Share：
Share this content in WeChat
X
[Chinese][PDF]15371839
• Original Article •
A DTI study of brain white matter fibers in mobile phone addic of college students
CHEN Jian-xiang  HU Yuan-ming  LV Han-qin  LONG Xiao-jing  SHI Ting-yu  CHEN Shao-mei 

DOI:10.12015/issn.1674-8034.2017.06.009.


[Abstract] Objective: To investigate the differences of brain white matter fibers between mobile phone dependent patients and control subjects by a diffusion tensor imagine (DTI) method, and explore the characteristics of changed brain white matter microstructure in mobile phone dependent patients.Materials and Methods: 25 mobile phone dependent patients and 23 control subjects were recruited, they are from Guangzhou University of Chinese Medicine Shenzhen innovation class. The Siemens 3.0 T trio MRI was used for DTI data acquisition, voxel-based analysis, (VBA) was used for fractional anisotropy (FA) comparison between addiction group and control group, using two sample t test to analyze the differences between the two groups, and performed Alphasim correction in order to take the number of voxels larger than 26, the difference was statistically significant P<0.005 pixels after adjusted. Using two sample t test in SPSS 13.0 software to process demographic data.Results: Compared with the control group, significant reduced FA values were found in several white matter regions including superior frontal gyrus, orbital frontal cortex, insula, ventral tegmental area, hippocampus, thalamus, cerebellum in addiction group (P<0.005) , There were no regions showed significant increase (P<0.005).Conclusion: Altered white matter microstructures were found in mobile phone addiction group, mainly locating in the area associated with reward circuits, control and ability to execute related brain areas.
[Keywords] Mobile phone addiction；Diffusion tensor imagine；Magnetic resonance imaging, functional；White matter fiber；College student

CHEN Jian-xiang Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China

HU Yuan-ming* Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China

LV Han-qin Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China

LONG Xiao-jing Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

SHI Ting-yu Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China

CHEN Shao-mei Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China

*Correspondence to: Hu YM, E-mail: tomhu163@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of Shenzhen Science and Technology Planing Project No. JCYJ20150401163247205
Received  2016-11-28
Accepted  2017-01-10
DOI: 10.12015/issn.1674-8034.2017.06.009
DOI:10.12015/issn.1674-8034.2017.06.009.

[1]
Park WK. Mobile phone addictionl. Mob Commun, 2005, 31(3): 253, 272.
[2]
Park WK. The mobile phone addiction among Korean college students. Korean Soc J Commun, 2003, 47(2): 250-281.
[3]
中国互联网络信息中心(CNNIC). 第35次中国互联网络发展状况统计报告. (2015-02-03)[2016-11-20]. http://www.cnnic.cn/gywm/xwzx/rdxw/2015/201502/t20150203_51631.htm.
[4]
熊婕, 周宗奎, 陈武, 等. 大学生手机成瘾倾向量表的编制. 中国心理卫生杂志, 2012, 26(3): 222-225.
[5]
Pfefferbaum A, Adalsteinsson E, Sullivan EV. Frontal circuitrydegradation marks healthy adult aging: evidence from diffusion tensor imaging. Neuroimage, 2005, 26(3): 891-899.
[6]
聂泰明, 姜兴岳, 王静. 扩散张量成像在不典型脑膜瘤与星形细胞肿瘤鉴别诊断中的价值. 磁共振成像, 2013, 4(5): 325-329.
[7]
张超, 穆学涛, 王宏. 阿尔茨海默病DTI早期诊断的研究进展. 磁共振成像, 2013, 4(5): 394-397.
[8]
Jin Y, Shi Y, Zhan L, et al. Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics. Neuro Image, 2014, 100(7): 75-90.
[9]
Bora E, Yücel M, Fornito A, et al. White matter microstructure in opiate addiction. Addict Biol, 2012, 17(1): 141-148.
[10]
Liu H, Li L, Hao Y, et al. Disrupted white matter integrity in heroin dependence: a controlled study utilizing diffusion tensor imaging. Am J Drug Alcohol Abuse, 2008, 34(5): 562-575.
[11]
Wang X, Zhou X, Liao Y, et al. Microstructural disruption of white matter in heroin addicts revealed by diffusion tensor imaging: a controlled study. J Central South Univ (Med Ed), 2011, 36(8): 728-732.
[12]
Lin F, Zhou Y, Du Y, et al. Abnormal white matter integrity in adolescents with internet addiction disorder: a tract-based spatial statistics study. PloS One, 2012, 7(1): e30253.
[13]
Dong G, DeVito E, Huang J, et al. Diffusion tensor imaging reveals thalamus and posterior cingulate cortex abnormalities in internet gaming addicts. J Psychiatr Res, 2012, 46(9): 1212-1216.
[14]
Yuan K, Qin W, Wang G, et al. Microstructure abnormalities in adolescents with internet addiction disorder: a database of the U S. National Library of Medicine, PloS One, 2011, 6(6): e20708.
[15]
Dong G, Devito E, Huang J, et al. Diffusion tensor imaging reveals thalamus and posterior cingulated cortex abnormalities in internet gaming addicts. J Psychiatr Res, 2012, 46(9): 1212-1216.
[16]
Dong G, Wang J, Yang X, et al. Risk personality traits of Internet addiction: a longitudinal study of intemet-addicted Chinese university students. Asia-Pacific Psychiatry, 2013, 5(4): 316-321.
[17]
Hoogendijk WJG, Veltman DJ. Cognitive inflexibility in obsessive compulsive disorder and major depression is associated with distinct neural correlates. PLoS One, 2013, 8(4): e59600.
[18]
Ko CH, Hsiao S, Liu GC, et al. The characteristics of decision making potential to take risks, and personality of college students with interact addiction. Psychiatry research, 2010, 175(1): 121-125.
[19]
Smet HJD, Paquier P, Verhoeven J, et al. The cerebellum: itsroleinlanguage and related cognitive and affective functions. Brain Lang, 2013, 127(3): 334-342.

PREV Sacroiliac joint MRI findings in SAPHO syndrome
NEXT Variation analysis of diffusion weighted imaging in normal brain tissue between two b and multi-b value sequence
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn