Amplitude of Low Frequency Fluctuation Abnormalities in Adolescents with Online Gaming Addiction

The majority of previous neuroimaging studies have demonstrated both structural and task-related functional abnormalities in adolescents with online gaming addiction (OGA). However, few functional magnetic resonance imaging (fMRI) studies focused on the regional intensity of spontaneous fluctuations in blood oxygen level-dependent (BOLD) during the resting state and fewer studies investigated the relationship between the abnormal resting-state properties and the impaired cognitive control ability. In the present study, we employed the amplitude of low frequency fluctuation (ALFF) method to explore the local features of spontaneous brain activity in adolescents with OGA and healthy controls during resting-state. Eighteen adolescents with OGA and 18 age-, education- and gender-matched healthy volunteers participated in this study. Compared with healthy controls, adolescents with OGA showed a significant increase in ALFF values in the left medial orbitofrontal cortex (OFC), the left precuneus, the left supplementary motor area (SMA), the right parahippocampal gyrus (PHG) and the bilateral middle cingulate cortex (MCC). The abnormalities of these regions were also detected in previous addiction studies. More importantly, we found that ALFF values of the left medial OFC and left precuneus were positively correlated with the duration of OGA in adolescents with OGA. The ALFF values of the left medial OFC were also correlated with the color-word Stroop test performance. Our results suggested that the abnormal spontaneous neuronal activity of these regions may be implicated in the underlying pathophysiology of OGA.

[1]  M. Fox,et al.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.

[2]  Kevin N. Ochsner,et al.  Neural Systems Supporting the Control of Affective and Cognitive Conflicts , 2009, Journal of Cognitive Neuroscience.

[3]  Yufeng Zang,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010 .

[4]  C. Ko,et al.  Brain correlates of craving for online gaming under cue exposure in subjects with Internet gaming addiction and in remitted subjects , 2013, Addiction biology.

[5]  Kimberly Young,et al.  Internet Addiction: The Emergence of a New Clinical Disorder , 1998, Cyberpsychology Behav. Soc. Netw..

[6]  N. Volkow,et al.  Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications , 2011, Nature Reviews Neuroscience.

[7]  J. Xiong,et al.  The power of spectral density analysis for mapping endogenous BOLD signal fluctuations , 2008, Human brain mapping.

[8]  J. Goñi,et al.  The Neural Substrate and Functional Integration of Uncertainty in Decision Making: An Information Theory Approach , 2011, PloS one.

[9]  C. Kennard,et al.  Functional role of the supplementary and pre-supplementary motor areas , 2008, Nature Reviews Neuroscience.

[10]  Y. Zang,et al.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI , 2007, Brain and Development.

[11]  Getting plugged in: An overview of Internet addiction , 2010, Journal of paediatrics and child health.

[12]  D. Christakis Internet addiction: a 21st century epidemic? , 2010, BMC medicine.

[13]  Yingli Lu,et al.  Regional homogeneity approach to fMRI data analysis , 2004, NeuroImage.

[14]  Monique Ernst,et al.  Effect of Cigarette Smoking on Prefrontal Cortical Function in Nondeprived Smokers Performing the Stroop Task , 2007, Neuropsychopharmacology.

[15]  D. Christakis Internet addiction : a 21 st century epidemic ? , 2010 .

[16]  Jie Tian,et al.  Microstructure Abnormalities in Adolescents with Internet Addiction Disorder , 2011, PloS one.

[17]  Rita Z. Goldstein,et al.  Drug addiction and its underlying neurobiological basis: neuroimaging evidence for the involvement of the frontal cortex. , 2002, The American journal of psychiatry.

[18]  Chaogan Yan,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010, Front. Syst. Neurosci..

[19]  Chaozhe Zhu,et al.  Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI , 2007, NeuroImage.

[20]  V. Murali,et al.  Lost online: an overview of internet addiction , 2007 .

[21]  C. Ko,et al.  Brain activities associated with gaming urge of online gaming addiction. , 2009, Journal of psychiatric research.

[22]  Keith W. Beard,et al.  Modification in the Proposed Diagnostic Criteria for Internet Addiction , 2001, Cyberpsychology Behav. Soc. Netw..

[23]  G. Dong,et al.  Male Internet addicts show impaired executive control ability: Evidence from a color-word Stroop task , 2011, Neuroscience Letters.

[24]  R. Engle,et al.  Executive Attention, Working Memory Capacity, and a Two-Factor Theory of Cognitive Control. , 2003 .

[25]  Yong He,et al.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. , 2007, Brain & development.

[26]  Xin Li,et al.  Increased regional homogeneity in internet addiction disorder: a resting state functional magnetic resonance imaging study. , 2010, Chinese medical journal.

[27]  Dardo Tomasi,et al.  Addiction circuitry in the human brain. , 2012, Annual review of pharmacology and toxicology.

[28]  Sang Soo Cho,et al.  Altered Regional Cerebral Glucose Metabolism in Internet Game Overusers: A 18F-fluorodeoxyglucose Positron Emission Tomography Study , 2010, CNS Spectrums.

[29]  Mikhail J. Atallah,et al.  Internet Addiction: Metasynthesis of 1996-2006 Quantitative Research , 2009, Cyberpsychology Behav. Soc. Netw..

[30]  Qiang Li,et al.  Gray matter deficits and resting-state abnormalities in abstinent heroin-dependent individuals , 2010, Neuroscience Letters.

[31]  Ning Ma,et al.  Addiction related alteration in resting-state brain connectivity , 2010, NeuroImage.

[32]  K. Yuan,et al.  Cortical Thickness Abnormalities in Late Adolescence with Online Gaming Addiction , 2013, PloS one.

[33]  Jie Tian,et al.  Internet addiction: Neuroimaging findings , 2011, Communicative & integrative biology.

[34]  A. Cavanna,et al.  The precuneus: a review of its functional anatomy and behavioural correlates. , 2006, Brain : a journal of neurology.

[35]  David Luck,et al.  The right parahippocampal gyrus contributes to the formation and maintenance of bound information in working memory , 2010, Brain and Cognition.

[36]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .