摘要：
Preclinical research highlights the paraventricular thalamic nucleus as important in various stages of substance use disorder. However, there is limited research on it in relation to methamphetamine, especially regarding its functional changes after long-term abstinence. This study aims to understand the alterations in functional connectivity of the paraventricular thalamic nucleus in methamphetamine abstainers and its correlation with drug craving at two different withdrawal periods. A total of 49 subjects were allocated to the short-term withdrawal group, 44 to the long-term withdrawal group, and 42 to the healthy control group, all of whom are male and adult. Craving scores were assessed using a visual analogue scale. Functional connectivity was evaluated through resting-state functional MRI, which reflects the correlation between connectivity in different brain regions. Significant differences in functional connectivity between the paraventricular thalamic nucleus and the left caudate nucleus were observed across the three groups. The healthy control group exhibited the strongest connectivity, followed by the long-term withdrawal group, while the short-term withdrawal group demonstrated the weakest connectivity. Within the short-term withdrawal group, functional connectivity of the paraventricular thalamic nucleus with both the left parahippocampal gyrus (r = -0.45, p = 0.001) and the left inferior temporal gyrus (r = -0.43, p = 0.002) was significantly correlated with craving scores. This study confirms abnormalities in the paraventricular thalamic nucleus among male methamphetamine abstainers, emphasizes its potential role in regulating methamphetamine use disorder and craving mechanisms, and offers insights into long-term changes in brain function after abstinence.
通讯机构：
[Shen, HX ] C;Cent South Univ, Natl Clin Res Ctr Mental Disorders, Dept Psychiat, Xiangya Hosp 2, Changsha, Peoples R China.
关键词：
Problematic gaming;Internet gaming use characteristics;Personality traits (big five model);Chinese adolescent gamers;Latent profile analysis
摘要：
Internet gaming has gained widespread popularity in China, yet the classification of problematic gaming subtypes based on personality traits remains limited. This study aimed to employ latent profile analysis (LPA) to identify distinct groups of online gamers and compare key variables across these groups. An online survey was conducted within 5593 internet gaming users, including a demographic questionnaire, queries on internet gaming usage, the Video Gaming Dependency Scale, and the Chinese Big Five Inventory-brief version. LPA was applied to identify distinct user groups, followed by an examination of associations between profile membership and auxiliary variables. LPA identified three gamer categories for problematic gaming: “high-risk” (64.78%), “medium-risk” (3.22%), and “low-risk” (32%). High-risk gamers allocated more time and financial resources to gaming for escapism and leisure purposes. The medium-risk group sought enjoyable experiences, exhibiting traits that were intermediate between the high- and low-risk groups. High-risk gamers demonstrated elevated levels of neuroticism, accompanied by lower scores in other Big Five personality traits. In contrast, medium-risk gamers scored low across all Big Five dimensions, while low-risk gamers achieved higher scores in all traits except neuroticism. Notably, the low-risk group reported forming the fewest new online friendships, despite sharing similar social motivations with the other groups. Traits such as low neuroticism and high conscientiousness serve as protective factors against gaming addiction, while being unmarried or an only child provides additional safeguards. Conversely, increased time and financial investment in gaming activities are associated with a heightened risk of addiction. These findings are crucial for identifying high-risk gamers and informing the development of targeted interventions.
摘要：
Abstract: Objective: To explore the relationship among depression, anxiety and self-concept in college students. Methods: 2200 college students were selected. Beck Depression Rating Scale (BDI), Trait Anxiety Inventory (T-AI) and Tennessee Self-Concept Scale (TSCS) were adopted to measure the college students’ depression, anxiety and self-concept, respectively. Results: The total score of TSCS and scores of moral self-concept, family self-concept, self-identification and self-action of female college students were significantly higher than those of male college students (P < 0.01), and self-criticism was significantly lower than that of male college students (P < 0.05). The BDI and T-AI scores of non-only child college students were significantly higher than those of only child (P < 0.05), and the self-identification scores were significantly lower than those of only child (P < 0.05). The social self-concept scores of urban college students were significantly higher than those of rural college students (P < 0.05). The total score of TSCS in control group was the highest, followed by depression group, anxiety group, depression and anxiety group (P < 0.001). The self-criticism scores of the control group were significantly lower than those of the other three groups (P < 0.001). BDI and T-AI scores of college students were positively correlated (r = 0.58, P < 0.01). The scores of BDI and T-AI were negatively correlated with the total score of TSCS and positive factors (r = −0.39~−0.52, P < 0.01; r = −0.52~−0.70, P < 0.01), was positively correlated with negative factor self-criticism (r = 0.24, P < 0.01; r = 0.31, P < 0.01). Both physiological and psychological self-concept of college students negatively predicted BDI and T-AI scores, and their explanatory quantities were 31.1% and 53.7%, respectively. Self-criticism has a positive predictive effect, and its explanatory volume is 0.5% and 0.7%. Conclusion: Depression and anxiety of college students are negatively affected by their self-concept and its positive factors, and positively affected by its negative factors self-criticism.
