Author: Patil, Abhishek Uday; Madathil, Deepa; Huang, Chihâ€Mao
Title: Ageâ€related and individual variations in altered prefrontal and cerebellar connectivity associated with the tendency of developing internet addiction Cord-id: iywxnrgj Document date: 2021_6_25
ID: iywxnrgj
Snippet: Internet addiction refers to problematic patterns of internet use that continually alter the neural organization and brain networks that control impulsive behaviors and inhibitory functions. Individuals with elevated tendencies to develop internet addiction represent the transition between healthy and clinical conditions and may progress to behavioral addictive disorders. In this network neuroscience study, we used restingâ€state functional magnetic resonance imaging (rsâ€fMRI) to examine how
Document: Internet addiction refers to problematic patterns of internet use that continually alter the neural organization and brain networks that control impulsive behaviors and inhibitory functions. Individuals with elevated tendencies to develop internet addiction represent the transition between healthy and clinical conditions and may progress to behavioral addictive disorders. In this network neuroscience study, we used restingâ€state functional magnetic resonance imaging (rsâ€fMRI) to examine how and whether individual variations in the tendency of developing internet addiction rewire functional connectivity and diminish the amplitude of spontaneous lowâ€frequency fluctuations in healthy brains. The influence of neurocognitive aging (aged over 60 years) on executiveâ€cerebellar networks responsible for internet addictive behavior was also investigated. Our results revealed that individuals with an elevated tendency of developing internet addiction had disrupted executiveâ€cerebellar networks but increased occipitalâ€putamen connectivity, probably resulting from addictionâ€sensitive cognitive control processes and bottomâ€up sensory plasticity. Neurocognitive aging alleviated the effects of reduced mechanisms of prefrontal and cerebellar connectivity, suggesting ageâ€related modulation of addictionâ€associated brain networks in response to compulsive internet use. Our findings highlight ageâ€related and individual differences in altered functional connectivity and the brain networks of individuals at a high risk of developing internet addictive disorders. These results offer novel networkâ€based preclinical markers of internet addictive behaviors for individuals of different ages.
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