Core brain networks interactions and cognitive control in internet gaming disorder individuals in late adolescence/early adulthood

Brain Structure and Function

Volumn 221, Issue 3, 2016, Pages 1427-1442

  Yuan, Kai ^a,b   Qin, Wei ^a,b   Yu, Dahua ^c   Bi, Yanzhi ^a,b   Xing, Lihong ^a,b   Jin, Chenwang ^d   Tian, Jie ^a,b,e  

^a XIDIAN UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c INNER MONGOLIA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^d XI'AN JIAOTONG UNIVERSITY   (China)

^e INSTITUTE OF AUTOMATION   (China)

Author keywords

Central executive network; Cognitive control; Default mode network; Internet gaming disorder; Salience network

Indexed keywords

ADOLESCENT; ADULT; ANTERIOR CINGULATE; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DEFAULT MODE NETWORK; DIFFUSION TENSOR IMAGING; DORSOLATERAL PREFRONTAL CORTEX; EXECUTIVE FUNCTION; FEMALE; FRACTIONAL ANISOTROPY; HUMAN; INTERNET ADDICTION; MALE; NERVE CELL NETWORK; POTENTIAL DIFFERENCE; PRIORITY JOURNAL; REACTION TIME; SALIENCE NETWORK; STROOP TEST; SUPERIOR LONGITUDINAL FASCICULUS; TRACTOGRAPHY; YOUNG ADULT; BRAIN; BRAIN MAPPING; COGNITION; GAMBLING; INTERNET; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES;

ADOLESCENT; ADULT; BRAIN; BRAIN MAPPING; COGNITION; DIFFUSION TENSOR IMAGING; EXECUTIVE FUNCTION; FEMALE; GAMBLING; HUMANS; INTERNET; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; STROOP TEST; YOUNG ADULT;

EID: 84922345786     PISSN: 18632653     EISSN: 18632661     Source Type: Journal    
DOI: 10.1007/s00429-014-0982-7     Document Type: Article

References (65)

