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Article: The association between the romantic relationships of parents and offspring depressive symptoms: Mediating effects of offspring communication patterns and romantic relationships.

Li, Na / Zhang, Yi-Meng / Xiong, Na-Na / Sun, Qi-Qing / Qian, Ying / Sun, Hong-Qiang

2022 Volume 13, Page(s) 897380

Abstract: This study investigated a conceptual model by testing how parental romantic relationships influenced the depressive symptoms of grown-up children and whether the constructive communication patterns of grown-up children and romantic relationships played ... ...

Abstract	This study investigated a conceptual model by testing how parental romantic relationships influenced the depressive symptoms of grown-up children and whether the constructive communication patterns of grown-up children and romantic relationships played mediation effects within it. A total of 421 Chinese participants were enrolled in the study. The level of depressive symptoms, romantic relationship satisfaction and closeness, couple communication patterns, and parental romantic relationships were measured
Language	English
Publishing date	2022-08-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2022.897380
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Article: [Identifying Depressive Disorder With Sleep Electroencephalogram Data: A Study Based on Deep Learning].

Tao, Ran / Ding, Sheng-Nan / Chen, Jie / Zhu, Xue-Min / Ni, Zhao-Jun / Hu, Ling-Ming / Zhang, Yang / Xu, Yan / Sun, Hong-Qiang

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition

2023 Volume 54, Issue 2, Page(s) 287–292

Abstract: Objective: To explore the effectiveness of using deep learning network combined Vision Transformer (ViT) and Transformer to identify patients with depressive disorder on the basis of their sleep electroencephalogram (EEG) signals.: Methods: The sleep ...

Abstract	Objective: To explore the effectiveness of using deep learning network combined Vision Transformer (ViT) and Transformer to identify patients with depressive disorder on the basis of their sleep electroencephalogram (EEG) signals. Methods: The sleep EEG signals of 28 patients with depressive disorder and 37 normal controls were preprocessed. Then, the signals were converted into image format and the feature information on frequency domain and spatial domain was retained. After that, the images were transmitted to the ViT-Transformer coding network for deep learning of the EEG signal characteristics of the rapid eye movement (REM) sleep and non-rapid eye movement (NREM) sleep in patients with depressive disorder and those in normal controls, respectively, and to identify patients with depressive disorder. Results: Based on the ViT-Transformer network, after examining different EEG frequencies, we found that the combination of delta, theta, and beta waves produced better results in identifying depressive disorder. Among the different EEG frequencies, EEG signal features of delta-theta-beta combination waves in REM sleep achieved 92.8% accuracy and 93.8% precision for identifying depression, with the recall rate of patients with depression being 84.7%, and the F Conclusion: Using the deep learning ViT-Transformer network, we found that the EEG signal features in REM sleep based on delta-theta-beta combination waves showed better effect in identifying depressive disorder.
MeSH term(s)	Humans ; Deep Learning ; Electroencephalography/methods ; Sleep, REM ; Sleep Stages ; Depressive Disorder
Language	Chinese
Publishing date	2023-03-22
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	2106840-9
ISSN	1672-173X
ISSN	1672-173X
DOI	10.12182/20230360212
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Article ; Online: Genome-wide association meta-analyses identify novel genetic risk loci and polygenic phenotype associations for heroin, methamphetamine and alcohol dependences.

Chang, Su-Hua / Sun, Yan / Wang, Fan / Chang, Xiang-Wen / Zhang, Ying-Jian / Jia, Tian-Ye / Sun, Hong-Qiang / Yue, Wei-Hua / Wu, Ping / Lu, Lin / Shi, Jie

Clinical and translational medicine

2022 Volume 12, Issue 1, Page(s) e659

MeSH term(s)	Alcohol Drinking/adverse effects ; Alcohol Drinking/metabolism ; Genetic Loci/genetics ; Genome-Wide Association Study/methods ; Heroin/adverse effects ; Heroin/metabolism ; Humans ; Methamphetamine/adverse effects ; Methamphetamine/metabolism ; Multifactorial Inheritance/genetics
Chemical Substances	Methamphetamine (44RAL3456C) ; Heroin (70D95007SX)
Language	English
Publishing date	2022-01-24
Publishing country	United States
Document type	Letter ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review
ZDB-ID	2697013-2
ISSN	2001-1326 ; 2001-1326
ISSN (online)	2001-1326
ISSN	2001-1326
DOI	10.1002/ctm2.659
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Article ; Online: Workforce situation of the Chinese mental health care system: results from a cross-sectional study.

Yue, Jing-Li / Li, Na / Que, Jian-Yu / Hu, Si-Fan / Xiong, Na-Na / Deng, Jia-Hui / Ma, Ning / Sun, Si-Wei / Chi, Rui / Shi, Jie / Sun, Hong-Qiang

BMC psychiatry

2022 Volume 22, Issue 1, Page(s) 562

Abstract: Background: High-quality mental health services can improve outcomes for people with mental health problems and abate the burden of mental disorders. We sought to identify the challenges the country's mental health system currently faces and the human ... ...

