网络游戏障碍人群大脑功能网络rich club结构的改变

doi:10.11938/cjmr20212967

摘要/Abstract

摘要：

网络游戏障碍（internet gaming disorder，IGD）极大的影响了青少年的学习与生活．IGD于2013年被纳入《精神障碍诊断与统计手册》第5版（DSM-5），但其神经机制还不清楚．本研究通过静息态功能磁共振成像研究30例IGD被试以及年龄、性别与之匹配的30例健康对照，分析他们大脑功能网络的rich club结构的差异．结果表明，IGD组和对照组均存在rich club结构，rich club脑区主要包含默认模式、执行控制、突显、感觉运动、听觉与视觉网络中的脑区；同时IGD组的rich club连接增加；此外，IGD组的右侧眶部额下回的度显著高于健康对照组. 这些发现表明了IGD人群大脑功能网络的rich club结构发生了改变．

关键词: 功能磁共振成像, 脑功能网络, rich club, 网络游戏障碍

Abstract:

Internet gaming disorder (IGD) has a great negative impact on teenagers’ study and life. It has been included in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders in 2013. However, the neural mechanism of its effect is yet to be unveiled. In this study, we used resting-state functional magnetic resonance imaging (resting-state fMRI) to explore the differences of rich club structures in the functional brain networks of 30 IGD subjects and 30 age/sex-matched healthy controls. The rich club was found in both IGD subjects and healthy controls, involving important brain regions in default mode, executive control, salience, sensorimotor, auditory and visual networks. IGD subjects had significantly higher rich club connection and higher degree in the right pars orbitalis of inferior frontal gyrus than healthy controls. These findings might suggest that IGD might be more correlated with damage to the rich club connection.

Key words: functional magnetic resonance imaging, brain functional network, rich club, internet gaming disorder

中图分类号:

O482.53

邱先鑫,韩旭,汪耀,丁伟娜,孙雅文,周滟,雷皓,林富春. 网络游戏障碍人群大脑功能网络rich club结构的改变[J]. 波谱学杂志, 2022, 39(3): 258-266.

Xian-xin QIU,Xu HAN,Yao WANG,Wei-na DING,Ya-wen SUN,Yan ZHOU,Hao LEI,Fu-chun LIN. The Alteration of Rich Club in Brain Functional Network in Internet Gaming Disorder[J]. Chinese Journal of Magnetic Resonance, 2022, 39(3): 258-266.

