Cited by 64Impact of Technology on AdolescentsSexuality, Behavior, and TechnologyGambling Behavior and Treatments

Lateral orbitofrontal gray matter abnormalities in subjects with problematic smartphone use

Open access
Lee, Deokjong, Namkoong, Kee, Lee, Junghan, Lee, Byung Ook, Jung, Young-Chul·2019·Journal of Behavioral Addictions

Abstract

Background and aims: Smartphone use is becoming commonplace and exerting adequate control over smartphone use has become an important mental health issue. Little is known about the neurobiology underlying problematic smartphone use. We hypothesized that structural abnormalities in the fronto-cingulate brain region could be implicated in problematic smartphone use, similar to that has been reported for Internet gaming disorder and Internet addiction. This study investigated fronto-cingulate gray matter abnormalities in problematic smartphone users, particularly those who spend time on social networking platforms. Methods: The study included 39 problematic smartphone users with excessive use of social networking platforms via smartphone and 49 normal control male and female smartphone users. We conducted voxel-based morphometric analysis with diffeomorphic anatomical registration using an exponentiated Lie algebra algorithm. Region of interest analysis was performed on the fronto-cingulate region to identify whether gray matter volume (GMV) differed between the two groups. Results: Problematic smartphone users had significantly smaller GMV in the right lateral orbitofrontal cortex (OFC) than healthy controls, and there were significant negative correlations between GMV in the right lateral OFC and the Smartphone Addiction Proneness Scale (SAPS) score, including the SAPS tolerance subscale. Conclusions: These results suggest that lateral orbitofrontal gray matter abnormalities are implicated in problematic smartphone use, especially in social networking platform overuse. Small GMV in the lateral OFC was correlated with an increasing tendency to be immersed in smartphone use. Our results suggest that orbitofrontal gray matter abnormalities affect regulatory control over previously reinforced behaviors and may underlie problematic smartphone use.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1556/2006.8.2019.50

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

6 of the 58 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. Miller E. Wallis J. (2009). Executive function and higher-order cognition: Definition and neural substrates In Squire L. R. (Ed.), Encyclopedia of neuroscience (Vol. 4, pp. 99– 104). Oxford, UK: Academic Press.
  2. Young K. S. (1998). Caught in the net: How to recognize the signs of Internet addiction–and a winning strategy for recovery. New York, NY: John Wiley & Sons.

Cited by

Sorted by citations

Authors
Lee, D., Namkoong, K., Lee, J., Lee, B. O., & Jung, Y.-C.
Affiliations
Yonsei University (KR)
Corresponding author
Jung, Young-Chul
Venue
Journal of Behavioral Addictions
Published
2019-09
Volume
8
Issue
3
Pages
404-411
ISSN
  • 2062-5871 (ISSN-L)
  • 2063-5303
OpenAlex
W2976669220
Cited by
64
References
58
Citations by year
2026: 8 · 2025: 14 · 2024: 10 · 2023: 3 · 2022: 8 · 2021: 12 · 2020: 8 · 2018: 1
FWCI
14.09
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Journal of Behavioral Addictions (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
  • YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
Keywords
smartphone addiction, lateral orbitofrontal cortex, gray matter volume, addiction proneness, behavioral addiction, behavioral regulation
MeSH terms
Smartphone, Adolescent, Adult, Female, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Behavior, Addictive, Prefrontal Cortex, Young Adult, Social Networking

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review