Association between functional and structural connectivity of the corticostriatal network in people with schizophrenia and unaffected first-degree relatives.

Background: Dysfunction of the corticostriatal network has been implicated in the pathophysiology of schizophrenia, but findings are inconsistent within and across imaging modalities. We used multimodal neuroimaging to analyze functional and structural connectivity in the corticostriatal network in people with schizophrenia and unaffected first-degree relatives. Methods: We collected resting-state functional magnetic resonance imaging and diffusion tensor imaging scans from people with schizophrenia (n = 47), relatives (n = 30) and controls (n = 49). We compared seed-based functional and structural connectivity across groups within striatal subdivisions defined a priori. Results: Compared with controls, people with schizophrenia had altered connectivity between the subdivisions and brain regions in the frontal and temporal cortices and thalamus; relatives showed different connectivity between the subdivisions and the right anterior cingulate cortex (ACC) and the left precuneus. Post-hoc t tests revealed that people with schizophrenia had decreased functional connectivity in the ventral loop (ventral striatum-right ACC) and dorsal loop (executive striatum-right ACC and sensorimotor striatum-right ACC), accompanied by decreased structural connectivity; relatives had reduced functional connectivity in the ventral loop and the dorsal loop (right executive striatum-right ACC) and no significant difference in structural connectivity compared with the other groups. Functional connectivity among people with schizophrenia in the bilateral ventral striatum-right ACC was correlated with positive symptom severity. Limitations: The number of relatives included was moderate. Striatal subdivisions were defined based on a relatively low threshold, and structural connectivity was measured based on fractional anisotropy alone. Conclusion: Our findings provide insight into the role of hypoconnectivity of the ventral corticostriatal system in people with schizophrenia.

Clinical features of eyelid demodex infection in patients with meibomian gland dysfunction / 国际眼科杂志(Guoji Yanke Zazhi)

@#AIM:To analyze the clinical features of ectopic demodex infection in patients with meibomian gland dysfunction. <p>METHODS: A retrospective study. Totally 220 patients(440 eyes)with meibomian gland dysfunction were selected from November 2016 to June 2018. They were divided into uninfected group and infected group according to the concurrence of eyelash demodex infection. 110 patients(220 eyes)in each group. The ocular function indexes of the two groups were tested and compared, and the clinical characteristics of eyelash demodex infection were evaluated.<p>RESULTS: The incidence of itching, foreign body sensation, eye pain, dryness and astringency in the infected group was significantly higher than that in the non-infected group(<i>P</i><0.05), and there was no significant difference in the incidence of symptoms such as redness, secretion increase, fatigue and photophobia(<i>P</i>>0.05); the average tear film rupture time and basic tear secretion in the two groups were significantly lower than that in the normal level, and the infected group was significantly lower than that in the non-infected group(<i>P</i><0.05). Corneal staining score and tarsal gland secretion function score in non-infected group were significantly lower than those in infected group(<i>P</i><0.05).<p>CONCLUSION: Patients with tarsal gland dysfunction are more likely to suffer from itching, dryness, eye pain and other symptoms after eyelash demodex infection, which increases the damage of corneal and conjunctival epithelium. It is of great significance to pay attention to demodex infection examination for patients with tarsal gland dysfunction.

Erratum: Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study.

[This corrects the article DOI: 10.1038/s41537-017-0023-7.].

Altered Brain Network Connectivity as a Potential Endophenotype of Schizophrenia.

Abnormal functional brain connectivity could be considered an endophenotype of psychosis in schizophrenia. Identifying candidate endophenotypes may serve as a tool for elucidating its biological and neural mechanisms. The present study investigated the similarities and differences of features of brain network connectivity between patients and their first-degree relatives. Independent component analysis was conducted on imaging data collected from 34 healthy controls, 33 schizophrenia patients, and 30 unaffected first-degree relatives. The correlation between functional connectivity with neurocognitive performance and clinical symptoms were calculated. Abnormalities of between-network connectivity largely overlapped in patients and first-degree relatives, but the extent of such abnormalities was relatively minor in relatives. Negative connectivity between language networks and executive control networks was impaired in schizophrenia patients and their first-degree relatives, and this decreased connectivity was correlated with performance in language processing. Similar impairments were found in high-visual network and executive network coupling, and this decreased connection was correlated with the severity of positive symptoms in patients. The results indicated that abnormal functional connectivity within and between perceptual systems (i.e., high-visual and language) and executive control networks was related to the generic risk of schizophrenia, which makes it a potential endophenotype for schizophrenia.

Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study.

Previous studies suggested that electroconvulsive therapy can influence regional metabolism and dopamine signaling, thereby alleviating symptoms of schizophrenia. It remains unclear what patients may benefit more from the treatment. The present study sought to identify biomarkers that predict the electroconvulsive therapy response in individual patients. Thirty-four schizophrenia patients and 34 controls were included in this study. Patients were scanned prior to treatment and after 6 weeks of treatment with antipsychotics only (n = 16) or a combination of antipsychotics and electroconvulsive therapy (n = 13). Subject-specific intrinsic connectivity networks were computed for each subject using a group information-guided independent component analysis technique. Classifiers were built to distinguish patients from controls and quantify brain states based on intrinsic connectivity networks. A general linear model was built on the classification scores of first scan (referred to as baseline classification scores) to predict treatment response. Classifiers built on the default mode network, the temporal lobe network, the language network, the corticostriatal network, the frontal-parietal network, and the cerebellum achieved a cross-validated classification accuracy of 83.82%, with specificity of 91.18% and sensitivity of 76.47%. After the electroconvulsive therapy, psychosis symptoms of the patients were relieved and classification scores of the patients were decreased. Moreover, the baseline classification scores were predictive for the treatment outcome. Schizophrenia patients exhibited functional deviations in multiple intrinsic connectivity networks which were able to distinguish patients from healthy controls at an individual level. Patients with lower classification scores prior to treatment had better treatment outcome, indicating that the baseline classification scores before treatment is a good predictor for treatment outcome.

Psychopathology and personality traits associated with driving while intoxicated in Beijing, China: Implications for interventions.

BACKGROUND AND OBJECTIVES: Driving while intoxicated (DWI) represents an area of grave concern in China, yet little research has focused on it or on the personality traits and psychiatric disorders among these drivers. METHODS: We enrolled 325 of 382 residents charged with DWI in a compulsory detention center in Beijing, China. And 351 male drivers who had never had any alcohol arrests as control participants. All were screened for Axis I disorders using the Chinese version of the Structured Clinical Interview for the Diagnostic Statistical Manual of Mental Disorders IV-TR (SCID), the Minnesota Multiphasic Personality Inventory (MMPI-2), and the Sixteen Personality Factor Questionnaire (16PF). RESULTS: The subjects were all males with a mean (±SD) age of 34.41 ± 8.48 years, and almost 30% met DSM-IV criteria for alcohol abuse or dependence (n = 92). Compared to normal controls they showed greater Social Boldness, Abstractedness, Apprehension, Liveliness and Tension, and poorer Reasoning, Vigilance, Openness to Change, and Self-reliance. On the MMPI-2, DWI subjects showed greater Hypochondriasis, Psychopathic Deviate, Paranoia, Psychasthenia, Schizophrenia and Hypomania; and lower Social introversion. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Severe alcohol problems are more common in Beijing's drunk drivers than in the Chinese general population. These DWI drivers also have a broad variety of traits that increase their tendency to be venturesome and socially bold while enjoying excitement and risk-taking. (Am J Addict 2017;26:374-378).

Probing the Serotonin Transporter Availability Among Male Cigarette Smokers: A SPECT Study With [123I] ADAM.

OBJECTIVE: Genetic studies have suggested that the serotonin transporter (SERT) could be associated with cigarette smoking. However, evidence from neuroimaging is scarce. The aim of the present study was to examine the SERT availability among cigarette smokers by using single-photon emission computed tomography (SPECT). METHODS: Sixteen male smokers and 32 controls were enrolled. The SERT availability was measured by SPECT with a radiotracer, [I] ADAM, which is highly sensitive and specific to SERT. RESULTS: No significant difference in SERT availability was found between 2 groups in the midbrain (smokers: 2.12 ±â€Š0.70, nonsmokers: 2.13 ±â€Š0.63; P = 0.86), basal ganglia (smokers: 0.83 ±â€Š0.30, nonsmokers:0.90 ±â€Š0.39; P = 0.95), or thalamus (smokers: 1.14 ±â€Š0.41, nonsmokers: 1.20 ±â€Š0.38; P = 0.88). No significant association was found between the SERT availability, and either the breath carbon monoxide level or the score of the Fagerström Test for Nicotine Dependence. CONCLUSIONS: Whether the SERT availability in the brain is altered in smokers remains unclear.