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Structural Brain Imaging and Internet Addiction

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Internet Addiction

Abstract

In recent years, neuroimaging techniques have increasingly been used to study Internet addiction disorder (IAD), with the aim of identifying functional and structural changes in the brain, which may constitute the neurological/psychiatric causes of IAD. This chapter reviews current neuroimaging findings concerning brain structural changes associated with IAD. To aid readers in understanding these findings, the commonly used structural imaging methodologies—primarily, magnetic resonance imaging (MRI)—are also outlined. The literature review clearly demonstrates that IAD is associated with neuroanatomical changes involving prefrontal cortex, thalamus, and other brain regions. At least some of these changes appear to correlate with behavioral assessments of IAD. More importantly, these data suggest that the pattern of IAD-related structural differences in the brain resemble, to some extent, those changes observed in substance addiction.

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References

  • Aboujaoude E (2010) Problematic internet use: an overview. World Psychiatry 9:85–90

    Google Scholar 

  • Alicata D, Chang L, Cloak C et al (2009) Higher diffusion in striatum and lower fractional anisotropy in white matter of methamphetamine users. Psychiatry Res Neuroimaging 174:1–8

    Article  Google Scholar 

  • Ashburner J, Friston KJ (2000) Voxel-based morphometry—the methods. Neuroimage 11:805–821

    Article  Google Scholar 

  • Barros-Loscertales A, Garavan H, Bustamante JC et al (2011) Reduced striatal volume in cocaine-dependent patients. Neuroimage 56:1021–1026

    Article  Google Scholar 

  • Basser PJ, Mattiello J, Lebihan D (1994a) Estimation of the effective self-diffusion tensor from the NMR spin-echo. J Magn Reson 103:247–254

    Article  Google Scholar 

  • Basser PJ, Mattiello J, Lebihan D (1994b) MR diffusion tensor spectroscopy and imaging. Biophys J 66:259–267

    Article  Google Scholar 

  • Basser PJ, Pajevic S, Pierpaoli C et al (2000) In vivo fiber tractography using DT-MRI data. Magn Reson Med 44:625–632

    Article  Google Scholar 

  • Basser PJ, Pierpaoli C (1996) Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson 111:209–219

    Article  Google Scholar 

  • Bava S, Frank LR, McQueeny T et al (2009) Altered white matter microstructure in adolescent substance users. Psychiatry Res Neuroimaging 173:228–237

    Article  Google Scholar 

  • Beard KW, Wolf EM (2001) Modification in the proposed diagnostic criteria for internet addiction. CyberPsychol Behav 4:377–383

    Article  Google Scholar 

  • Bernardi S, Pallanti S (2009) Internet addiction: a descriptive clinical study focusing on comorbidities and dissociative symptoms. Compr Psychiatry 50:510–516

    Article  Google Scholar 

  • Blake R, Shiffrar M (2007) Perception of human motion. Annu Rev Psychol 58:47–73

    Article  Google Scholar 

  • Bora E, Yucel M, Fornito A et al (2012) White matter microstructure in opiate addiction. Addict Biol 17:141–148

    Article  Google Scholar 

  • Chakraborty K, Basu D, Vijaya Kumar KG (2010) Internet addiction: consensus, controversies, and the way ahead. East Asian Arch Psychiatry 20:123–132

    Google Scholar 

  • Chan RCK, Shum D, Toulopoulou T et al (2008) Assessment of executive functions: review of instruments and identification of critical issues. Arch Clin Neuropsychol 23:201–216

    Article  Google Scholar 

  • Conturo TE, Lori NF, Cull TS et al (1999) Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci 96:10422–10427

    Article  Google Scholar 

  • Corbit LH, Muir JL, Balleine BW (2003) Lesions of mediodorsal thalamus and anterior thalamic nuclei produce dissociable effects on instrumental conditioning in rats. Eur J Neurosci 18:1286–1294

    Article  Google Scholar 

  • De Bellis MD, Van Voorhees E, Hooper SR et al (2008) Diffusion tensor measures of the corpus callosum in adolescents with adolescent onset alcohol use disorders. Alcohol Clin Exp Res 32:395–404