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参考文献 41

1	KUSS D JInternet gaming addiction: current perspectives[J].Psychol Res Behav Manag,2013,6,125-137.
2	YOUNG KUnderstanding online gaming addiction and treatment issues for adolescents[J].Am J Fam Ther,2009,37(5):355-372. doi: 10.1080/01926180902942191
3	ASSOCIATION A PDiagnostic and statistical manual of mental disorders (5th ed. )[M]. Washington, DC: American Psychiatric Publishing, 2013.
4	LEUNG LNet-generation attributes and seductive properties of the internet as predictors of online activities and internet addiction[J].Cyberpsychol Behav,2004,7(3):333-348. doi: 10.1089/1094931041291303
5	KUHN S, ROMANOWSKI A, SCHILLING C, et alThe neural basis of video gaming[J].Transl Psychiatry,2011,1(11):e53. doi: 10.1038/tp.2011.53
6	YUAN K, QIN W, WANG G H, et alMicrostructure abnormalities in adolescents with internet addiction disorder[J].PLoS One,2011,6(6):e20708. doi: 10.1371/journal.pone.0020708
7	ZHOU Y, LIN F C, DU Y S, et alGray matter abnormalities in Internet addiction: a voxel-based morphometry study[J].Eur J Radiol,2011,79(1):92-95. doi: 10.1016/j.ejrad.2009.10.025
8	HONG S B, KIM J W, CHOI E J, et alReduced orbitofrontal cortical thickness in male adolescents with internet addiction[J].Behav Brain Funct,2013,9,11. doi: 10.1186/1744-9081-9-11
9	LIN F C, ZHOU Y, DU Y S, et alAbnormal white matter integrity in adolescents with internet addiction disorder: a tract-based spatial statistics study[J].PLoS One,2012,7(1):e30253. doi: 10.1371/journal.pone.0030253
10	KO C H, LIU G C, HSIAO S, et alBrain activities associated with gaming urge of online gaming addiction[J].J Psychiatr Res,2009,43(7):739-747. doi: 10.1016/j.jpsychires.2008.09.012
11	LIU J, GAO X P, OSUNDE I, et alIncreased regional homogeneity in internet addiction disorder: a resting state functional magnetic resonance imaging study[J].Chin Med J (Engl),2010,123(14):1904-1908.
12	DONG G S, HUANG J, DU X XAlterations in regional homogeneity of resting-state brain activity in internet gaming addicts[J].Behav Brain Funct,2012,8,41. doi: 10.1186/1744-9081-8-41
13	ZHANG J T, YAO Y W, LI C S, et alAltered resting-state functional connectivity of the insula in young adults with Internet gaming disorder[J].Addict Biol,2016,21(3):743-751. doi: 10.1111/adb.12247
14	PARK H S, KIM S H, BANG S A, et alAltered regional cerebral glucose metabolism in internet game overusers: a ¹⁸F-fluorodeoxyglucose positron emission tomography study[J].CNS Spectr,2010,15(3):159-166. doi: 10.1017/S1092852900027437
15	ZHAI J Q, LUO L, QIU L J, et alThe topological organization of white matter network in internet gaming disorder individuals[J].Brain Imaging Behav,2017,11(6):1769-1778. doi: 10.1007/s11682-016-9652-0
16	CHEN S Y, LI H, WANG L X, et alA preliminary study of disrupted functional network in individuals with Internet gaming disorder: Evidence from the comparison with recreational game users[J].Addict Behav,2020,102,106202. doi: 10.1016/j.addbeh.2019.106202
17	WANG L X, WU L D, LIN X, et alAltered brain functional networks in people with Internet gaming disorder: Evidence from resting-state fMRI[J].Psychiatry Res Neuroimaging,2016,254,156-163. doi: 10.1016/j.pscychresns.2016.07.001
18	VAN DEN HEUVEL M P, SPORNS O, COLLIN G, et alAbnormal rich club organization and functional brain dynamics in schizophrenia[J].JAMA Psychiatry,2013,70(8):783-792. doi: 10.1001/jamapsychiatry.2013.1328
19	YAN T Y, WANG W H, YANG L, et alRich club disturbances of the human connectome from subjective cognitive decline to Alzheimer's disease[J].Theranostics,2018,8(12):3237-3255. doi: 10.7150/thno.23772
20	SHEEHAN D V, LECRUBIER Y, SHEEHAN K H, et alThe mini-international neuropsychiatric interview (M. I. N. I. ): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10[J].J Clin Psychiatry,1998,59,22-33.
21	BEARD K W, WOLF E MModification in the proposed diagnostic criteria for Internet addiction[J].Cyberpsychol Behav,2001,4(3):377-383. doi: 10.1089/109493101300210286
22	KO, YEN J Y, YEN C F, et alScreening for internet addiction: an empirical study on cut-off points for the Chen internet addiction scale[J].Kaohsiung J Med Sci,2005,21(12):545-551. doi: 10.1016/S1607-551X(09)70206-2
23	YAN C G, WANG X D, ZUO X N, et alDPABI: Data processing & analysis for (resting-state) brain imaging[J].Neuroinform.,2016,14(3):339-351. doi: 10.1007/s12021-016-9299-4
24	FRISTON K J, WILLIAMS S, HOWARD R, et alMovement-related effects in fMRI time-series[J].Magn Reson Med,1996,35(3):346-355. doi: 10.1002/mrm.1910350312
25	辛红涛, 吴光耀, 文之, 等抗逆转录病毒治疗对艾滋病患者脑灰质体积的影响[J].波谱学杂志,2021,38(1):69-79.
	XIN H T, WU G Y, WEN Z, et alEffects of antiretroviral therapy on brain gray matter volumes in AIDS patients[J].Chinese J Magn Reson,2021,38(1):69-79.
26	TZOURIO-MAZOYER N, LANDEAU B, PAPATHANASSIOU D, et alAutomated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain[J].Neuroimage,2002,15(1):273-289. doi: 10.1006/nimg.2001.0978
27	蔡文琴, 王远军基于磁共振成像的人脑图谱构建方法研究进展[J].波谱学杂志,2020,37(2):241-253.
	CAI W Q, WANG Y JAdvances in construction of human brain atlases from magnetic resonance images[J].Chinese J Magn Reson,2020,37(2):241-253.
28	WANG J H, WANG X D, XIA M R, et alGRETNA: a graph theoretical network analysis toolbox for imaging connectomics[J].Front Hum Neurosci,2015,9,386.
29	VAN DEN HEUVEL M P, SPORNS ORich-club organization of the human connectome[J].J Neurosci,2011,31(44):15775-15786. doi: 10.1523/JNEUROSCI.3539-11.2011
30	WANG Y, DENG F, JIA Y, et alDisrupted rich club organization and structural brain connectome in unmedicated bipolar disorder[J].Psychol Med,2019,49(3):510-518. doi: 10.1017/S0033291718001150
31	ZHOU C, PING L L, CHEN W, et alAltered white matter structural networks in drug-naïve patients with obsessive-compulsive disorder[J].Brain Imaging Behav,2021,15(2):700-710. doi: 10.1007/s11682-020-00278-7
32	CROSSLEY N A, MECHELLI A, V RTES P E, et alCognitive relevance of the community structure of the human brain functional coactivation network[J].Proc Natl Acad Sci U S A,2013,110(28):11583-11588. doi: 10.1073/pnas.1220826110
33	ZSIDO A N, DARNAI G, INHOF O, et alDifferentiation between young adult Internet addicts, smokers, and healthy controls by the interaction between impulsivity and temporal lobe thickness[J].J Behav Addict,2019,8(1):35-47. doi: 10.1556/2006.8.2019.03
34	ZHANG R, SHAO R, XU G, et alAberrant brain structural-functional connectivity coupling in euthymic bipolar disorder[J].Hum Brain Mapp,2019,40(12):3452-3463.
35	CROSSLEY N A, MECHELLI A, SCOTT J, et alThe hubs of the human connectome are generally implicated in the anatomy of brain disorders[J]. Brain, 2014, 137 (Pt 8): 2382- 2395.
36	KANG K D, JUNG T W, PARK I H, et alEffects of equine-assisted activities and therapies on the affective network of adolescents with internet gaming disorder[J].J Altern Complement Med,2018,24(8):841-849. doi: 10.1089/acm.2017.0416
37	WANG Y, YIN Y, SUN Y W, et alDecreased prefrontal lobe interhemispheric functional connectivity in adolescents with internet gaming disorder: a primary study using resting-state FMRI[J].PLoS One,2015,10(3):e0118733. doi: 10.1371/journal.pone.0118733
38	HESTER R, GARAVAN HExecutive dysfunction in cocaine addiction: evidence for discordant frontal, cingulate, and cerebellar activity[J].J Neurosci,2004,24(49):11017-11022. doi: 10.1523/JNEUROSCI.3321-04.2004
39	TREMBLAY L, SCHULTZ WRelative reward preference in primate orbitofrontal cortex[J].Nature,1999,398(6729):704-708. doi: 10.1038/19525
40	VOLKOW N D, WANG G J, TOMASI D, et alUnbalanced neuronal circuits in addiction[J].Curr Opin Neurobiol,2013,23(4):639-648. doi: 10.1016/j.conb.2013.01.002
41	WANG J, WANG L, ZANG Y, et alParcellation-dependent small-world brain functional networks: a resting-state fMRI study[J].Hum Brain Mapp,2009,30(5):1511-1523. doi: 10.1002/hbm.20623

