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DOI: 10.1055/a-2625-7090
Mechanismen problematischer Smartphone-Nutzung
Eine Übersicht multimodaler NeurobildgebungAutoren
Zusammenfassung
Gegenstand und Ziel Problematische Smartphone-Nutzung (PSU) wird zunehmend als Verhaltensstörung mit Merkmalen abhängigen Verhaltens diskutiert. Diese Übersichtsarbeit möchte die aktuelle multimodal bildgebende Befundlage zu PSU systematisch aufarbeiten und integrativ interpretieren. Im Zentrum steht die Frage, wie exekutive Dysregulation, Belohnungsverarbeitung und soziale Signalverarbeitung interagieren und zur Aufrechterhaltung dysfunktionaler Nutzungsmuster beitragen können. Ergänzend wird eine sozial-kognitive Perspektive für PSU skizziert.
Material und Methoden Es erfolgte eine Literaturrecherche zu multimodalem (strukturellem und funktionellem) Neuroimaging bei PSU. Die Befunde wurden integriert in das I-PACE-Modell (Interaction of Person–Affect–Cognition–Execution) internetbezogener Störungen.
Ergebnisse Die Bildgebungsdaten zeigen konsistente Auffälligkeiten in frontostriatalen und frontolimbischen Netzwerken, die mit reduzierter exekutiver Kontrolle, erhöhter Reizreaktivität und veränderter Gehirnaktivität auf sozial konnotierte Reize einhergehen. Insbesondere bei Verarbeitung Smartphone-bezogener Belohnungssignale zeigen sich Überlappungen mit neuronalen Mustern sozialer Ausgrenzungsverarbeitung. Sozial-kognitive Verzerrungen mit verstärkenden Folgen für die Nutzungsmotivation könnten eine bedeutsame Komponente bei der Entstehung von PSU sein.
Schlussfolgerung/klinische Relevanz PSU kann als multifaktorielles, dynamisches Zusammenspiel neurobiologischer Disposition, affektiver Reaktivität, kognitiver Verzerrungen und exekutiver Kontrolldefizite verstanden werden. Person- und situationsspezifische Faktoren wirken dabei wechselseitig verstärkend und führen im Kontext repetitiver digitaler Nutzung zur Etablierung automatisierter, schwer kontrollierbarer Verhaltensroutinen. Soziale Verstärkungsprozesse entfalten innerhalb dieser Dynamik eine möglicherweise zentrale Bedeutung für die Entwicklung und Aufrechterhaltung der PSU. Ein sozial-kognitives Modell der PSU könnte damit auch neue Perspektiven für Prävention und Therapie fördern.
Abstract
Aims Problematic smartphone use (PSU) is increasingly discussed as a behavioral disorder characterized by addictive features. This review aims to systematically synthesize and interpret current findings from multimodal neuroimaging studies on PSU. Central to this analysis is the question of how executive dysregulation, reward processing, and cue reactivity interact and contribute to the maintenance of dysfunctional smartphone use patterns. Additionally, a social-cognitive framework for PSU is proposed.
Materials and Methods A structured literature search was conducted focusing on structural and functional neuroimaging studies in PSU. Main findings were embedded within the framework of the I-PACE (Interaction of Person–Affect–Cognition–Execution) model.
Results Imaging data reveal consistent abnormalities in frontostriatal and frontolimbic networks, associated with reduced executive control, increased cue-reactivity, and altered neural responses to socially salient stimuli. Processing of smartphone-related reward cues shows notable overlap with brain activation patterns linked to social cognitive processes. Social-cognitive distortions that reinforce motivational salience may represent a key component in the development of PSU.
Conclusion PSU can be understood as the outcome of a multifactorial and dynamic interaction between neurobiological predisposition, affective reactivity, cognitive bias, and deficits in executive control. Both individual and context-specific factors mutually amplify each other, fostering the formation of automatic behavioral routines in the context of repetitive digital engagement. Within this dynamics, socially mediated reinforcement may play a central role in the development and persistence of PSU. A social-cognitive model of PSU could therefore offer valuable new directions for both prevention and treatment.
