Decreased prefrontal lobe interhemispheric functional connectivity in adolescents with internet gaming disorder: A primary study using resting-state fMRI

PLoS ONE

Volumn 10, Issue 3, 2015, Pages

  Wang, Yao ^a   Yin, Yan ^a   Sun, Ya Wen ^a   Zhou, Yan ^a   Chen, Xue ^a   Ding, Wei Na ^a   Wang, Wei ^c   Li, Wei ^c   Xu, Jian Rong ^a   Du, Ya Song ^b  

^a SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c FOURTH MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; BEHAVIOR DISORDER ASSESSMENT; CHEN INTERNET ADDICTION SCALE; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; FRONTAL LOBE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INFERIOR FRONTAL GYRUS; INTERNET ADDICTION; INTERNET GAMING DISORDER; MALE; MIDDLE FRONTAL GYRUS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PREFRONTAL LOBE; RESTING STATE NETWORK; SUPERIOR FRONTAL GYRUS; VOXEL MIRRORED HOMOTOPIC CONNECTIVITY; ADDICTION; BRAIN MAPPING; CASE CONTROL STUDY; INTERNET; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; PREFRONTAL CORTEX; PSYCHOLOGY; QUESTIONNAIRE; REST; VIDEO GAME;

ADOLESCENT; BEHAVIOR, ADDICTIVE; BRAIN MAPPING; CASE-CONTROL STUDIES; FEMALE; HUMANS; INTERNET; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; PREFRONTAL CORTEX; REST; SURVEYS AND QUESTIONNAIRES; VIDEO GAMES;

EID: 84928897518     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0118733     Document Type: Article

References (46)

