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• 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.

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