Publikationsverlauf
Artikel online veröffentlicht:
07. November 2025
© 2025. Thieme. All rights reserved.
Georg Thieme Verlag KG
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Literatur
- 1 Statista. Smartphone-Nutzung in Deutschland. Zugriff am 30. April 2025 unter: https://de.statista.com/themen/6137/smartphone-nutzung-in-deutschland/
- 2 De-Sola Gutierrez J, Rodriguez de Fonseca F, Rubio G. Cell-phone addiction: a review. Front Psychiatry 2016; 7: 175
- 3 Sohn S, Rees P, Wildridge B. et al. Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, meta-analysis and GRADE of the evidence. BMC Psychiatry 2019; 19: 356
- 4 Mac Cárthaigh S. The effectiveness of interventions to reduce excessive mobile device usage among adolescents: a systematic review. Neurol Psychiatry Brain Res 2020; 35: 29-37
- 5 Zhang M, Chi C, Liu Q. et al. Prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder among medical college students. Front Public Health 2024; 12: 1362121
- 6 Panova T, Carbonell X. Is smartphone addiction really an addiction?. J Behav Addict 2018; 7: 252-259
- 7 Montag C, Wegmann E, Sariyska R. et al. How to overcome taxonomical problems in the study of internet use disorders and what to do with „smartphone addiction“?. J Behav Addict 2019; 8: 1-7
- 8 James RJE, Dixon G, Dragomir MG. et al. Understanding the construction of ‚behavior‘ in smartphone addiction: a scoping review. Addict Behav 2023; 137: 107503
- 9 Kwako LE, Bickel WK, Goldman D. Addiction biomarkers: dimensional approaches to understanding addiction. Trends Mol Med 2018; 24: 121-128
- 10 Schmitgen MM, Horvath J, Mundinger C. et al. Neural correlates of cue reactivity in individuals with smartphone addiction. Addict Behav 2020; 108: 106422
- 11 Wolf ND, Wolf RC. „Smartphone addiction”: fakt oder fiktion? eine narrative Übersicht zu einem neuen Phänomen. Nervenheilkunde 2020; 39: 810-816
- 12 Henemann GM, Schmitgen MM, Wolf ND. et al. Cognitive domain-independent aberrant frontoparietal network strength in individuals with excessive smartphone use. Psychiatry Res Neuroimaging 2023; 329: 111593
- 13 Lin HM, Chang YT, Chen MH. et al. Structural and functional neural correlates in individuals with excessive smartphone use: a systematic review and meta-analysis. Int J Environ Res Public Health 2022; 19
- 14 Brand M, Wegmann E, Stark R. et al. The interaction of person-affect-cognition-execution (I-PACE) model for addictive behaviors: update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neurosci Biobehav Rev 2019; 104: 1-10
- 15 Lin YH, Chang LR, Lee YH. et al. Development and validation of the smartphone addiction inventory (SPAI). PLoS One 2014; 9: e98312
- 16 Horvath J, Mundinger C, Schmitgen MM. et al. Structural and functional correlates of smartphone addiction. Addict Behav 2020; 105: 106334
- 17 Hirjak D, Henemann GM, Schmitgen MM. et al. Cortical surface variation in individuals with excessive smartphone use. Dev Neurobiol 2022; 82: 277-287
- 18 Kim D, Lee Y, Lee J. et al. Development of Korean smartphone addiction proneness scale for youth. PLoS One 2014; 9: e97920
- 19 Lee D, Namkoong K, Lee J. et al. Lateral orbitofrontal gray matter abnormalities in subjects with problematic smartphone use. J Behav Addict 2019; 8: 404-411
- 20 Zou L, Wu X, Tao S. et al. Anterior cingulate gyrus acts as a moderator of the relationship between problematic mobile phone use and depressive symptoms in college students. Soc Cogn Affect Neurosci 2021; 16: 484-491
