Literature DB >> 30178423

Sex differences in resting-state cerebral activity alterations in internet gaming disorder.

Yawen Sun1, Yao Wang1, Xu Han1, Wenqing Jiang2, Weina Ding1, Mengqiu Cao1, Yasong Du2, Fuchun Lin3, Jianrong Xu1, Yan Zhou4.   

Abstract

Although evidence has shown that the prevalence rates of Internet gaming disorder (IGD) differ between males and females, few studies have examined whether such sex differences extend to brain function. This study aimed to explore the sex differences in resting-state cerebral activity alterations in IGD. Thirty male participants with IGD (IGDm), 23 female participants with IGD (IGDf), and 30 male and 22 female age-matched healthy controls (HC) underwent resting-state functional MRI. Maps of the amplitude of low-frequency fluctuation (ALFF) and functional connectivity (FC) were constructed. A two-factor ANCOVA model was performed, with sex and diagnosis as the between-subject factors. Then, post hoc pair-wise comparisons were performed using two-sample t-tests within the interaction masks. The Barratt Impulsiveness Scale-11 (BIS-11) was used to assess the behavioral inhibition function. We found that the ALFF values in the orbital part of the left superior frontal gyrus (SFG) were lower in IGDm than in HCm, which were negatively correlated with BIS-11 scores. IGDm also demonstrated lower connectivity between the orbital part of the left SFG and the posterior cingulate cortex (PCC), the right angular gyrus, and the right dorsolateral prefrontal cortex than HCm. Furthermore, IGDm had lower seed connectivity between the orbital part of the left SFG and the PCC than ICDf. Our findings suggest that (1) the altered ALFF values in the orbital part of the left SFG represent a clinically relevant biomarker for the behavioral inhibition function of IGDm; (2) IGD may interact with sex-specific patterns of FC in male and female subjects.

Entities:  

Keywords:  Amplitude of low-frequency fluctuation; Functional connectivity; Internet gaming disorder; Resting-state functional magnetic resonance imaging; Sex differences

Year:  2019        PMID: 30178423     DOI: 10.1007/s11682-018-9955-4

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  8 in total

1.  Interaction Between Smoking and Internet Gaming Disorder on Spontaneous Brain Activity.

Authors:  Xianxin Qiu; Xu Han; Yao Wang; Weina Ding; Yawen Sun; Yan Zhou; Hao Lei; Fuchun Lin
Journal:  Front Psychiatry       Date:  2020-12-03       Impact factor: 4.157

2.  Functional Neural Alterations in Pathological Internet Use: A Meta-Analysis of Neuroimaging Studies.

Authors:  Wei Peng; Qinghong Hao; Heng Gao; Yang Wang; Jun Wang; Yang Tu; Siyi Yu; Hui Li; Tianmin Zhu
Journal:  Front Neurol       Date:  2022-04-18       Impact factor: 4.003

3.  Body Image Concerns: The Impact of Digital Technologies and Psychopathological Risks in a Normative Sample of Adolescents.

Authors:  Martina Mesce; Luca Cerniglia; Silvia Cimino
Journal:  Behav Sci (Basel)       Date:  2022-07-27

Review 4.  Neurobiological mechanisms underlying internet gaming disorder
.

Authors:  Aviv Weinstein; Michel Lejoyeux
Journal:  Dialogues Clin Neurosci       Date:  2020-06       Impact factor: 5.986

5.  A latent profile approach for the study of internet gaming disorder, social media addiction, and psychopathology in a normative sample of adolescents.

Authors:  Luca Cerniglia; Mark D Griffiths; Silvia Cimino; Valeria De Palo; Lucia Monacis; Maria Sinatra; Renata Tambelli
Journal:  Psychol Res Behav Manag       Date:  2019-08-13

6.  Altered core networks of brain connectivity and personality traits in internet gaming disorder.

Authors:  Ji-Won Chun; Chang-Hyun Park; Jin-Young Kim; Jihye Choi; Hyun Cho; Dong Jin Jung; Kook-Jin Ahn; Jung-Seok Choi; Dai-Jin Kim; In Young Choi
Journal:  J Behav Addict       Date:  2020-04-01       Impact factor: 6.756

Review 7.  Comparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder.

Authors:  Karen M von Deneen; Hadi Hussain; Junaid Waheed; Wen Xinwen; Dahua Yu; Kai Yuan
Journal:  J Behav Addict       Date:  2022-01-19       Impact factor: 7.772

8.  Shared gray matter alterations in individuals with diverse behavioral addictions: A voxel-wise meta-analysis.

Authors:  Kun Qin; Feifei Zhang; Taolin Chen; Lei Li; Wenbin Li; Xueling Suo; Du Lei; Graham J Kemp; Qiyong Gong
Journal:  J Behav Addict       Date:  2020-04-01       Impact factor: 6.756

  8 in total

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