15:00 - 16:30
Tue-P14-Poster II-2
Tue-Poster II-2
Room: P14
Malfunctional brain networks in problematic Internet use
Tue-P14-Poster II-203
Presented by: Eszter Áfra
Eszter Áfra 1, József Janszky 2, 3, Gábor Perlaki 2, 3, 4, Gergely Orsi 2, 3, 4, Szilvia Anett Nagy 2, 4, 5, 6, 7, Ákos Arató 2, Anna Szente 2, Husamalddin Ali Mohammad Alhour 2, Gréta Kis-Jakab 2, Gergely Darnai 1, 2, 3
1 Department of Behavioral Sciences, University of Pécs, Medical School, Pécs, Hungary, 2 Department of Neurology, University of Pécs, Medical School, Pécs, Hungary, 3 ELKH-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary, 4 Pécs Diagnostic Centre, Pécs, Hungary, 5 Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary, 6 Neurobiology of Stress Research Group, Szentágothai Research Centre, University of Pécs, Pécs, Hungary, 7 Department of Laboratory Medicine, Medical School, University of Pécs, Pécs, Hungary
For the last three decades, Internet has become permanent in our everyday life. However, the limitless avaibility of the Internet and Internet related activities can lead to general Internet dependence. Currently, Internet related missuse has became the fastest growing behavioural addiction.

In this study, three addiction forms, problematic Internet use, smartphone addiction and social media addiction were assessed with self-reported questionnaires and to examine functional brain networks, Resting-state magnetic resonance imaging was aquired. Independent component analysis were applied on the discovered Resting-state networks to estimate within network differencies. Significant negative associations were found with problematic smartphone, social media and Internet use in the previously defined Resting-state networks. Our study suggests that problematic Internet, smartphone and social media use can cause alterations in sensory processing and higher cognitive functioning.
Keywords: problematic internet use, functional magnetic resonance imaging, resting-state, functional brain networks, language network, visual network