- 21 Wang L, Zhou X, Song X. et al. Fear of missing out (FOMO) associates with reduced cortical thickness in core regions of the posterior default mode network and higher levels of problematic smartphone and social media use. Addict Behav 2023; 143: 107709
- 22 Zhang Y, Shang S, Tian L. et al. The association between fear of missing out and mobile phone addiction: a meta-analysis. BMC Psychol 2023; 11: 338
- 23 Yoo JH, Chun JW, Choi MR. et al. Caudate nucleus volume mediates the link between glutamatergic neurotransmission and problematic smartphone use in youth. J Behav Addict 2021; 10: 338-346
- 24 Cho IH, Yoo JH, Chun JW. et al. Reduced volume of a brainstem substructure in adolescents with problematic smartphone use. Soa Chongsonyon Chongsin Uihak 2021; 32: 137-143
- 25 Hu Y, Long X, Lyu H. et al. Alterations in white matter integrity in young adults with smartphone dependence. Front Hum Neurosci 2017; 11: 532
- 26 Tymofiyeva O, Yuan JP, Kidambi R. et al. Neural correlates of smartphone dependence in adolescents. Front Hum Neurosci 2020; 14: 564629
- 27 Wang Y, Zou Z, Song H. et al. Altered gray matter volume and white matter integrity in college students with mobile phone dependence. Front Psychol 2016; 7: 597
- 28 Rosazza C, Minati L. Resting-state brain networks: literature review and clinical applications. Neurol Sci 2011; 32: 773-785
- 29 Paik SH, Park CH, Kim JY. et al. Prolonged bedtime smartphone use is associated with altered resting-state functional connectivity of the insula in adult smartphone users. Front Psychiatry 2019; 10: 516
- 30 Chun JW, Choi J, Cho H. et al. Role of frontostriatal connectivity in adolescents with excessive smartphone use. Front Psychiatry 2018; 9: 437
- 31 Pyeon A, Choi J, Cho H. et al. Altered connectivity in the right inferior frontal gyrus associated with self-control in adolescents exhibiting problematic smartphone use: a fMRI study. J Behav Addict 2021; 10: 1048-1060
- 32 Schmitgen MM, Wolf ND, Sambataro F. et al. Aberrant intrinsic neural network strength in individuals with „smartphone addiction“: an MRI data fusion study. Brain Behav 2022; 12: e2739
- 33 Afra E, Janszky J, Perlaki G. et al. Altered functional brain networks in problematic smartphone and social media use: resting-state fMRI study. Brain Imaging Behav 2024; 18: 292-301
- 34 Kwon M, Jung YC, Lee D. et al. Altered resting-state functional connectivity of the dorsal anterior cingulate cortex with intrinsic brain networks in male problematic smartphone users. Front Psychiatry 2022; 13: 1008557
- 35 Ahn J, Lee D, Namkoong K. et al. Altered functional connectivity of the salience network in problematic smartphone users. Front Psychiatry 2021; 12: 636730
- 36 Liu D, Liu X, Long Y. et al. Problematic smartphone use is associated with differences in static and dynamic brain functional connectivity in young adults. Front Neurosci 2022; 16: 1010488
- 37 Arato A, Nagy SA, Perlaki G. et al. Emotional face expression recognition in problematic internet use and excessive smartphone use: task-based fMRI study. Sci Rep 2023; 13: 354
- 38 Chun JW, Choi J, Kim JY. et al. Altered brain activity and the effect of personality traits in excessive smartphone use during facial emotion processing. Sci Rep 2017; 7: 12156
- 39 Han SW, Kim CH. Neurocognitive mechanisms underlying internet/smartphone addiction: a preliminary fMRI study. Tomography 2022; 8: 1781-1790
- 40 Asao A, Yamaguchi D, Morishita S. et al. Mental workload and prefrontal brain activity during silent reading task in university students with problematic smartphone use. Adv Exp Med Biol 2024; 1463: 103-107
