Abstract:Objective: Cyber addiction, which is more vulnerable in adolescents, is defined as the excessive use of computers and the Internet that causes serious psychological, social, and physical problems. In this study, we investigated the resting-state functional connectivity (rsFC) in adolescents with cyber addiction. Methods: We collected and analyzed resting-state functional neuroimaging data of 20 patients with cyber addiction, aged 13−18 years, and 27 healthy controls. Based on previous studies, the seed regions… Show more
“…Last but not least, in relation to internet addiction disorder (IAD/IA), Study 14 [ 43 ], Study 24 [ 44 ], Study 25 [ 45 ], and Study 26 [ 46 ] all tested the FC of adolescents with IAD. Study 14 [ 43 ] and Study 24 [ 44 ] reported both the inter-hemispheric connections and intra-hemispheric connections.…”
Section: Resultsmentioning
confidence: 99%
“…Last but not least, in relation to internet addiction disorder (IAD/IA), Study 14 [ 43 ], Study 24 [ 44 ], Study 25 [ 45 ], and Study 26 [ 46 ] all tested the FC of adolescents with IAD. Study 14 [ 43 ] and Study 24 [ 44 ] reported both the inter-hemispheric connections and intra-hemispheric connections. In particular, Study 14 [ 43 ] found increased positive rsFC between the left insular−right middle temporal gyrus, the right hippocampus−right precentral gyrus, the right amygdala−right precentral gyrus, and the right parietal operculum cortex.…”
Section: Resultsmentioning
confidence: 99%
“…Study 14 [ 43 ] and Study 24 [ 44 ] reported both the inter-hemispheric connections and intra-hemispheric connections. In particular, Study 14 [ 43 ] found increased positive rsFC between the left insular−right middle temporal gyrus, the right hippocampus−right precentral gyrus, the right amygdala−right precentral gyrus, and the right parietal operculum cortex. Study 24 [ 44 ] reported a reduced inter-hemispheric FC in the right frontoparietal network (FPN), whereas increased intra-hemispheric FC of the left FPN was found in adolescents with IA.…”
“…et al, 2014 [ 37 ] Republic of Korea fMRI AIA = 15 NA = 15 E: 13.83 ± 0.83 C: 13.83 ± 0.83 / IA Categorized into “adolescent internet addicts(score > 50)” and “normal adolescents (score< 40)” by the Korean; Adolescent Internet Addiction Scale (K-AIAS) and the Internet Game Addiction Diagnostic Scale (IGADS) (1) a score of short-form Wechsler Intelligence Scale for Children-III < 80; (2) major psychiatric disorders, such as schizophrenia, affective disorder, conduct disorder; (3) substance-related disorders by Kiddie-Schedule for Affective Disorders and Schizophrenia—Present and Lifetime Version—Korean Version. 14 Ko, M. et al, 2023 [ 43 ] Republic of Korea rsfMRI E: n = 20 C: n = 27 13–18years old E: 14.80 ± 1.64 C: 15.96 ± 1.02 M: 19 F: 28 cyber addiction Diagnosed with cyber addiction using the modified criteria for Internet gaming disorders in Section III of the DSM-5 (1) IQ < 70; (2) with a family history of psychosis or personality disorder; (3) with a psychiatric or neurological impairment and head trauma resulting in loss of consciousness (for the patients no major psychiatric disorders); (4) with history of smoking and alcohol intake; (5) without a history of psychotropic prescription. 15 Kwak, K.H.…”
The escalating prevalence of studies investigating digital addiction (DA) and its detrimental impact on the human brain’s structure and functionality has been noticeable in recent years. Yet, an overwhelming majority of these reviews have been predominantly geared towards samples comprising college students or adults and have only inspected a single variant of DA, such as internet gaming disorder, internet addiction disorder, problematic smartphone use, tablet overuse, and so forth. Reviews focusing on young children and adolescents (ages 0–18), or those which amalgamate various types of DA, are decidedly scarce. Given this context, summarizing the effects of DA on brain structure and functionality during the vital developmental stage (0–18 years) is of immense significance. A scoping review, complying with the PRISMA extension for such reviews, was conducted to amalgamate findings from 28 studies spanning a decade (2013–2023) and to examine the influence of assorted forms of DA on the brains of children and adolescents (0–18 years). The synthesized evidence indicated two primary results: (1) DA exerts harmful effects on the structure and functionality of the brains of children and adolescents, and (2) the prefrontal lobe is the region most consistently reported as impacted across all research. Furthermore, this review discerned a notable void of studies investigating the neural indices of digital addiction, along with a shortage of studies focusing on young children (0–6 years old) and longitudinal evidence. This research could provide the necessary theoretical basis for the thwarting and intervention of digital addiction, a measure indispensable for ensuring healthy brain development in children and adolescents.