    Article  Google Scholar 

  • Delacoste MC, Kirkpatrick JB, Ross ED (1985) Topography of the human corpus callosum. J Neuropathol Exp Neurol 44:578–591

    Article  Google Scholar 

  • Dell’Acqua F, Catani M (2012) Structural human brain networks: hot topics in diffusion tractography. Curr Opin Neurol 375–383

    Google Scholar 

  • Dong G, DeVito E, Huang J et al (2012) Diffusion tensor imaging reveals thalamus and posterior cingulate cortex abnormalities in internet gaming addicts. J Psychiatr Res 46:1212–1216

    Article  Google Scholar 

  • Douglas AC, Mills JE, Niang M et al (2008) Internet addiction: meta-synthesis of qualitative research for the decade 1996–2006. Comput Hum Behav 24:3027–3044

    Article  Google Scholar 

  • Ersche KD, Williams GB, Robbins TW et al (2013) Meta-analysis of structural brain abnormalities associated with stimulant drug dependence and neuroimaging of addiction vulnerability and resilience. Curr Opin Neurobiol 23:615–624

    Article  Google Scholar 

  • Franklin TR, Acton PD, Maldjian JA et al (2002) Decreased gray matter concentration in the insular, orbitofrontal, cingulate, and temporal cortices of cocaine patients. Biol Psychiatry 51:134–142

    Article  Google Scholar 

  • Goldstein RZ, Volkow ND (2011) Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nat Rev Neurosci 12:652–669

    Article  Google Scholar 

  • Han DH, Lyoo IK, Renshaw PF (2012) Differential regional gray matter volumes in patients with online game addiction and professional gamers. J Psychiatr Res 46:507–515

    Article  Google Scholar 

  • Holden C (2001) ‘Behavioral’ addictions: do they exist? Science 294:980–982

    Article  Google Scholar 

  • Hong SB, Kim JW, Choi EJ et al (2013) Reduced orbitofrontal cortical thickness in male adolescents with internet addiction. Behav Brain Funct 9:11

    Article  Google Scholar 

  • Jones DK, Symms MR, Cercignani M et al (2005) The effect of filter size on VBM analyses of DT-MRI data. Neuroimage 26:546–554

    Article  Google Scholar 

  • Joutsa J, Saunavaara J, Parkkola R et al (2011) Extensive abnormality of brain white matter integrity in pathological gambling. Psychiatry Res Neuroimaging 194:340–346

    Article  Google Scholar 

  • Kim SJ, Lyoo IK, Hwang J et al (2006) Prefrontal grey-matter changes in short-term and long-term abstinent methamphetamine abusers. Int J Neuropsychopharmacol 9:221–228

    Article  Google Scholar 

  • Ko CH, Yen JY, Yen CF et al (2012) The association between internet addiction and psychiatric disorder: a review of the literature. Eur Psychiatry 27:1–8

    Article  Google Scholar 

  • Kuss DJ, Griffiths MD, Karila L et al (2013) Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des

    Google Scholar 

  • Kuss DJ, Griffithsemail MD (2012) Internet and gaming addiction: a systematic literature review of neuroimaging studies. Brain Sci 2:347–374

    Article  Google Scholar 

  • Le Bihan D (2003) Looking into the functional architecture of the brain with diffusion MRI. Nat Rev Neurosci 4:469–480

    Article  Google Scholar 

  • Lerch JP, Pruessner JC, Zijdenbos A et al (2005) Focal decline of cortical thickness in Alzheimer’s disease identified by computational neuroanatomy. Cereb Cortex 15:995–1001

    Article  Google Scholar 

  • Liao YH, Tang JS, Liu TQ et al (2012) Differences between smokers and non-smokers in regional gray matter volumes: a voxel-based morphometry study. Addict Biol 17:977–980

    Article  Google Scholar 

  • Liao YH, Tang JS, Ma MD et al (2010) Frontal white matter abnormalities following chronic ketamine use: a diffusion tensor imaging study. Brain 133:2115–2122

