Literature DB >> 32616578

Changes of Neurotransmitters in Youth with Internet and Smartphone Addiction: A Comparison with Healthy Controls and Changes after Cognitive Behavioral Therapy.

H S Seo1, E-K Jeong2, S Choi3, Y Kwon3, H-J Park4, I Kim5.   

Abstract

BACKGROUND AND
PURPOSE: Neurotransmitter changes in youth addicted to the Internet and smartphone were compared with normal controls and in subjects after cognitive behavioral therapy. In addition, the correlations between neurotransmitters and affective factors were investigated.
MATERIALS AND METHODS: Nineteen young people with Internet and smartphone addiction and 19 sex- and age-matched healthy controls (male/female ratio, 9:10; mean age, 15.47 ± 3.06 years) were included. Twelve teenagers with Internet and smartphone addiction (male/female ratio, 8:4; mean age, 14.99 ± 1.95 years) participated in 9 weeks of cognitive behavioral therapy. Meshcher-Garwood point-resolved spectroscopy was used to measure γ-aminobutyric acid and Glx levels in the anterior cingulate cortex. The γ-aminobutyric acid and Glx levels in the addicted group were compared with those in controls and after cognitive behavioral therapy. The γ-aminobutyric acid and Glx levels correlated with clinical scales of Internet and smartphone addiction, impulsiveness, depression, anxiety, insomnia, and sleep quality.
RESULTS: Brain parenchymal and gray matter volume-adjusted γ-aminobutyric acid-to-creatine ratios were higher in subjects with Internet and smartphone addiction (P = .028 and .016). After therapy, brain parenchymal- and gray matter volume-adjusted γ-aminobutyric acid-to-creatine ratios were decreased (P = .034 and .026). The Glx level was not statistically significant in subjects with Internet and smartphone addiction compared with controls and posttherapy status. Brain parenchymal- and gray matter volume-adjusted γ-aminobutyric acid-to-creatine ratios correlated with clinical scales of Internet and smartphone addictions, depression, and anxiety. Glx/Cr was negatively correlated with insomnia and sleep quality scales.
CONCLUSIONS: The high γ-aminobutyric acid levels and disrupted balance of γ-aminobutyric acid-to-Glx including glutamate in the anterior cingulate cortex may contribute to understanding the pathophysiology and treatment of Internet and smartphone addiction and associated comorbidities.
© 2020 by American Journal of Neuroradiology.

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Year:  2020        PMID: 32616578      PMCID: PMC7357649          DOI: 10.3174/ajnr.A6632

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  41 in total

1.  Cognitive and emotional influences in anterior cingulate cortex.

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Journal:  Trends Cogn Sci       Date:  2000-06       Impact factor: 20.229

2.  Error processing and response inhibition in excessive computer game players: an event-related potential study.

Authors:  Marianne Littel; Ivo van den Berg; Maartje Luijten; Antonius J van Rooij; Lianne Keemink; Ingmar H A Franken
Journal:  Addict Biol       Date:  2012-06-27       Impact factor: 4.280

Review 3.  Addiction and brain reward and antireward pathways.

Authors:  Eliot L Gardner
Journal:  Adv Psychosom Med       Date:  2011-04-19

4.  Relationship of γ-aminobutyric acid and glutamate+glutamine concentrations in the perigenual anterior cingulate cortex with performance of Cambridge Gambling Task.

Authors:  Kazuyuki Fujihara; Kosuke Narita; Yusuke Suzuki; Yuichi Takei; Masashi Suda; Minami Tagawa; Koichi Ujita; Yuki Sakai; Jin Narumoto; Jamie Near; Masato Fukuda
Journal:  Neuroimage       Date:  2015-01-09       Impact factor: 6.556

5.  Associations between anterior cingulate cortex glutamate and gamma-aminobutyric acid concentrations and the harm avoidance temperament.

Authors:  Hengjun J Kim; Jieun E Kim; Gyunggoo Cho; In-Chan Song; Sujin Bae; Seokjun J Hong; Sujung J Yoon; In Kyoon Lyoo; Tae-Suk Kim
Journal:  Neurosci Lett       Date:  2009-08-04       Impact factor: 3.046

6.  Correlation of glutamate levels in the anterior cingulate cortex with self-reported impulsivity in patients with borderline personality disorder and healthy controls.

Authors:  Mareen Hoerst; Wolfgang Weber-Fahr; Nuran Tunc-Skarka; Matthias Ruf; Martin Bohus; Christian Schmahl; Gabriele Ende
Journal:  Arch Gen Psychiatry       Date:  2010-07-05

7.  Prefrontal GABA concentration changes in women-Influence of menstrual cycle phase, hormonal contraceptive use, and correlation with premenstrual symptoms.

Authors:  Timo De Bondt; Frank De Belder; Floris Vanhevel; Yves Jacquemyn; Paul M Parizel
Journal:  Brain Res       Date:  2014-12-03       Impact factor: 3.252

8.  Decreased GABA levels in anterior cingulate cortex/medial prefrontal cortex in panic disorder.

Authors:  Zaiyang Long; Carla Medlock; Mario Dzemidzic; Yong-Wook Shin; Andrew W Goddard; Ulrike Dydak
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2013-02-04       Impact factor: 5.067

9.  Proposed Diagnostic Criteria for Smartphone Addiction.

Authors:  Yu-Hsuan Lin; Chih-Lin Chiang; Po-Hsien Lin; Li-Ren Chang; Chih-Hung Ko; Yang-Han Lee; Sheng-Hsuan Lin
Journal:  PLoS One       Date:  2016-11-15       Impact factor: 3.240

Review 10.  Brain γ-aminobutyric acid: a neglected role in impulsivity.

Authors:  Dave J Hayes; Bianca Jupp; Steve J Sawiak; Emiliano Merlo; Daniele Caprioli; Jeffrey W Dalley
Journal:  Eur J Neurosci       Date:  2014-01-27       Impact factor: 3.386

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  1 in total

Review 1.  Quantifying GABA in Addiction: A Review of Proton Magnetic Resonance Spectroscopy Studies.

Authors:  Claire Shyu; Sofia Chavez; Isabelle Boileau; Bernard Le Foll
Journal:  Brain Sci       Date:  2022-07-13
  1 in total

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