	IGD	HC	p值
年龄/岁	20.17±1.98	20.60±3.38	0.55
性别（女性/男性）	12/18	12/18	1.00
受教育年限/年	11.20±1.61	11.60±2.22	0.43
CIAS得分	73.10±10.21	39.83±8.81	<0.001
SAS得分	49.87±9.84	41.17±7.21	<0.001
SDS得分	53.27±9.91	44.57±9.77	0.001
BIS-11得分	61.07±8.76	53.40±7.67	0.001
认知冲动得分	15.03±2.76	12.93±2.50	0.003
行动冲动得分	20.33±4.06	17.97±3.12	0.014
非计划冲动得分	25.77±3.78	22.50±4.45	0.003

连接类型	连接				p值
连接类型	男性对照	男性IGD	女性对照	女性IGD	IGD	性别	IGD^*性别
rich club连接	16.26±2.71	17.76±2.65	17.52±3.59	19.59±4.89	0.01	0.57	0.44
feeder连接	98.98±10.13	99.02±15.34	94.33±18.60	102.04±13.37	0.82	0.97	0.16
local连接	245.9±20.99	239.09±17.09	232.08±16.75	241.82±17.02	0.82	0.25	0.04

连接类型		CIAS 得分	SAS 得分	SDS 得分	BIS-11 得分	BIS-11 -认知冲动得分	BIS-11 -行为冲动得分	BIS-11 -非计划冲动得分
rich club连接	r	?0.08	0.20	0.19	0.03	0.28	?0.15	0.00
rich club连接	p	0.69	0.32	0.35	0.90	0.17	0.48	0.99
feeder连接	r	0.05	0.09	0.15	?0.28	?0.05	?0.39	?0.19
feeder连接	p	0.82	0.66	0.47	0.17	0.80	0.05	0.35
local连接	r	0.42	0.24	0.35	0.03	?0.07	0.08	0.05
local连接	p	0.03	0.24	0.08	0.87	0.72	0.68	0.79

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