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Status: Bibliographieeintrag

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Verfasst von:Henemann, Gudrun Maria [VerfasserIn]   i
 Schmitgen, Mike [VerfasserIn]   i
 Wolf, Nadine D. [VerfasserIn]   i
 Hirjak, Dusan [VerfasserIn]   i
 Kubera, Katharina Maria [VerfasserIn]   i
 Sambataro, Fabio [VerfasserIn]   i
 Bach, Patrick [VerfasserIn]   i
 Koenig, Julian [VerfasserIn]   i
 Wolf, Robert Christian [VerfasserIn]   i
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

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