Abstract:
OBJECTS:Understanding the neural basis underlying Internet gaming disorder (IGD) is essential for the diagnosis and treatment of this type of behavioural addiction. Aberrant resting-state functional connectivity (rsFC) of the default mode network (DMN) has been reported in individuals with IGD. Since rsFC is not a directional analysis, the effective connectivity within the DMN in IGD remains unclear. Here, we employed spectral dynamic causal modeling (spDCM) to explore this issue. METHODS:Resting state fMRI data were collected from 64 IGD (age: 22.6 ± 2.2) and 63 well-matched recreational Internet game users (RGU, age: 23.1 ± 2.5). Voxel-based mean time series data extracted from the 4 brain regions within the DMN (medial prefrontal cortex, mPFC; posterior cingulate cortex, PCC; bilateral inferior parietal lobule, left IPL/right IPL) of two groups during the resting state were used for the spDCM analysis. RESULTS:Compared with RGU, IGD showed reduced effective connectivity from the mPFC to the PCC and from the left IPL to the mPFC, with reduced self-connection in the PCC and the left IPL. CONCLUSIONS:The spDCM could distinguish the changes in the functional architecture between two groups more precisely than rsFC. Our findings suggest that the decreased excitatory connectivity from the mPFC to the PCC may be a crucial biomarker for IGD. Future brain-based intervention should pay attention to dysregulation in the IPL-mPFC-PCC circuits.
journal_name
Addict Behavjournal_title
Addictive behaviorsauthors
Wang M,Zheng H,Du X,Dong Gdoi
10.1016/j.addbeh.2018.10.019subject
Has Abstractpub_date
2019-03-01 00:00:00pages
62-70eissn
0306-4603issn
1873-6327pii
S0306-4603(18)30907-9journal_volume
90pub_type
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journal_title:Addictive behaviors
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journal_title:Addictive behaviors
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journal_title:Addictive behaviors
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pub_type: 临床试验,杂志文章
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journal_title:Addictive behaviors
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pub_type: 杂志文章,随机对照试验
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