Dataset Information

Aberrant intrinsic neural network strength in individuals with "smartphone addiction": An MRI data fusion study.

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.

SUBMITTER: Schmitgen MM

PROVIDER: S-EPMC9480925 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

Aberrant intrinsic neural network strength in individuals with "smartphone addiction": An MRI data fusion study.

Schmitgen Mike M MM Wolf Nadine D ND Sambataro Fabio F Hirjak Dusan D Kubera Katharina M KM Koenig Julian J Wolf Robert Christian RC

Brain and behavior 20220831 9

<h4>Background and objectives</h4>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.<h4>Methods</h4>Gray matte ...[more]

PMID: 36043500

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Project description:BackgroundThe growing use of smartphones among elderly individuals, driven by social and informational needs, may lead to smartphone addiction, potentially impacting their daily lives. This study aimed to determine whether there is a difference in physical activity, activities of daily living, and balance levels between elderly individuals with and without smartphone addiction.MethodsThis descriptive and cross-sectional study included 94 elderly individuals. Data were obtained using the Smartphone Addiction Scale-Short Version (SAS-SV), the Physical Activity Scale for the Elderly (PASE), the Lawton Instrumental Activities of Daily Living Scale (Lawton IADL), the Fullerton Advanced Balance Scale (FAB-T), and the Timed Up and Go Test (TUG). The participants were divided into two groups according to their SAS-SV scores: those with (n = 45) and those without (n = 49) smartphone addiction.ResultsWhen the groups with and without smartphone addiction were compared, there was a significant difference between the groups in terms of Lawton IADL (t = 4.223, p < 0.001), total PASE (t = 7.791, p < 0.001), PASE work-related activity (t = 2.541, p = 0.013), household activity (t = 3.598, p = 0.001), and leisure activity (t = 7.063, p < 0.001). Structural equation modeling showed that Lawton IADL (β = -0.320, p < 0.001), PASE total (β = -0.518, p < 0.001), and PASE work-related activity (β = -0.211, p = 0.033), household activity (β = -0.300, p = 0.002), and leisure time activity (β = -0.483, p < 0.001) subscales had a direct negative predictive effect on SAS-SV. FAB-T had a direct positive predictive effect on total PASE (β = 0.186, p = 0.030) and work-related activity subscales (β = 0.197, p = 0.046). FAB-T had a direct positive predictive effect on Lawton IADL (β = 0.247, p = 0.009), but a direct negative effect on TUG (β = -0.541, p < 0.001).ConclusionsThe study determined that smartphone addiction was directly related to the maintenance of physical activity and daily living activities in elderly individuals but did not lead to a change in balance status. Future studies should consider including potential confounders, such as baseline physical fitness, socioeconomic status, and cognitive impairment, in structural equation modeling to provide more comprehensive insights.

Dataset Information

Aberrant intrinsic neural network strength in individuals with "smartphone addiction": An MRI data fusion study.

Background and objectives

Methods

Results

Discussion and conclusions

Scientific significance

Publications

Aberrant intrinsic neural network strength in individuals with "smartphone addiction": An MRI data fusion study.

Similar Datasets

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