱导的DMN失活减少,表明注意力分配改变。