Publications by authors named "Ruo-bing Qian"

Purpose: Epilepsy is considered a disorder of neural networks. Patients diagnosed with refractory epilepsy frequently experience attention impairments. Seizure activity in epilepsy may disturb brain networks and damage the brain function of attention.

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Background: Traditional surgical treatments for this rare disease include open surgical procedures and ventriculoperitoneal shunting. In 1995, endoscopic fenestration was first applied to treatment of cysts of the septum pellucidum (CSP). However, cyst fenestration generally takes a bilateral approach by making two burr holes leading to two fenestrations in the lateral walls of the cyst.

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Online game addiction (OGA) has attracted greater attention as a serious public mental health issue. However, there are only a few brain magnetic resonance imaging studies on brain structure about OGA. In the current study, we used voxel-based morphometry (VBM) analysis and tract-based spatial statistics (TBSS) to investigate the microstructural changes in OGA and assessed the relationship between these morphology changes and the Young's Internet Addiction Scale (YIAS) scores within the OGA group.

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Objective: To explore the possible brain mechanism of online game addiction (OGA) in terms of brain morphology through voxel-based morphometric (VBM) analysis.

Methods: Seventeen subjects with OGA and 17 age- and gender-matched healthy controls (HC group) were recruited from Department of Psychology at our hospital during February-December 2011. The internet addiction scale (IAS) was used to measure the degree of OGA tendency.

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Article Synopsis
  • The study looks at how certain parts of the brain are involved in making quick decisions, especially for people who are addicted to heroin.
  • Researchers used a special gambling task and brain scans to see how the brains of heroin users compare to those who don’t use.
  • They found that heroin users had trouble making good decisions and showed different brain activity, which might explain why they struggle with addiction and returning to drugs.
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Background: The default mode network (DMN) is a set of brain regions that exhibit synchronized low frequency oscillations at resting-state, and is believed to be relevant to attention and self-monitoring. As the anterior cingulate cortex and hippocampus are impaired in drug addiction and meanwhile are parts of the DMN, the present study examined addiction-related alteration of functional connectivity of the DMN.

Methodology: Resting-state functional magnetic resonance imaging data of chronic heroin users (14 males, age: 30.

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