Brain Scans Reveal Structural Differences In People With “Smartphone Addiction”

Brain Scans Reveal Structural Differences In People With “Smartphone Addiction” By Arjun Walia for Natural Blaze

  • The Facts: A new study recently published by German researchers from Heidelberg University show differences in brain structure between people with ‘smartphone addition’ compared to people without it.
  • Reflect On: Is your child constantly on their smartphone? Are they addicted?

Children entering into the world today are being birthed into a sea of technology that their parents never grew up with. As a result, we don’t really know the long-term consequences these technologies could have on these generations as they age. Preliminary research, however, is already showing significant cause for concern, and one of the latest examples comes from a study published in the journal Addictive Behaviours via German researchers.

The researchers examined 48 participants using MRI imaging, and 22 of the participants had smartphone addiction (SPA), and 26 of them were non-addicts. The main findings were that individuals with SPA  showed “significant lower” grey matter volume (GMA) in the insula and in certain regions of the temporal cortex compared to the individuals without smartphone addiction, known as the controls. Secondly, right anterior cingulate cortex (ACC) activity was “significantly lower” in individuals with SPA compared to controls. Third, the researchers found associations between the smartphone addiction inventory  (SPAI) scores and GMV as well as  amplitude of low frequency fluctuations (ALFF), converged on the ACC.

The authors wrote that:


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The present study provides first evidence for common neural underpinning mechanisms of behavioral addiction in individuals with SPA. This study clearly needs replication as much as extension in larger cohorts, including longitudinal assessments, ecological momentary assessment and task-based functional MRI. Yet, at the same time, this study provides important data and preliminary evidence, suggesting addiction-related differences in neural processes in the context of smartphone use, particularly with respect to the salience network. Given the widespread use and increasing popularity of smartphones, the present study challenges assumptions towards the harmlessness of smartphones, at least in individuals that may be at increased risk for developing addictive behaviors.

It should be concerning that there are actual structural changes in the brain that correlate with smartphone use in individuals who have an addiction compared to the brains of those who don’t.

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