在正常人群中,过度使用社交媒体与杏仁核-纹状体有关,而与前额叶形态无关。

Excess social media use in normal populations is associated with amygdala-striatal but not with prefrontal morphology.

机构信息

Faculty of Psychology, Southwest University, Beibei, Chongqing, China; Decision Neuroscience, Department of Psychology, University of Southern California, Los Angeles, USA.

Decision Neuroscience, Department of Psychology, University of Southern California, Los Angeles, USA; Information Systems and Decision Sciences, California State University, Fullerton, USA.

出版信息

Psychiatry Res Neuroimaging. 2017 Nov 30;269:31-35. doi: 10.1016/j.pscychresns.2017.09.003. Epub 2017 Sep 9.

Abstract

This study aims to investigate the gray matter volume (GMV) of key neural systems possibly associated with Excess Social Media Use (ESMU) in the general user population. It employs a sex-balanced case (relatively high ESMU scores) - control (relatively low ESMU scores) design with 50 random university students who have reported varying levels of ESMU. The case and control groups included 25 subjects each. Brain volumes were calculated with Voxel-Based Morphometry techniques applied to structural MRI scans. Results based on voxel-wise and region-of-interest (ROI) analyses showed that the case group had reduced GMV in the bilateral amygdala and right ventral striatum. The GMV of the bilateral amygdala and right ventral striatum negatively correlated with ESMU scores in the voxel-wise analysis. No differences or correlations in relation to prefrontal regions were observed. Using the ROI analysis, the bilateral amygdala volumes correlated with ESMU scores, and insufficient evidence regarding the ventral striatum and ESMU was obtained. It is concluded that excess social media use in the general population is associated in part with GMV reduction in the bilateral amygdala, and possibly the striatum, but not in volumetric differences in prefrontal regions.

摘要

本研究旨在探究可能与一般人群中过度使用社交媒体(Excess Social Media Use,ESMU)相关的关键神经系统的灰质体积(GMV)。研究采用了性别平衡的病例(相对较高的 ESMU 评分)-对照(相对较低的 ESMU 评分)设计,共纳入了 50 名报告 ESMU 程度不同的随机大学生。病例组和对照组各有 25 名受试者。使用基于体素的形态计量学技术对结构磁共振成像扫描进行脑容量计算。基于体素和感兴趣区域(ROI)分析的结果表明,病例组双侧杏仁核和右侧腹侧纹状体的 GMV 减少。双侧杏仁核和右侧腹侧纹状体的 GMV 与体素分析中的 ESMU 评分呈负相关。在与前额叶区域相关的分析中未观察到差异或相关性。使用 ROI 分析,双侧杏仁核体积与 ESMU 评分相关,而对于腹侧纹状体和 ESMU 的相关性证据不足。结论是,一般人群中过度使用社交媒体与双侧杏仁核 GMV 减少有关,可能还与纹状体有关,但与前额叶区域的体积差异无关。

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