Alterations in the brain functional network of abstinent male individuals with methamphetamine use disorder.

Methamphetamine is a highly addictive psychostimulant drug that is abused globally and is a serious threat to health worldwide. Unfortunately, the specific mechanism underlying addiction remains unclear. Thus, this study aimed to investigate the characteristics of functional connectivity in the brain network and the factors influencing methamphetamine use disorder in patients using magnetic resonance imaging. We included 96 abstinent male participants with methamphetamine use disorder and 46 age- and sex-matched healthy controls for magnetic resonance imaging. Compared with healthy controls, participants with methamphetamine use disorder had greater impulsivity, fewer small-world attributes of the resting-state network, more nodal topological attributes in the cerebellum, greater functional connectivity strength within the cerebellum and between the cerebellum and brain, and decreased frontoparietal functional connectivity strength. In addition, after controlling for covariates, the partial correlation analysis showed that small-world properties were significantly associated with methamphetamine use frequency, psychological craving, and impulsivity. Furthermore, we revealed that the small-word attribute significantly mediated the effect of methamphetamine use frequency on motor impulsivity in the methamphetamine use disorder group. These findings may further improve our understanding of the neural mechanism of impulse control dysfunction underlying methamphetamine addiction and assist in exploring the neuropathological mechanism underlying methamphetamine use disorder-related dysfunction and rehabilitation.

Characteristics of depression, anxiety, impulsivity, and aggression among various types of drug users and factors for developing severe depression: a cross-sectional study.

BACKGROUND: Mood disorder, impulsivity and aggression are common in drug users compared to healthy controls. However, no study has focused on the difference in various types of drug users. Therefore, the objective of this study was to explore the differences in depression, anxiety, impulsivity, and aggression among methamphetamine, heroin and polysubstance users and to further explore the risk factors for severe depression in the three groups. METHODS: Drug users over 18 years old who met the DSM-V diagnostic criteria for substance -related disorders were included in the study. All participants completed a general questionnaire, the Zung Self-Rating Depression Scale (SDS), the Zung Self-Rating Anxiety Scale (SAS), Barratt impulsiveness Scale Version 11 (BIS-11), and the Buss-Perry Aggression Questionnaire (BPAQ). One-way ANOVAs or Chi-square tests were used to test the differences among the groups, correlation analysis was used to test the relationship between drug use and other parameters, and multiple logistic regression was conducted to assess the risk factors for severe depression. RESULTS: A total of 1,486 participants were included, comprising 86.3% males with a mean age of 38.97 years. There was a significant difference in the percentage of severe depression and SDS scores among the three groups, but no significant difference was found in SAS, BIS-11 and BPAQ scores. Using methamphetamines, hostility and anxiety were risk factors for developing severe depression in all the participants and anxiety remained constant in the other three groups. Moreover, methamphetamine use was 2.16 and 3.35 times more likely to cause severe depression than heroin and polysubstance use, respectively. The initial age of substance use was negatively correlated with BPAQ, SAS, and SDS scores, whereas the drug use duration and addiction duration were positively correlated. CONCLUSIONS: In this study, we found that the highest prevalence of severe depression was in participants using methamphetamines and that using methamphetamines, hostility, and anxiety were risk factors for developing severe depression. This result addressed an important gap in our knowledge of the different characteristics of depression, anxiety, impulsivity and aggression in various types of substance users and provides clinicians and policy-makers with directions for intervention and preventing relapse.

The Deficits of Individual Morphological Covariance Network Architecture in Schizophrenia Patients With and Without Violence.

Background: Schizophrenia is associated with a significant increase in the risk of violence, which constitutes a public health concern and contributes to stigma associated with mental illness. Although previous studies revealed structural and functional abnormalities in individuals with violent schizophrenia (VSZ), the neural basis of psychotic violence remains controversial. Methods: In this study, high-resolution structural magnetic resonance imaging (MRI) data were acquired from 18 individuals with VSZ, 23 individuals with non-VSZ (NSZ), and 22 age- and sex-matched healthy controls (HCs). Whole-brain voxel-based morphology and individual morphological covariance networks were analysed to reveal differences in gray matter volume (GMV) and individual morphological covariance network topology. Relationships among abnormal GMV, network topology, and clinical assessments were examined using correlation analyses. Results: GMV in the hypothalamus gradually decreased from HCs and NSZ to VSZ and showed significant differences between all pairs of groups. Graph theory analyses revealed that morphological covariance networks of HCs, NSZ, and VSZ exhibited small worldness. Significant differences in network topology measures, including global efficiency, shortest path length, and nodal degree, were found. Furthermore, changes in GMV and network topology were closely related to clinical performance in the NSZ and VSZ groups. Conclusions: These findings revealed the important role of local structural abnormalities of the hypothalamus and global network topological impairments in the neuropathology of NSZ and VSZ, providing new insight into the neural basis of and markers for VSZ and NSZ to facilitate future accurate clinical diagnosis and targeted treatment.

Voluntary and Involuntary Psychiatric Admissions in China.

OBJECTIVE: This study examined admission patterns, including voluntary, involuntary, and partly voluntary admissions to Chinese psychiatric hospitals, in relation to sociodemographic and clinical factors, before a new mental health law was implemented in 2013. METHODS: Previously admitted patients were interviewed within one week after discharge from 16 psychiatric hospitals across China. Patients' basic sociodemographic and clinical data, including results from the Modified Overt Aggression Scale (MOAS) and the Insight and Treatment Attitudes Questionnaire (ITAQ), were collected. RESULTS: Among 797 patients, 224 (28%) had voluntary admissions, 336 (42%) had involuntary admissions, and 237 (30%) had partly voluntary admissions. Male gender, history of hospitalization, diagnosis of schizophrenia and related disorders, and high MOAS score were the risk factors for involuntary admissions, whereas more years of education, higher ITAQ score, and outpatient treatment before the index admission were its protective factors. A diagnosis of schizophrenia-related disorder and high MOAS score were the risk factors for partly voluntary admission, whereas more education and high ITAQ score were its protective factors. CONCLUSIONS: Perception of dangerousness and poor insight about mental illness were significant factors in involuntary psychiatric admissions in China. Factors contributing to the changes in patterns of psychiatric admissions after China's implementation of the mental health law are important topics for further research.

[Criminological characteristics of female violent criminal suspects].

OBJECTIVE: To study criminological characteristics of female violent criminal suspects who accepted forensic psychiatry assessment. METHODS: Information of the suspects involved in judicial appraisal between 2000 and 2009 were collected and analyzed according to our self-made scale. RESULTS: The age of 259 suspects were between 16 and 81 years old. There were 205 (79.2%) suspects who were younger than 45 years old. There were 225 (86.9%) suspects who were married. There were 14 different appraisal results: schizophrenia 47.1%, without psychosis 15.4%, depression 10.4% and others 27.1%. Irresponsibility involved with 59.5%, partial responsibility 18.5% and full responsibility 22.0%. Murder were 85.7%, arson 10.4%, inflicted injury 1.9% and robbery 1.9%. A total of 191 cases resulted in death, accounting for 82.3% of all cases. In 34.9% of all cases, the victims were male spouse of the suspects. Main weapons used in the crime were cutters and other working related tools (36.3%). There were 66.8% of all cases were with pathological motivation, 29.7% with reality motivation and 3.5% cases were with unknown motivation. CONCLUSION: Female violent suspects in our cases often suffered from various kinds of mental diseases. Their motivations were pathological primarily. Most cases were intentional killing with family members as victim mainly. Major weapons used were daily working related tools.