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      Internet addiction associated with right pars opercularis in females


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          Background and aims

          Structural differences in higher-order brain areas are common features of behavioral addictions, including Internet addiction (IA) as well. Taking into consideration the limited number of studies and methods used in previous studies on IA, our aim was to investigate the correlates of IA and the morphometry of the frontal lobes.


          To observe these relationships, the high-resolution T1-weighted MR images of 144 healthy, Caucasian, university students were analyzed with volumetry and voxel-based morphometry. The Problematic Internet Use Questionnaire (PIUQ) was used to assess IA.


          We found significant correlations between PIUQ subscales and the volume of the right pars opercularis volume and gray matter mass in women.

          Discussion and conclusion

          The increased gray matter measures of this structure might be explained with the extended effort to control for the impulsive behavior in addiction, and with the increased number of social interactions via the Internet.

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          Most cited references26

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          Internet addiction and problematic Internet use: A systematic review of clinical research.

          To provide a comprehensive overview of clinical studies on the clinical picture of Internet-use related addictions from a holistic perspective. A literature search was conducted using the database Web of Science.
            • Record: found
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            Is Open Access

            Including gaming disorder in the ICD-11: The need to do so from a clinical and public health perspective

            The proposed introduction of gaming disorder (GD) in the 11th revision of the International Classification of Diseases (ICD-11) developed by the World Health Organization (WHO) has led to a lively debate over the past year. Besides the broad support for the decision in the academic press, a recent publication by van Rooij et al. (2018) repeated the criticism raised against the inclusion of GD in ICD-11 by Aarseth et al. (2017). We argue that this group of researchers fails to recognize the clinical and public health considerations, which support the WHO perspective. It is important to recognize a range of biases that may influence this debate; in particular, the gaming industry may wish to diminish its responsibility by claiming that GD is not a public health problem, a position which maybe supported by arguments from scholars based in media psychology, computer games research, communication science, and related disciplines. However, just as with any other disease or disorder in the ICD-11, the decision whether or not to include GD is based on clinical evidence and public health needs. Therefore, we reiterate our conclusion that including GD reflects the essence of the ICD and will facilitate treatment and prevention for those who need it.
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              Is it meaningful to distinguish between generalized and specific Internet addiction? Evidence from a cross-cultural study from Germany, Sweden, Taiwan and China.

              It has been hypothesized that two distinctive forms of Internet addiction exist. Here, generalized Internet addiction refers to the problematic use of the Internet covering a broad range of Internet-related activities. In contrast, specific forms of Internet addiction target the problematic use of distinct online activities such as excessive online video gaming or activities in social networks.

                Author and article information

                J Behav Addict
                J Behav Addict
                Journal of Behavioral Addictions
                Akadémiai Kiadó (Budapest )
                20 January 2019
                March 2019
                : 8
                : 1
                : 162-168
                [1 ]Institute of Psychology, University of Pécs , Pécs, Hungary
                [2 ]MTA-PTE Clinical Neuroscience MR Research Group , Pécs, Hungary
                [3 ]Pécs Diagnostic Centre , Pécs, Hungary
                [4 ]Department of Neurosurgery, University of Pécs Medical School , Pécs, Hungary
                [5 ]Department of Neurology, University of Pécs Medical School , Pécs, Hungary
                Author notes
                [* ]Corresponding author: Orsolya Inhóf; Institute of Psychology, University of Pécs, 6 Ifjúság Street, Pécs, Baranya H 7624, Hungary; Phone/Fax: +36 72 501 516; E-mail: inhof.orsolya@ 123456gmail.hu
                © 2018 The Author(s)

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated. (SID_1)

                : 08 June 2018
                : 15 November 2018
                : 24 November 2018
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 36, Pages: 7
                Funding sources: This paper was supported by the PTE ÁOK-KA-2017-05 and PTE ÁOK-KA-2017-06, Hungarian Brain Research Program 20017-1.2.1-NKP-2017-00002 and KTIA_NAP_13-2-2014-0019 government-based funds, EFOP-3.6.2-16-2017-00008 “ The role of neuro-inflammation in neurodegeneration: From molecules to clinics,” 17886-4/2018/FEKUTSTRAT, 20765/3/2018/FEKUTSTRAT, ÚNKP-17-3-I.-PTE-173, ÚNKP-17- 4-I.-PTE-311, ÚNKP-17-4-I-PTE-76, ÚNKP-17-4-III-PTE-93, and ÚNKP-17-3-III-PTE-315 New National Excellence Program of the Ministry of Human Capacities. NK and JJ were supported by the SNN125143 research grant. GP and GO were supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.
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                internet addiction,pars opercularis,volumetry,gender differences


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