Literature DB >> 26399236

Problematic internet use is associated with structural alterations in the brain reward system in females.

Anna Altbäcker1,2, Enikő Plózer3, Gergely Darnai3, Gábor Perlaki3,4,5, Réka Horváth3, Gergely Orsi3,4,5, Szilvia Anett Nagy5,6, Péter Bogner5, Attila Schwarcz4,7, Norbert Kovács3, Sámuel Komoly3, Zsófia Clemens3,8, József Janszky3,4.   

Abstract

Neuroimaging findings suggest that excessive Internet use shows functional and structural brain changes similar to substance addiction. Even though it is still under debate whether there are gender differences in case of problematic use, previous studies by-passed this question by focusing on males only or by using gender matched approach without controlling for potential gender effects. We designed our study to find out whether there are structural correlates in the brain reward system of problematic Internet use in habitual Internet user females. T1-weighted Magnetic Resonance (MR) images were collected in 82 healthy habitual Internet user females. Structural brain measures were investigated using both automated MR volumetry and voxel based morphometry (VBM). Self-reported measures of problematic Internet use and hours spent online were also assessed. According to MR volumetry, problematic Internet use was associated with increased grey matter volume of bilateral putamen and right nucleus accumbens while decreased grey matter volume of orbitofrontal cortex (OFC). Similarly, VBM analysis revealed a significant negative association between the absolute amount of grey matter OFC and problematic Internet use. Our findings suggest structural brain alterations in the reward system usually related to addictions are present in problematic Internet use.

Entities:  

Keywords:  Automated MRI volumetry; Brain reward system; Internet addiction; MRI; Voxel-based morphometry

Mesh:

Year:  2016        PMID: 26399236     DOI: 10.1007/s11682-015-9454-9

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


  8 in total

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Authors:  Martin P Paulus; Lindsay M Squeglia; Kara Bagot; Joanna Jacobus; Rayus Kuplicki; Florence J Breslin; Jerzy Bodurka; Amanda Sheffield Morris; Wesley K Thompson; Hauke Bartsch; Susan F Tapert
Journal:  Neuroimage       Date:  2018-10-16       Impact factor: 6.556

2.  Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry.

Authors:  Konstantinos Ioannidis; Samuel R Chamberlain; Matthias S Treder; Franz Kiraly; Eric W Leppink; Sarah A Redden; Dan J Stein; Christine Lochner; Jon E Grant
Journal:  J Psychiatr Res       Date:  2016-08-15       Impact factor: 4.791

3.  Screening for Problematic Internet Use May Help Identify Impulse Control Disorders in Parkinson's Disease.

Authors:  Márton Kovács; Attila Makkos; Dávid Pintér; Annamária Juhász; Gergely Darnai; Kázmér Karádi; József Janszky; Norbert Kovács
Journal:  Behav Neurol       Date:  2019-02-03       Impact factor: 3.342

4.  Differentiation between young adult Internet addicts, smokers, and healthy controls by the interaction between impulsivity and temporal lobe thickness.

Authors:  András N Zsidó; Gergely Darnai; Orsolya Inhóf; Gábor Perlaki; Gergely Orsi; Szilvia Anett Nagy; Beatrix Lábadi; Kata Lénárd; Norbert Kovács; Tamás Dóczi; József Janszky
Journal:  J Behav Addict       Date:  2019-02-11       Impact factor: 6.756

5.  Altered Reward Processing System in Internet Gaming Disorder.

Authors:  Syeda Raiha; Guochun Yang; Lingxiao Wang; Weine Dai; Haiyan Wu; Guangteng Meng; Bowei Zhong; Xun Liu
Journal:  Front Psychiatry       Date:  2020-12-04       Impact factor: 4.157

6.  Structural gray matter differences in Problematic Usage of the Internet: a systematic review and meta-analysis.

Authors:  Jeremy E Solly; Roxanne W Hook; Jon E Grant; Samuele Cortese; Samuel R Chamberlain
Journal:  Mol Psychiatry       Date:  2021-10-12       Impact factor: 13.437

7.  Internet addiction associated with right pars opercularis in females.

Authors:  Orsolya Inhóf; András N Zsidó; Gábor Perlaki; Gergely Orsi; Beatrix Lábadi; Norbert Kovács; Anna Szente; Tamás Dóczi; József Janszky; Gergely Darnai
Journal:  J Behav Addict       Date:  2019-01-20       Impact factor: 6.756

8.  Brain morphology, harm avoidance, and the severity of excessive internet use.

Authors:  Li Wan; Rujing Zha; Jiecheng Ren; Ying Li; Qian Zhao; Huilin Zuo; Xiaochu Zhang
Journal:  Hum Brain Mapp       Date:  2022-03-25       Impact factor: 5.399

  8 in total

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