| Online-Ressource |
Verfasst von: | Henemann, Gudrun Maria [VerfasserIn]  |
| Schmitgen, Mike [VerfasserIn]  |
| Wolf, Nadine D. [VerfasserIn]  |
| Hirjak, Dusan [VerfasserIn]  |
| Kubera, Katharina Maria [VerfasserIn]  |
| Sambataro, Fabio [VerfasserIn]  |
| Bach, Patrick [VerfasserIn]  |
| Koenig, Julian [VerfasserIn]  |
| Wolf, Robert Christian [VerfasserIn]  |
Titel: | Cognitive domain-independent aberrant frontoparietal network strength in individuals with excessive smartphone use |
Verf.angabe: | Gudrun M. Henemann, Mike M. Schmitgen, Nadine D. Wolf, Dusan Hirjak, Katharina M. Kubera, Fabio Sambataro, Patrick Bach, Julian Koenig, Robert Christian Wolf |
E-Jahr: | 2023 |
Jahr: | 30 January 2023 |
Umfang: | 9 S. |
Fussnoten: | Online verfügbar 14. Januar 2023, Artikelversion 30. Januar 2023 ; Gesehen am 20.06.2023 |
Titel Quelle: | Enthalten in: Psychiatry research. Neuroimaging |
Ort Quelle: | Amsterdam : Elsevier, 1990 |
Jahr Quelle: | 2023 |
Band/Heft Quelle: | 329(2023) vom: Jan., Artikel-ID 111593, Seite 1-9 |
ISSN Quelle: | 1872-7506 |
Abstract: | Excessive smartphone use (ESU) may fulfill criteria for addictive behavior. In contrast to other related behavioral addictions, particularly Internet Gaming Disorder, little is known about the neural correlates underlying ESU. In this study, we used functional magnetic resonance imaging (fMRI) to acquire task data from three distinct behavioral paradigms, i.e. cue-reactivity, inhibition, and working memory, in individuals with psychometrically defined ESU (n = 19) compared to controls (n-ESU; n = 20). The Smartphone Addiction Inventory (SPAI) was used to quantify ESU-severity according to a novel five-factor model (SPAI-I). A multivariate data fusion approach, i.e. joint Independent Component Analysis (jICA) was employed to analyze fMRI-data derived from three separate experimental conditions, but analyzed jointly to detect converging and domain-independent neural signatures that differ between persons with vs. those without ESU. Across the three functional tasks, jICA identified a predominantly frontoparietal system that showed lower network strength in individuals with ESU compared to n-ESU (p < 0.05 FDR-corrected). Furthermore, significant associations between frontoparietal network strength and SPAI-I's dimensions “time spent” and “craving” were found. The data suggest a frontoparietal cognitive control network as cognitive domain-independent neural signature of excessive and potentially addictive smartphone use. |
DOI: | doi:10.1016/j.pscychresns.2023.111593 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1016/j.pscychresns.2023.111593 |
| Volltext: https://www.sciencedirect.com/science/article/pii/S0925492723000033 |
| DOI: https://doi.org/10.1016/j.pscychresns.2023.111593 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Addiction |
| Functional magnetic resonance imaging |
| Independent component analysis |
| Prefrontal cortex |
| Smartphone |
K10plus-PPN: | 1850634254 |
Verknüpfungen: | → Zeitschrift |
Cognitive domain-independent aberrant frontoparietal network strength in individuals with excessive smartphone use / Henemann, Gudrun Maria [VerfasserIn]; 30 January 2023 (Online-Ressource)