Universität zu Köln

Schmitgen, Mike M., Wolf, Nadine D., Sambataro, Fabio ORCID: 0000-0003-2102-416X, Hirjak, Dusan, Kubera, Katharina M., Koenig, Julian and Wolf, Robert Christian ORCID: 0000-0002-5358-5212 (2022). Aberrant intrinsic neural network strength in individuals with smartphone addiction: An MRI data fusion study. Brain Behav., 12 (9). HOBOKEN: WILEY. ISSN 2162-3279

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Abstract

Background and objectives Excessive smartphone use, also referred to as smartphone addiction (SPA), has increasingly attracted neuroscientific interest due to its similarities with other behavioral addictions, particularly internet gaming disorder. Little is known about the neural mechanisms underlying smartphone addiction. We explored interrelationships between brain structure and function to specify neurobiological correlates of SPA on a neural system level. Methods Gray matter volume (GMV) and intrinsic neural activity (INA) were investigated in individuals with SPA (n = 20) and controls (n = 24), using multimodal magnetic resonance imaging and multivariate data fusion techniques, that is, parallel independent component analysis. Results The joint analysis of both data modalities explored shared information between GMV and INA. In particular, two amplitudes of low frequency fluctuations-based independent neural systems significantly differed between individuals with SPA and controls. A medial/dorsolateral prefrontal system exhibited lower functional network strength in individuals with SPA versus controls, whereas the opposite pattern was detected in a parietal cortical/cerebellar system. Neural network strength was significantly related to duration of smartphone use and sleep difficulties. Discussion and conclusions We show modality-specific associations of the brain's resting-state activity with distinct and shared SPA symptom dimensions. In particular, the data suggest contributions of aberrant prefrontal and parietal neural network strength as a possible signature of deficient executive control in SPA. Scientific significance This study suggests distinct neural mechanisms underlying specific biological and behavioral dimensions of excessive smartphone use.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Schmitgen, Mike M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Wolf, Nadine D. UNSPECIFIED UNSPECIFIED UNSPECIFIED Sambataro, Fabio UNSPECIFIED orcid.org/0000-0003-2102-416X UNSPECIFIED Hirjak, Dusan UNSPECIFIED UNSPECIFIED UNSPECIFIED Kubera, Katharina M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Koenig, Julian UNSPECIFIED UNSPECIFIED UNSPECIFIED Wolf, Robert Christian UNSPECIFIED orcid.org/0000-0002-5358-5212 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-677611
DOI:	10.1002/brb3.2739
Journal or Publication Title:	Brain Behav.
Volume:	12
Number:	9
Date:	2022
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	2162-3279
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SLEEP QUALITY; DEFAULT MODE; INTERNET-USE; ADOLESCENTS; INVENTORY; HEALTH; FLOW Multiple languages Behavioral Sciences; Neurosciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67761