We demonstrate for the first time, to our knowledge, that widespread increased regional synchronous neural activity occurs after antipsychotic therapy, accompanied by decreased integration of function across widely distributed neural networks. These findings contribute to the understanding of the complex systems-level effects of antipsychotic drugs.

To identify susceptibility loci for schizophrenia, we performed a two-stage genome-wide association study (GWAS) of schizophrenia in the Han Chinese population (GWAS: 746 individuals with schizophrenia and 1,599 healthy controls; validation: 4,027 individuals with schizophrenia and 5,603 healthy controls). We identified two susceptibility loci for schizophrenia at 6p21-p22.1 (rs1233710 in an intron of ZKSCAN4, P(combined) = 4.76 × 10(-11), odds ratio (OR) = 0.79; rs1635 in an exon of NKAPL, P(combined) = 6.91 × 10(-12), OR = 0.78; rs2142731 in an intron of PGBD1, P(combined) = 5.14 × 10(-10), OR = 0.79) and 11p11.2 (rs11038167 near the 5' UTR of TSPAN18, P(combined) = 1.09 × 10(-11), OR = 1.29; rs11038172, P(combined) = 7.21 × 10(-10), OR = 1.25; rs835784, P(combined) = 2.73 × 10(-11), OR = 1.27). These results add to previous evidence of susceptibility loci for schizophrenia at 6p21-p22.1 in the Han Chinese population. We found that NKAPL and ZKSCAN4 were expressed in postnatal day 0 (P0) mouse brain. These findings may lead to new insights into the pathogenesis of schizophrenia.

The findings revealed volume loss in the right superior temporal gyrus, right middle temporal gyrus, and right anterior cingulate gyrus among antipsychotic-naive first-episode schizophrenia patients. In addition, the functional networks involving the right superior temporal gyrus and middle temporal gyrus were associated with clinical symptom severity. No abnormalities were observed in resting state connectivity with regions of identified gray matter deficits.

Background: The prevalence of mental health problems in medical students has continuously increased and is higher than the prevalence of mental health problems in students with other majors, which could lead to undesirable consequences for the students and their future patients. In China, the current states of medical education and healthcare workplaces differ in certain areas from those in Western or other Asian countries. However, the mental health status of Chinese medical students has not been systematically analyzed. Objectives: The purpose of this meta-analysis was to summarize the prevalence of mental health problems in Chinese medical students. Methods: All cross-sectional studies that investigated the prevalence of any mental health problem among Chinese medical students were retrieved from the following databases: EMBASE, PubMed, PsycINFO, OVID, the Cochrane Database of Systematic Reviews, and the Cochrane Central Register of Controlled Trials. We accepted each individual trial's inclusion and exclusion criteria for participants. The National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies was adopted to appraise the methodological quality of each study. RevMan (version 5.3) was used to analyze the data. Results: Ten cross-sectional studies involving a total of 30,817 Chinese medical students were included. The prevalence of depression, anxiety, suicidal ideation, and eating disorders were 29%, 21%, 11%, and 2%, respectively. Subgroup analysis revealed no significant differences in the prevalence of depression and suicidal ideation between genders and no significant difference in the prevalence of depression between individuals of different ages (20 years and older or younger than 20 years). Conclusions and implications of key findings: Chinese medical students have relatively high prevalence of depression, anxiety, and suicidal ideation but a low prevalence of eating disorders. Mental health problems in Chinese medical students should be taken seriously, and timely screening of and proper intervention in these mental health problems are highly recommended.

Background:Wernicke’s concept of ‘sejunction’ or aberrant associations among specialized brain regions is one of the earliest hypotheses attempting to explain the myriad of symptoms in psychotic disorders. Unbiased data mining of all possible brain-wide connections in large data sets is an essential first step in localizing these aberrant circuits.Methods:We analyzed functional connectivity using the largest resting-state neuroimaging data set reported to date in the schizophrenia literature (415 patients vs. 405 controls from UK, USA, Taiwan, and China). An exhaustive brain-wide association study at both regional and voxel-based levels enabled a continuous data-driven discovery of the key aberrant circuits in schizophrenia.Results:Results identify the thalamus as the key hub for altered functional networks in patients. Increased thalamus–primary somatosensory cortex connectivity was the most significant aberration in schizophrenia (P=10−18). Overall, a number of thalamic links with motor and sensory cortical regions showed increased connectivity in schizophrenia, whereas thalamo–frontal connectivity was weakened. Network changes were correlated with symptom severity and illness duration, and support vector machine analysis revealed discrimination accuracies of 73.53–80.92%.Conclusions:Widespread alterations in resting-state thalamocortical functional connectivity is likely to be a core feature of schizophrenia that contributes to the extensive sensory, motor, cognitive, and emotional impairments in this disorder. Changes in this schizophrenia-associated network could be a reliable mechanistic index to discriminate patients from healthy controls.

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Anatomical and resting-state functional deficits were observed in different brain regions, indicating that anatomical and functional brain abnormalities are significantly dissociated in the early course of schizophrenia. The lack of association of these abnormalities with illness duration and episode severity suggests that these anatomical and functional changes may be early-evolving features of the illness that are relatively stable early in the course of illness. The different structural deficits of regional gray matter observed in patients with prominent negative symptoms may provide unique insight into the early regional neuropathology of this symptom dimension in schizophrenia.

With the advancement in high-resolution magnetic resonance imaging (MRI) technology and automated analysis, studies on functional MRI (fMRI) made it possible to identify the functional activity of brain in vivo in individuals with Internet gaming disorder (IGD), and to explore the underpinning neuroscience basis of IGD. Yet, no available literature has systemically reviewed the fMRI studies of IGD using meta-analyses. This study reviewed 61 candidate articles and finally selected 10 qualified voxel-wise whole-brain analysis studies for performing a comprehensive series of meta-analyses employing effect size signed differential mapping approach. Compared with healthy controls, subjects with IGD showed a significant activation in the bilateral medial frontal gyrus (MFG) and the left cingulate gyrus, as well as the left medial temporal gyrus and fusiform gyrus. Furthermore, the on-line time of IGD subjects was positively correlated with activations in the left MFG and the right cingulated gyrus. These findings implicate the important role of dysfunctional prefrontal lobe in the neuropathological mechanism of IGD. Considering the overlapped role of prefrontal lobe in the reward and self-regulatory system, our results provided supportive evidence for the reclassification of IGD as a behavioural addiction.