“…Last but not least, in relation to internet addiction disorder (IAD/IA), Study 14 [ 43 ], Study 24 [ 44 ], Study 25 [ 45 ], and Study 26 [ 46 ] all tested the FC of adolescents with IAD. Study 14 [ 43 ] and Study 24 [ 44 ] reported both the inter-hemispheric connections and intra-hemispheric connections.…”
Section: Resultsmentioning
confidence: 99%
“…Last but not least, in relation to internet addiction disorder (IAD/IA), Study 14 [ 43 ], Study 24 [ 44 ], Study 25 [ 45 ], and Study 26 [ 46 ] all tested the FC of adolescents with IAD. Study 14 [ 43 ] and Study 24 [ 44 ] reported both the inter-hemispheric connections and intra-hemispheric connections. In particular, Study 14 [ 43 ] found increased positive rsFC between the left insular−right middle temporal gyrus, the right hippocampus−right precentral gyrus, the right amygdala−right precentral gyrus, and the right parietal operculum cortex.…”
Section: Resultsmentioning
confidence: 99%
“…Study 14 [ 43 ] and Study 24 [ 44 ] reported both the inter-hemispheric connections and intra-hemispheric connections. In particular, Study 14 [ 43 ] found increased positive rsFC between the left insular−right middle temporal gyrus, the right hippocampus−right precentral gyrus, the right amygdala−right precentral gyrus, and the right parietal operculum cortex. Study 24 [ 44 ] reported a reduced inter-hemispheric FC in the right frontoparietal network (FPN), whereas increased intra-hemispheric FC of the left FPN was found in adolescents with IA.…”
“…et al, 2014 [ 37 ] Republic of Korea fMRI AIA = 15 NA = 15 E: 13.83 ± 0.83 C: 13.83 ± 0.83 / IA Categorized into “adolescent internet addicts(score > 50)” and “normal adolescents (score< 40)” by the Korean; Adolescent Internet Addiction Scale (K-AIAS) and the Internet Game Addiction Diagnostic Scale (IGADS) (1) a score of short-form Wechsler Intelligence Scale for Children-III < 80; (2) major psychiatric disorders, such as schizophrenia, affective disorder, conduct disorder; (3) substance-related disorders by Kiddie-Schedule for Affective Disorders and Schizophrenia—Present and Lifetime Version—Korean Version. 14 Ko, M. et al, 2023 [ 43 ] Republic of Korea rsfMRI E: n = 20 C: n = 27 13–18years old E: 14.80 ± 1.64 C: 15.96 ± 1.02 M: 19 F: 28 cyber addiction Diagnosed with cyber addiction using the modified criteria for Internet gaming disorders in Section III of the DSM-5 (1) IQ < 70; (2) with a family history of psychosis or personality disorder; (3) with a psychiatric or neurological impairment and head trauma resulting in loss of consciousness (for the patients no major psychiatric disorders); (4) with history of smoking and alcohol intake; (5) without a history of psychotropic prescription. 15 Kwak, K.H.…”
The escalating prevalence of studies investigating digital addiction (DA) and its detrimental impact on the human brain’s structure and functionality has been noticeable in recent years. Yet, an overwhelming majority of these reviews have been predominantly geared towards samples comprising college students or adults and have only inspected a single variant of DA, such as internet gaming disorder, internet addiction disorder, problematic smartphone use, tablet overuse, and so forth. Reviews focusing on young children and adolescents (ages 0–18), or those which amalgamate various types of DA, are decidedly scarce. Given this context, summarizing the effects of DA on brain structure and functionality during the vital developmental stage (0–18 years) is of immense significance. A scoping review, complying with the PRISMA extension for such reviews, was conducted to amalgamate findings from 28 studies spanning a decade (2013–2023) and to examine the influence of assorted forms of DA on the brains of children and adolescents (0–18 years). The synthesized evidence indicated two primary results: (1) DA exerts harmful effects on the structure and functionality of the brains of children and adolescents, and (2) the prefrontal lobe is the region most consistently reported as impacted across all research. Furthermore, this review discerned a notable void of studies investigating the neural indices of digital addiction, along with a shortage of studies focusing on young children (0–6 years old) and longitudinal evidence. This research could provide the necessary theoretical basis for the thwarting and intervention of digital addiction, a measure indispensable for ensuring healthy brain development in children and adolescents.
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