Internet addiction-induced brain structure and function alterations: a systematic review and meta-analysis of voxel-based morphometry and resting-state functional connectivity studies

Sun, Jing-Ting; Hu, Bo; Chen, Tian-Qi; Chen, Zhuhong; Shang, Yu‐Xuan; Li, Yuting; Wang, Rui; Wang, Wen

doi:10.1007/s11682-023-00762-w

Cited by 16 publications

(7 citation statements)

References 75 publications

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“…Moreover, activations in the left MFG and the right cingulated gyrus were positively linked with the on-line time of IGD individuals (46,47). The functional connectivity between the dorsolateral prefrontal cortex and the posterior cingulate cortex of IGAs was significantly lower than that of healthy subjects, and the degree of reduction was worse than that of the Stroop task performance (48,49). Similar to heroin addiction, the decline in the functional connectivity of brain regions in the cognitive control circuit of IGAs will lead to their uncontrollable addictive behavior (50,51).…”

Section: Internet Game Addiction Induces Structural Atrophy and Reduc...mentioning

confidence: 98%

Comparison of Neural Circuitry Mechanisms between Internet Game Addiction and Heroin Addiction

Wang

2023

Sci Insights

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Internet game addiction and heroin addiction have many similar clinical manifestations, but whether they share similar neural mechanisms is yet clearly known. Based on MRI data, it was found that the two types of addictions have some damages in the same brain structure and function, and the four addiction-related circuits as cognitive control loop, reward prediction and pleasure loop, motivation drive and salience attribution loop, and learning and memory loop showed widespread and enhanced activation. However, the brain damage area of heroin addiction is biased towards the higher cognitive control circuit and reward circuit, and the scope of damage is wider showing the functional connectivity of the four circuits is reduced, while the brain damage of internet game addiction mainly occurs in relatively low-level memory-learning circuits and motivation circuits, and the scope of damage is also relatively narrow by indicating decreased functional connectivity only occurs between cognitive control and memory-learning circuits. This indicates that the neural mechanisms underlying the two types of addictive behaviors have both similarities and differences. This review compares above-mentioned four circuitry mechanisms between internet game addiction and heroin addiction to highlight the underlying neural similarities between them and provide insights into potential interventional strategies.

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Section: Internet Game Addiction Induces Structural Atrophy and Reduc...mentioning

confidence: 98%

Comparison of Neural Circuitry Mechanisms between Internet Game Addiction and Heroin Addiction

Wang

2023

Sci Insights

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“…As a result, excessive use of technologies impacts brain areas responsible for the critical abilities of the reflective system to suppress cognitive (Cai et al, 2016;Ko et al, 2014) and motor response inhibition (Ding et al, 2014). In addition to these neuroimaging studies that consistently report abnormalities in brain structure and function in Internet gaming disorder, a number of quantitative meta-analyses have synthesized the literature (Niu et al, 2022;Solly et al, 2022;Sun et al, 2023) and revealed structural and functional impairments in brain regions related to executive cognitive control. In terms of presence, greater levels of presence were associated with smaller activation in the dorsolateral prefrontal cortex (Jäncke et al, 2009).…”

Section: The Reflective C-system 1: Prefrontal-dorsal Striatal Loopmentioning

confidence: 99%

High-dimensional Metaverse Platforms and the Virtually Extended Self

Parsons

2024

Journal of Cognition

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The study of cognition has traditionally used low-dimensional measures and stimulus presentations that emphasize laboratory control over high-dimensional (i.e., ecologically valid) tools that reflect the activities and interactions in everyday living. Although controlled experimental presentations in laboratories have enhanced our understanding of cognition for both healthy and clinical cohorts, high dimensionality may extend reality and cognition. High-dimensional Metaverse approaches use extended reality (XR) platforms with dynamic stimulus presentations that couple humans and simulation technologies to extend cognition. The plan for this paper is as follows: The "Extending from low to high-dimensional studies of cognition" section discusses current needs for high-dimensional stimulus presentations that reflect everyday cognitive activities. In the "Algorithmic devices and digital extension of cognition" section, technologies of the extended mind are introduced with the Metaverse as a candidate cognitive process for extension. Next, in the "A neurocognitive framework for understanding technologies of the extended mind" section, a framework and model are proposed for understanding the neural correlates of human technology couplings in terms of automatic algorithmic processes (limbic-ventral striatal loop); reflective cognition (prefrontal-dorsal striatal loop); and algorithmic processing (insular cortex). The algorithmic processes of human-technology interactions can, over time, become an automated and algorithmic coupling of brain and technology. The manuscript ends with a brief summary and discussion of the ways in which the Metaverse can be used for studying how persons respond to high-dimensional stimuli in simulations that approximate real-world activities and interactions.

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“…However, considering that although MNI or ALL localization studies were selected during the data acquisition process, the voxel size of the selected images varied among different studies, and excessive division of brain regions could increase the errors in this study. Meanwhile, the excessively detailed division of the brain regions could result in only some voxels producing functional connections in a relatively unified overall brain region ( Sun et al, 2023 ). This would confuse the FC conclusions screening of the study.…”

Section: Limitationsmentioning

confidence: 99%

Differences in the distribution of triggers among resting state networks in patients with juvenile myoclonic epilepsy explained by network analysis

Luo,

Liu,

Zhang

et al. 2023

Front. Neurosci.

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BackgroundJuvenile myoclonus epilepsy (JME) is an idiopathic generalized epilepsy syndrome. Functional connectivity studies based on graph theory have demonstrated changes in functional connectivity among different brain regions in patients with JME and healthy controls. However, previous studies have not been able to clarify why visual stimulation or increased cognitive load induces epilepsy symptoms in only some patients with JME.MethodsThis study constructed a small-world network for the visualization of functional connectivity of brain regions in patients with JME, based on system mapping. We used the node reduction method repeatedly to identify the core nodes of the resting brain network of patients with JME. Thereafter, a functional connectivity network of the core brain regions in patients with JME was established, and it was analyzed manually with white matter tracks restriction to explain the differences in symptom distribution in patients with JME.ResultsPatients with JME had 21 different functional connections in their resting state, and no significant differences in their distribution were noted. The thalamus, cerebellum, basal ganglia, supplementary motor area, visual cortex, and prefrontal lobe were the core brain regions that comprised the functional connectivity network in patients with JME during their resting state. The betweenness centrality of the prefrontal lobe and the visual cortex in the core functional connectivity network of patients with JME was lower than that of the other brain regions.ConclusionThe functional connectivity and node importance of brain regions of patients with JME changed dynamically in the resting state. Abnormal discharges originating from the thalamus, cerebellum, basal ganglia, supplementary motor area, visual cortex, and prefrontal cortex are most likely to lead to seizures in patients with JME. Further, the low average value of betweenness centrality of the prefrontal and visual cortices explains why visual stimulation or increased cognitive load can induce epileptic symptoms in only some patients with JME.

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Internet addiction-induced brain structure and function alterations: a systematic review and meta-analysis of voxel-based morphometry and resting-state functional connectivity studies

Cited by 16 publications

References 75 publications

Comparison of Neural Circuitry Mechanisms between Internet Game Addiction and Heroin Addiction

Comparison of Neural Circuitry Mechanisms between Internet Game Addiction and Heroin Addiction

High-dimensional Metaverse Platforms and the Virtually Extended Self

Differences in the distribution of triggers among resting state networks in patients with juvenile myoclonic epilepsy explained by network analysis

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