1. Aboujaoude E (2010) Problematic internet use: an overview. World Psychiatry 9(2):85–90
2. Astill RG, Van der Heijden KB, Van Ijzendoorn MH, Van Someren EJ (2012) Sleep, cognition, and behavioral problems in school-age children: a century of research meta-analyzed. Psychol Bull 138(6):1109
3. Bavelier D, Green CS, Han DH, Renshaw PF, Merzenich MM, Gentile DA (2011) Brains on video games. Nat Rev Neurosci 12(12):763–768
4. Beard K, Wolf E (2001) Modification in the proposed diagnostic criteria for internet addiction. Cyberpsychol Behav 4(3):377–383
5. Beckmann CF, Smith SM (2004) Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imaging 23(2):137–152
6. Block JJ (2008) Issues for DSM-V: internet addiction. Am J Psychiatry 165(3):306–307
7. Bonnelle V, Ham TE, Leech R, Kinnunen KM, Mehta MA, Greenwood RJ, Sharp DJ (2012) Salience network integrity predicts default mode network function after traumatic brain injury. Proc Natl Acad Sci 109(12):4690–4695
8. Brewer JA, Worhunsky PD, Carroll KM, Rounsaville BJ, Potenza MN (2008) Pretreatment brain activation during Stroop task is associated with outcomes in cocaine-dependent patients. Biol Psychiatry 64(11):998–1004
9. Casey B, Jones R, Hare T (2008) The adolescent brain. Ann N Y Acad Sci 1124(1):111–126
10. Chen G, Hamilton JP, Thomason ME, Gotlib IH, Saad ZS, Cox RW (2009) Granger causality via vector auto-regression tuned for FMRI data analysis. In: ISMRM 17th Scientific Meeting. Hawaii, 2009
11. Christakis D (2010) Internet addiction: a 21st century epidemic? BMC Med 8(1):61
12. Damoiseaux J, Rombouts S, Barkhof F, Scheltens P, Stam C, Smith SM, Beckmann C (2006) Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci 103(37):13848–13853
13. Di X, Biswal BB (2013) Dynamic brain functional connectivity modulated by resting-state networks. Brain Struct Funct 1–10
14. Ding W-N, Sun J-H, Sun Y-W, Zhou Y, Li L, Xu J-R, Du Y-S (2013) Altered default network resting-state functional connectivity in adolescents with internet gaming addiction. PLoS One 8(3):e59902
15. Dong G, Zhou H, Zhao X (2011) Male internet addicts show impaired executive control ability: evidence from a color-word Stroop task. Neurosci Lett 499:114–118
16. Dong G, DeVito EE, Du X, Cui Z (2012) Impaired inhibitory control in “internet addiction disorder”: a functional magnetic resonance imaging study. Psychiatry Res Neuroimaging 203:153–158
17. Dong G, Shen Y, Huang J, Du X (2013) Impaired Error-Monitoring Function in People with internet addiction disorder: an event-related fMRI study. Eur Addict Res 19(5):269–275
18. Duncan J (2001) An adaptive coding model of neural function in prefrontal cortex. Nat Rev Neurosci 2(11):820–829
19. Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME (2005) The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci USA 102(27):9673–9678
20. Fox MD, Snyder AZ, Vincent JL, Raichle ME (2007) Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior. Neuron 56(1):171–184
21. Giedd JN, Blumenthal J, Jeffries NO, Castellanos FX, Liu H, Zijdenbos A, Paus T, Evans AC, Rapoport JL (1999) Brain development during childhood and adolescence: a longitudinal MRI study. Nat Neurosci 2(10):861–863
22. Goldstein RZ, Volkow ND (2011) Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nat Rev Neurosci 12(11):652–669
23. Granger CW (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica J Econom Soc 37:424–438
24. Greicius MD, Krasnow B, Reiss AL, Menon V (2003) Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci 100(1):253–258
25. Hamilton JP, Chen G, Thomason ME, Schwartz ME, Gotlib IH (2010) Investigating neural primacy in major depressive disorder: multivariate Granger causality analysis of resting-state fMRI time-series data. Mol Psychiatry 16(7):763–772
26. Hampson M, Driesen N, Roth JK, Gore JC, Constable RT (2010) Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance. Magn Reson Imaging 28(8):1051–1057
27. Hesselmann G, Kell CA, Eger E, Kleinschmidt A (2008) Spontaneous local variations in ongoing neural activity bias perceptual decisions. Proc Natl Acad Sci 105(31):10984–10989
28. Holden C (2001) ‘Behavioral’ addictions: do they exist? Science 294(5544):980–982
29. Kelly A, Uddin LQ, Biswal BB, Castellanos FX, Milham MP (2008) Competition between functional brain networks mediates behavioral variability. Neuroimage 39(1):527–537
30. Kerns JG, Cohen JD, MacDonald AW, Cho RY, Stenger VA, Carter CS (2004) Anterior cingulate conflict monitoring and adjustments in control. Science 303(5660):1023–1026
31. Ko C, Liu G, Hsiao S, Yen J, Yang M, Lin W, Yen C, Chen C (2009) Brain activities associated with gaming urge of online gaming addiction. J Psychiatr Res 43(7):739–747
32. Ko C-H, Liu G-C, Yen J-Y, Chen C-Y, Yen C-F, Chen C-S (2013) Brain correlates of craving for online gaming under cue exposure in subjects with internet gaming addiction and in remitted subjects. Addict Biol 18(3):559–569
33. Koob GF, Volkow ND (2009) Neurocircuitry of addiction. Neuropsychopharmacology 35(1):217–238