- 41 Starcke K, Antons S, Trotzke P. et al. Cue-reactivity in behavioral addictions: a meta-analysis and methodological considerations. J Behav Addict 2018; 7: 227-238
- 42 Noori HR, Cosa Linan A, Spanagel R. Largely overlapping neuronal substrates of reactivity to drug, gambling, food and sexual cues: a comprehensive meta-analysis. Eur Neuropsychopharmacol 2016; 26: 1419-1430
- 43 Henemann GM, Schmitgen MM, Wolf ND. et al. Neurochemical correlates of cue reactivity in individuals with excessive smartphone use. Eur Addict Res 2023; 29: 71-75
- 44 Oweda J, Schmitgen MM, Henemann GM. et al. Machine learning based classification of excessive smartphone users via neuronal cue reactivity. Psychiatry Res Neuroimaging 2025; 346: 111903
- 45 Luque-Reca O, Marchena-Giraldez C, Carbonell-Colomer M. et al. Social aspects of problematic smartphone use: development and validation of the PSSNUS and mental health implications for Spanish youth. Psychol Res Behav Manag 2024; 17: 3919-3942
- 46 Youn S. Connecting through technology: smartphone users’ social cognitive and emotional motivations. Soc Sci 2019; 8
- 47 Holte AJ, Fisher WN, Ferraro FR. Afraid of social exclusion: fear of missing out predicts cyberball-induced ostracism. J Technol Behav Sci 2022; 7: 315-324
- 48 Henemann GM, Schmitgen MM, Haage SH. et al. Neuronal correlates of social exclusion in individuals with excessive smartphone use. Preprint in SSRN 2025 Zugriff am 04. September 2025 unter: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5191738
- 49 Vijayakumar N, Cheng TW, Pfeifer JH. Neural correlates of social exclusion across ages: a coordinate-based meta-analysis of functional MRI studies. Neuroimage 2017; 153: 359-368
- 50 Rotge JY, Lemogne C, Hinfray S. et al. A meta-analysis of the anterior cingulate contribution to social pain. Soc Cogn Affect Neurosci 2015; 10: 19-27
- 51 Zou L, Wu X, Tao S. et al. Functional connectivity between the parahippocampal gyrus and the middle temporal gyrus moderates the relationship between problematic mobile phone use and depressive symptoms: evidence from a longitudinal study. J Behav Addict 2022; 11: 40-48
- 52 Schmitgen MM, Henemann GM, Koenig J. et al. Effects of smartphone restriction on cue-related neural activity. Comput Human Behav 2025 167.
- 53 Zilverstand A, Huang AS, Alia-Klein N. et al. Neuroimaging impaired response inhibition and salience attribution in human drug addiction: a systematic review. Neuron 2018; 98: 886-903
- 54 Brand M, Muller A, Wegmann E. et al. Current interpretations of the I-PACE model of behavioral addictions. J Behav Addict 2025; 14: 1-17
- 55 Martins D, Rademacher L, Gabay AS. et al. Mapping social reward and punishment processing in the human brain: a voxel-based meta-analysis of neuroimaging findings using the social incentive delay task. Neurosci Biobehav Rev 2021; 122: 1-17
- 56 Morawetz C, Basten U. Neural underpinnings of individual differences in emotion regulation: a systematic review. Neurosci Biobehav Rev 2024; 162: 105727
- 57 Elhai JD, Casale S, Montag C. Worry and fear of missing out are associated with problematic smartphone and social media use severity. J Affect Disord 2025; 379: 258-265
- 58 Stirnberg J, Margraf J, Precht LM. et al. The relationship between reasons for smartphone use, addictive use tendencies, fear of missing out, depression, and life satisfaction: a qualitative and quantitative analysis. Psychopathology 2024; 57: 359-368
- 59 Rahmillah FI, Tariq A, King M. et al. Evaluating the effectiveness of apps designed to reduce mobile phone use and prevent maladaptive mobile phone use: multimethod study. J Med Internet Res 2023; 25: e42541