    Article  Google Scholar 

  • Lim KO, Choi SJ, Pomara N et al (2002) Reduced frontal white matter integrity in cocaine dependence: a controlled diffusion tensor imaging study. Biol Psychiatry 51:890–895

    Article  Google Scholar 

  • Lim KO, Wozniak JR, Mueller BA et al (2008) Brain macrostructural and microstructural abnormalities in cocaine dependence. Drug Alcohol Depend 92:164–172

    Article  Google Scholar 

  • Lin FC, Wu GY, Zhu L et al (2013) Heavy smokers show abnormal microstructural integrity in the anterior corpus callosum: a diffusion tensor imaging study with tract-based spatial statistics. Drug Alcohol Depend 129:82–87

    Article  Google Scholar 

  • Lin FC, Yu CS, Jiang TZ et al (2006) Quantitative analysis along the pyramidal tract by length-normalized parameterization based on diffusion tensor tractography: application to patients with relapsing neuromyelitis optica. Neuroimage 33:154–160

    Article  Google Scholar 

  • Lin FC, Zhou Y, Du YS et al (2012) Abnormal white matter integrity in adolescents with internet addiction disorder: a tract-based spatial statistics study. PLoS ONE 7:e30253

    Article  Google Scholar 

  • Liu H, Li L, Hao Y et al (2008) Disrupted white matter integrity in heroin dependence: a controlled study utilizing diffusion tensor imaging. Am J Drug Alcohol Abuse 34:562–575

    Article  Google Scholar 

  • Liu HH, Hao YH, Kaneko Y et al (2009) Frontal and cingulate gray matter volume reduction in heroin dependence: optimized voxel-based morphometry. Psychiatry Clin Neurosci 63:563–568

    Article  Google Scholar 

  • Lyoo IK, Pollack MH, Silveri MM et al (2006) Prefrontal and temporal gray matter density decreases in opiate dependence. Psychopharmacology 184:139–144

    Article  Google Scholar 

  • MacDonald D, Kabani N, Avis D et al (2000) Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI. Neuroimage 12:340–356

    Article  Google Scholar 

  • Makris N, Gasic GP, Kennedy DN et al (2008a) Cortical thickness abnormalities in cocaine addiction—a reflection of both drug use and a pre-existing disposition to drug abuse? Neuron 60:174–188

    Article  Google Scholar 

  • Makris N, Oscar-Berman M, Jaffin SK et al (2008b) Decreased volume of the brain reward system in alcoholism. Biol Psychiatry 64:192–202

    Article  Google Scholar 

  • McIntosh AM, Maniega SM, Lymer GKS et al (2008) White matter tractography in bipolar disorder and schizophrenia. Biol Psychiatry 64:1088–1092

    Article  Google Scholar 

  • Mechelli A, Price CJ, Friston KJ et al (2005) Voxel-based morphometry of the human brain: methods and applications. Curr Med Imaging Rev 1:105–113

    Article  Google Scholar 

  • Morahan-Martin J (2005) Internet abuse—addiction? Disorder? Symptom? Alternative explanations? Soc Sci Comput Rev 23:39–48

    Article  Google Scholar 

  • Mori S, Crain BJ, Chacko VP et al (1999) Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol 45:265–269

    Article  Google Scholar 

  • Mori S, Wakana S, Nagae-Poetscher LM et al (2005) MRI atlas of human white matter. Elsevier, San Diego

    Google Scholar 

  • Naqvi NH, Bechara A (2009) The hidden island of addiction: the insula. Trends Neurosci 32:56–67

    Article  Google Scholar 

  • Pierpaoli C, Jezzard P, Basser PJ et al (1996) Diffusion tensor MR imaging of the human brain. Radiology 201:637–648

    Article  Google Scholar 

  • Romero MJ, Asensio S, Palau C et al (2010) Cocaine addiction: diffusion tensor imaging study of the inferior frontal and anterior cingulate white matter. Psychiatry Res Neuroimaging 181:57–63

    Article  Google Scholar 

  • Salat DH, Buckner RL, Snyder AZ et al (2004) Thinning of the cerebral cortex in aging. Cereb Cortex 14:721–730