34. Kühn S, Gallinat J (2014) Brains online: structural and functional correlates of habitual internet use. Addict Biol
35. Li B, Friston KJ, Liu J, Liu Y, Zhang G, Cao F, Su L, Yao S, Lu H, Hu D (2014) Impaired frontal-basal ganglia connectivity in adolescents with internet addiction. Sci Rep 4:5027
36. Matsumoto K, Tanaka K (2004) Conflict and cognitive control. Science 303(5660):969–970
37. Menon V (2011) Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn Sci 15(10):483–506
38. Moeller S, Tomasi D, Honorio J, Volkow N, Goldstein R (2012) Dopaminergic involvement during mental fatigue in health and cocaine addiction. Transl Psychiatry 2(10):e176
39. Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9(1):97–113
40. Patel AX, Kundu P, Rubinov M, Jones PS, Vértes PE, Ersche KD, Suckling J, Bullmore ET (2014) A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series. NeuroImage 95:287–304
41. Petrides M (2005) Lateral prefrontal cortex: architectonic and functional organization. Philos Trans R Soc B Biol Sci 360(1456):781–795
42. Petry NM, O’Brien CP (2013) Internet gaming disorder and the DSM-5. Addiction 108:1186–1187
43. Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL (2001) A default mode of brain function. Proc Natl Acad Sci 98(2):676–682
44. Ridderinkhof KR, van den Wildenberg WP, Segalowitz SJ, Carter CS (2004) Neurocognitive mechanisms of cognitive control: the role of prefrontal cortex in action selection, response inhibition, performance monitoring, and reward-based learning. Brain Cogn 56(2):129–140
45. Rosenberg J, Maximov II, Reske M, Grinberg F, Shah NJ (2014) “Early to bed, early to rise”: diffusion tensor imaging identifies chronotype-specificity. NeuroImage 84:428–434
46. Schmaal L, Goudriaan AE, Joos L, Kruse AM, Dom G, van den Brink W, Veltman DJ (2013) Modafinil modulates resting-state functional network connectivity and cognitive control in alcohol-dependent patients. Biol Psychiatry 73:789–795
47. Seeley WW, Menon V, Schatzberg AF, Keller J, Glover GH, Kenna H, Reiss AL, Greicius MD (2007) Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci 27(9):2349–2356
48. Spreng RN, Stevens WD, Chamberlain JP, Gilmore AW, Schacter DL (2010) Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition. Neuroimage 53(1):303–317
49. Sridharan D, Levitin DJ, Menon V (2008) A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proc Natl Acad Sci 105(34):12569–12574
50. Steinberg L (2005) Cognitive and affective development in adolescence. Trends Cogn Sci 9(2):69–74
51. Stone R (2009) China reins in wilder impulses in treatment of ‘internet addiction’. Science 324(5935):1630–1631
52. Streeter CC, Terhune DB, Whitfield TH, Gruber S, Sarid-Segal O, Silveri MM, Tzilos G, Afshar M, Rouse ED, Tian H (2007) Performance on the Stroop predicts treatment compliance in cocaine-dependent individuals. Neuropsychopharmacology 33(4):827–836
53. Stroop JR (1935) Studies of interference in serial verbal reactions. J Exp Psychol 18(6):643–662
54. Uddin LQ, Supekar KS, Ryali S, Menon V (2011) Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development. J Neurosci 31(50):18578–18589
55. Volkow N, Fowler J, Wang G (2003) The addicted human brain: insights from imaging studies. J Clin Investig 111(10):1444–1451
56. Wolniczak I, Cáceres-DelAguila JA, Palma-Ardiles G, Arroyo KJ, Solís-Visscher R, Paredes-Yauri S, Mego-Aquije K, Bernabe-Ortiz A (2013) Association between facebook dependence and poor sleep quality: a study in a sample of undergraduate students in Peru. PLoS One 8(3):e59087
57. Xu J, Mendrek A, Cohen MS, Monterosso J, Simon S, Jarvik M, Olmstead R, Brody AL, Ernst M, London ED (2006) Effect of cigarette smoking on prefrontal cortical function in nondeprived smokers performing the Stroop Task. Neuropsychopharmacology 32(6):1421–1428
58. Yen CF, Yen JUYU, Ko CH (2010) Internet addiction: ongoing research in Asia. World Psychiatry 9(2):97
59. Young K (1998) Internet addiction: the emergence of a new clinical disorder. CyberPsychol Behav 1(3):237–244
60. Young K (2010) Internet addiction over the decade: a personal look back. World Psychiatry 9(2):91
61. Yuan K, Qin W, Liu Y, Tian J (2011a) Internet addiction: neuroimaging findings. Commun Integr Biol 4(6):637–639
62. Yuan K, Qin W, Wang G, Zeng F, Zhao L, Yang X, Liu P, Liu J, Sun J, von Deneen KM (2011b) Microstructure Abnormalities in Adolescents with Internet Addiction Disorder. PLoS One 6(6):e20708
63. Yuan K, Cheng P, Dong T, Bi Y, Xing L, Yu D, Zhao L, Dong M, von Deneen KM, Liu Y (2013a) Cortical thickness abnormalities in late adolescence with online gaming addiction. PLoS One 8(1):e53055
64. Yuan K, Jin C, Cheng P, Yang X, Dong T, Bi Y, Xing L, von Deneen KM, Yu D, Liu J (2013b) Amplitude of low frequency fluctuation abnormalities in adolescents with online gaming addiction. PLoS One 8(11):e78708
65. Zang Z-X, Yan C-G, Dong Z-Y, Huang J, Zang Y-F (2012) Granger causality analysis implementation on MATLAB: a graphic user interface toolkit for fMRI data processing. J Neurosci Methods 203(2):418–426