1. Anderson K (2001) Internet use among college students: an exploratory study. J Am Coll Health 50: 21-26. PMID: 11534747
2. Meng Y, Deng W, Wang H, Guo W, Li T (2014) The prefrontal dysfunction in individuals with Internet gaming disorder: a meta-analysis of functional magnetic resonance imaging studies. Addiction biology.
3. Kuss DJ (2013) Internet gaming addiction: current perspectives. Psychology research and behavior management 6: 125-137. doi: 10.2147/PRBM.S39476 PMID: 24255603
4. Lam LT, Peng Z, Mai J, Jing J (2009) The association between internet addiction and self-injurious behaviour among adolescents. Injury prevention: journal of the International Society for Child and Adolescent Injury Prevention 15: 403-408. doi: 10.1136/ip.2009.021949 PMID: 19959733
5. Cao F, Su L (2007) Internet addiction among Chinese adolescents: prevalence and psychological features. Child: care, health and development 33: 275-281. PMID: 17439441
6. Huang H, Leung L (2009) Instant messaging addiction among teenagers in China: shyness, alienation, and academic performance decrement. Cyberpsychology & behavior: the impact of the Internet, multimedia and virtual reality on behavior and society 12: 675-679.
7. Han DH, Kim YS, Lee YS, Min KJ, Renshaw PF (2010) Changes in cue-induced, prefrontal cortex activity with video-game play. Cyberpsychology, behavior and social networking 13: 655-661. doi: 10.1089/cyber.2009.0327 PMID: 21142990
8. Hoeft F, Watson CL, Kesler SR, Bettinger KE, Reiss AL (2008) Gender differences in the mesocorticolimbic system during computer game-play. Journal of psychiatric research 42: 253-258. doi: 10.1016/j.jpsychires.2007.11.010 PMID: 18194807
9. Dong G HY, Lin X. (2013) Reward/punishment sensitivities among internet addicts: Implications for their addictive behaviors. Prog Neuropsychopharmacol Biol Psychiatry 46: 139-145. doi: 10.1016/j.pnpbp.2013.07.007 PMID: 23876789
10. Ding WN, Sun JH, Sun YW, Chen X, Zhou Y, et al. (2014) Trait impulsivity and impaired prefrontal impulse inhibition function in adolescents with internet gaming addiction revealed by a Go/No-Go fMRI study. Behavioral and brain functions: BBF 10: 20. doi: 10.1186/1744-9081-10-20 PMID: 24885073
11. Brand M, Young KS, Laier C (2014) Prefrontal control and internet addiction: a theoretical model and review of neuropsychological and neuroimaging findings. Frontiers in human neuroscience 8: 375. doi: 10.3389/fnhum.2014.00375 PMID: 24904393
12. Hong SB, Zalesky A, Cocchi L, Fornito A, Choi EJ, et al. (2013) Decreased functional brain connectivity in adolescents with internet addiction. PloS one 8: e57831. doi: 10.1371/journal.pone.0057831 PMID: 23451272
13. Stark DE, Margulies DS, Shehzad ZE, Reiss P, Kelly AM, et al. (2008) Regional variation in interhemispheric coordination of intrinsic hemodynamic fluctuations. The Journal of neuroscience: the official journal of the Society for Neuroscience 28: 13754-13764. doi: 10.1523/JNEUROSCI.4544-08.2008 PMID: 19091966
14. Di Martino A, Scheres A, Margulies DS, Kelly AM, Uddin LQ, et al. (2008) Functional connectivity of human striatum: a resting state FMRI study. Cerebral cortex 18: 2735-2747. doi: 10.1093/cercor/bhn041 PMID: 18400794
15. Salvador R, Suckling J, Schwarzbauer C, Bullmore E (2005) Undirected graphs of frequency-dependent functional connectivity in whole brain networks. Philosophical transactions of the Royal Society of London Series B, Biological sciences 360: 937-946. PMID: 16087438
16. Ding WN, Sun JH, Sun YW, Zhou Y, Li L, et al. (2013) Altered default network resting-state functional connectivity in adolescents with Internet gaming addiction. PloS one 8: e59902. doi: 10.1371/journal.pone.0059902 PMID: 23555827
17. Beard KW, Wolf EM (2001) Modification in the proposed diagnostic criteria for Internet addiction. Cyberpsychology & behavior: the impact of the Internet, multimedia and virtual reality on behavior and society 4: 377-383.
18. Sheehan DV, Sheehan KH, Shytle RD, Janavs J, Bannon Y, et al. (2010) Reliability and validity of the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). The Journal of clinical psychiatry 71: 313-326. doi: 10.4088/JCP.09m05305whi PMID: 20331933
19. Chen SH WL, Su YJ, Wu HM, Yang PF. (2003) Development of Chinese Internet addcition scale and its psychometric study. Chinese J Psychol 45: 279-294.
20. Zung WW (1971) A rating instrument for anxiety disorders. Psychosomatics 12: 371-379. PMID: 5172928
21. Zung WW (1965) A Self-Rating Depression Scale. Archives of general psychiatry 12: 63-70. PMID: 14221692
22. Patton JH, Stanford MS, Barratt ES (1995) Factor structure of the Barratt impulsiveness scale. Journal of clinical psychology 51: 768-774. PMID: 8778124
23. Chao-Gan Y, Yu-Feng Z (2010) DPARSF: A MATLAB Toolbox for "Pipeline" Data Analysis of Resting-State fMRI. Frontiers in systems neuroscience 4: 13. doi: 10.3389/fnsys.2010.00013 PMID: 20577591