    Article  Google Scholar 

  • Salo R, Nordahl TE, Buonocore MH et al (2009) Cognitive control and white matter callosal microstructure in methamphetamine-dependent subjects: a diffusion tensor imaging study. Biol Psychiatry 65:122–128

    Article  Google Scholar 

  • Sanchez-Gonzalez MA, Garcia-Cabezas MA, Rico B et al (2005) The primate thalamus is a key target for brain dopamine. J Neurosci 25:6076–6083

    Article  Google Scholar 

  • Schwartz DL, Mitchell AD, Lahna DL et al (2010) Global and local morphometric differences in recently abstinent methamphetamine-dependent individuals. Neuroimage 50:1392–1401

    Article  Google Scholar 

  • Smith SM, Jenkinson M, Johansen-Berg H et al (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31:1487–1505

    Article  Google Scholar 

  • Sowell ER, Peterson BS, Kan E et al (2007) Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age. Cereb Cortex 17:1550–1560

    Article  Google Scholar 

  • Upadhyay J, Maleki N, Potter J et al (2010) Alterations in brain structure and functional connectivity in prescription opioid-dependent patients. Brain 133:2098–2114

    Article  Google Scholar 

  • van Holst RJ, de Ruiter MB, van den Brink W et al (2012) A voxel-based morphometry study comparing problem gamblers, alcohol abusers, and healthy controls. Drug Alcohol Depend 124:142–148

    Article  Google Scholar 

  • Wakana S, Jiang HY, Nagae-Poetscher LM et al (2004) Fiber tract-based atlas of human white matter anatomy. Radiology 230:77–87

    Article  Google Scholar 

  • Weng CB, Qian RB, Fu XM et al (2013) Gray matter and white matter abnormalities in online game addiction. Eur J Radiol 82:1308–1312

    Article  Google Scholar 

  • Whang LS, Lee S, Chang G (2003) Internet over-users’ psychological profiles: a behavior sampling analysis on internet addiction. CyberPsychol Behav 6:143–150

    Article  Google Scholar 

  • Yen JY, Ko CH, Yen CF et al (2007) The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. J Adolesc Health 41:93–98

    Article  Google Scholar 

  • Young KS (1996) Psychology of computer use: XL. Addictive use of the Internet: a case that breaks the stereotype. Psychol Rep 79:899–902

    Article  Google Scholar 

  • Young KS (1998) Internet addiction: the emergence of a new clinical disorder. CyberPsychol Behav 1:237–244

    Article  Google Scholar 

  • Yu C, Gupta J, Yin HH (2010) The role of mediodorsal thalamus in temporal differentiation of reward-guided actions. Front Integr Neurosci 4:14

    Google Scholar 

  • Yuan K, Cheng P, Dong T et al (2013) Cortical thickness abnormalities in late adolescence with online gaming addiction. PLoS ONE 8:e53055

    Article  Google Scholar 

  • Yuan K, Qin W, Dong MH et al (2010) Gray matter deficits and resting-state abnormalities in abstinent heroin-dependent individuals. Neurosci Lett 482:101–105

    Article  Google Scholar 

  • Yuan K, Qin W, Wang G et al (2011) Microstructure abnormalities in adolescents with internet addiction disorder. PLoS ONE 6:e20708

    Article  Google Scholar 

  • Zhang XC, Salmeron BJ, Ross TJ et al (2011) Factors underlying prefrontal and insula structural alterations in smokers. Neuroimage 54:42–48

    Article  Google Scholar 

  • Zhou Y, Lin FC, Du YS et al (2011) Gray matter abnormalities in Internet addiction: a voxel-based morphometry study. Eur J Radiol 79:92–95

    Article  Google Scholar 

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Acknowledgments

This work was partially supported by grants from National Basic Research Program of China (973 Program, 2011CB707802) and Natural Science Foundation of China (81171302 and 21221064).

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Correspondence to Hao Lei .

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Lin, F., Lei, H. (2015). Structural Brain Imaging and Internet Addiction. In: Montag, C., Reuter, M. (eds) Internet Addiction. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-07242-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-07242-5_2

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