24. Song XW, Dong ZY, Long XY, Li SF, Zuo XN, et al. (2011) REST: a toolkit for resting-state functional magnetic resonance imaging data processing. PloS one 6: e25031. doi: 10.1371/journal.pone.0025031 PMID: 21949842
25. Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE (2012) Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 59: 2142-2154. doi: 10.1016/j.neuroimage.2011.10.018 PMID: 22019881
26. Schwarzkopf DS, De Haas B, Rees G (2012) Better ways to improve standards in brain-behavior correlation analysis. Frontiers in human neuroscience 6: 200. doi: 10.3389/fnhum.2012.00200 PMID: 22811662
27. Zuo XN, Kelly C, Di Martino A, Mennes M, Margulies DS, et al. (2010) Growing together and growing apart: regional and sex differences in the lifespan developmental trajectories of functional homotopy. The Journal of neuroscience: the official journal of the Soc iety for Neuroscience 30: 15034-15043.
28. Hoptman MJ, Zuo XN, D'Angelo D, Mauro CJ, Butler PD, et al. (2012) Decreased interhemispheric coordination in schizophrenia: a resting state fMRI study. Schizophrenia research 141: 1-7. doi: 10.1016/j.schres.2012.07.027 PMID: 22910401
29. White T, Magnotta VA, Bockholt HJ, Williams S, Wallace S, et al. (2011) Global white matter abnormalities in schizophrenia: a multisite diffusion tensor imaging study. Schizophrenia bulletin 37: 222-232. doi: 10.1093/schbul/sbp088 PMID: 19770491
30. Zhou Y, Milham M, Zuo XN, Kelly C, Jaggi H, et al. (2013) Functional homotopic changes in multiple sclerosis with resting-state functional MR imaging. AJNR American journal of neuroradiology 34: 1180-1187. doi: 10.3174/ajnr.A3386 PMID: 23348760
31. Yuan K QW, Liu P, Zhao L, Yu D, Zhao L, Dong M, et al. (2012) Reduced fractional anisotropy of corpus callosum modulates inter-hemispheric resting state functional connectivity in migraine patients without aura. PloS one 7:e45476. doi: 10.1371/journal.pone.0045476 PMID: 23029036
32. Lin F, Zhou Y, Du Y, Qin L, Zhao Z, et al. (2012) Abnormal white matter integrity in adolescents with internet addiction disorder: a tract-based spatial statistics study. PloS one 7: e30253. doi: 10.1371/journal.pone.0030253 PMID: 22253926
33. Weng CB, Qian RB, Fu XM, Lin B, Han XP, et al. (2013) Gray matter and white matter abnormalities in online game addiction. European journal of radiology 82: 1308-1312. doi: 10.1016/j.ejrad.2013.01.031 PMID: 23480966
34. Kringelbach ML (2005) The human orbitofrontal cortex: linking reward to hedonic experience. Nature reviews Neuroscience 6: 691-702. PMID: 16136173
35. Schoenbaum G, Roesch MR, Stalnaker TA (2006) Orbitofrontal cortex, decision-making and drug addiction. Trends in neurosciences 29: 116-124. PMID: 16406092
36. Rolls ET (2000) The orbitofrontal cortex and reward. Cerebral cortex 10: 284-294. PMID: 10731223
37. Wilson SJ, Sayette MA, Fiez JA (2004) Prefrontal responses to drug cues: a neurocognitive analysis. Nature neuroscience 7: 211-214. PMID: 15001989
38. Weiss F (2005) Neurobiology of craving, conditioned reward and relapse. Current opinion in pharmacology 5: 9-19. PMID: 15661620
39. Bonson KR, Grant SJ, Contoreggi CS, Links JM, Metcalfe J, et al. (2002) Neural systems and cue-induced cocaine craving. Neuropsychopharmacology: official publication of the American College of Neuropsychopharmacology 26: 376-386. PMID: 11850152
40. Hong SB, Kim JW, Choi EJ, Kim HH, Suh JE, et al. (2013) Reduced orbitofrontal cortical thickness in male adolescents with internet addiction. Behavioral and brain functions: BBF 9: 11. doi: 10.1186/1744-9081-9-11 PMID: 23497383
41. Leung L (2004) Net-generation attributes and seductive properties of the internet as predictors of online activities and internet addiction. Cyberpsychol Behav 7: 333-348. PMID: 15257834
42. Rose JE, McClernon FJ, Froeliger B, Behm FM, Preud'homme X, et al. (2011) Repetitive transcranial magnetic stimulation of the superior frontal gyrus modulates craving for cigarettes. Biological psychiatry 70: 794-799. doi: 10.1016/j.biopsych.2011.05.031 PMID: 21762878
43. Heitzeg MM, Nigg JT, Hardee JE, Soules M, Steinberg D, et al. (2014) Left middle frontal gyrus response to inhibitory errors in children prospectively predicts early problem substance use. Drug Alcohol Depend 141: 51-57. doi: 10.1016/j.drugalcdep.2014.05.002 PMID: 24882366
44. Kuss DJ, Griffiths MD (2012) Internet and gaming addiction: a systematic literature review of neuroimaging studies. Brain sciences 2: 347-374. doi: 10.3390/brainsci2030347 PMID: 24961198
45. Dong G, Devito EE, Du X, Cui Z (2012) Impaired inhibitory control in 'internet addiction disorder': a functional magnetic resonance imaging study. Psychiatry research 203: 153-158. doi: 10.1016/j.pscychresns.2012.02.001 PMID: 22892351
46. Kelly C, Zuo XN, Gotimer K, Cox CL, Lynch L, et al. (2011) Reduced interhemispheric resting state functional connectivity in cocaine addiction. Biological psychiatry 69: 684-692. doi: 10.1016/j.biopsych.2010.11.022 PMID: 21251646