Abstract	Background: High-quality mental health services can improve outcomes for people with mental health problems and abate the burden of mental disorders. We sought to identify the challenges the country's mental health system currently faces and the human resource situation related to psychological services and to provide recommendations on how the mental health workforce situation could be addressed in China. Methods: This study used a cross-sectional survey design. A web-based questionnaire approach and a convenience sampling method were adopted. It was carried out from September 2020 to January 2021 in China, and we finally included 3824 participants in the analysis. Descriptive statistical analysis of the characteristics of the study sample was performed. The risk factors for competence in psychological counseling/psychotherapy were assessed using multiple linear regression analysis. Results: Workforce related to psychotherapy is scarce in China, especially in Western China and community mental health sectors. Psychiatrists (39.1%) and nurses (38.9%) were the main service providers of psychotherapy in psychiatric hospitals, and clinical psychologists (6.9%) and counsellors (5.0%) were seriously scarce in mental health care sectors. A total of 74.2% of respondents had no systematic psychological training, and 68.4 and 69.2% of them had no self-experience and professional supervision, respectively. Compared with clinical psychologists and counselors, psychiatrists and nurses had less training. Systematic psychological training (β = - 0.88), self-experience (β = - 0.59) and professional supervision (β = - 1.26) significantly influenced psychotherapy capacity (P<0.001). Conclusions: Sustained effort will be required to provide a high-quality, equitably distributed psychotherapy workforce in China, despite challenges for community mental health sectors and western China being likely to continue for some time. Because mental illness is implicated in so many burgeoning social ills, addressing this shortfall could have wide-ranging benefits.
MeSH term(s)	China ; Cross-Sectional Studies ; Delivery of Health Care ; Humans ; Mental Health Services ; Workforce
Language	English
Publishing date	2022-08-22
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2050438-X
ISSN	1471-244X ; 1471-244X
ISSN (online)	1471-244X
ISSN	1471-244X
DOI	10.1186/s12888-022-04204-7
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Article ; Online: Association between functional and structural connectivity of the corticostriatal network in people with schizophrenia and unaffected first-degree relatives.

Li, Peng / Jing, Ri-Xing / Zhao, Rong-Jiang / Shi, Le / Sun, Hong-Qiang / Ding, Zengbo / Lin, Xiao / Lu, Lin / Fan, Yong

Journal of psychiatry & neuroscience : JPN

2020 Volume 45, Issue 6, Page(s) 395–405

Abstract: 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 ... ...

Abstract	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.
MeSH term(s)	Adult ; Cerebral Cortex/diagnostic imaging ; Cerebral Cortex/pathology ; Cerebral Cortex/physiopathology ; Connectome ; Corpus Striatum/diagnostic imaging ; Corpus Striatum/pathology ; Corpus Striatum/physiopathology ; Diffusion Tensor Imaging ; Family ; Female ; Gyrus Cinguli/diagnostic imaging ; Gyrus Cinguli/pathology ; Gyrus Cinguli/physiopathology ; Humans ; Magnetic Resonance Imaging ; Male ; Nerve Net/diagnostic imaging ; Nerve Net/pathology ; Nerve Net/physiopathology ; Schizophrenia/diagnostic imaging ; Schizophrenia/pathology ; Schizophrenia/physiopathology ; Ventral Striatum/diagnostic imaging ; Ventral Striatum/pathology ; Ventral Striatum/physiopathology ; Young Adult
Language	English
Publishing date	2020-05-21
Publishing country	Canada
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	1077443-9
ISSN	1488-2434 ; 1180-4882
ISSN (online)	1488-2434
ISSN	1180-4882
DOI	10.1503/jpn.190015
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Article ; Online: Enhanced temporal variability of amygdala-frontal functional connectivity in patients with schizophrenia.

Yue, Jing-Li / Li, Peng / Shi, Le / Lin, Xiao / Sun, Hong-Qiang / Lu, Lin

NeuroImage. Clinical

2018 Volume 18, Page(s) 527–532

Abstract: Background: The "dysconnectivity hypothesis" was proposed 20 years ago. It characterized schizophrenia as a disorder with dysfunctional connectivity across a large range of distributed brain areas. Resting-state functional magnetic resonance imaging ( ... ...

Abstract	Background: The "dysconnectivity hypothesis" was proposed 20 years ago. It characterized schizophrenia as a disorder with dysfunctional connectivity across a large range of distributed brain areas. Resting-state functional magnetic resonance imaging (rsfMRI) data have supported this theory. Previous studies revealed that the amygdala might be responsible for the emotion regulation-related symptoms of schizophrenia. However, conventional methods oversimplified brain activities by assuming that it remained static throughout the entire scan duration, which may explain why inconsistent results have been reported for the same brain region. Methods: An emerging technique is sliding time window analysis, which is used to describe functional connectivity based on the temporal variability of regions of interest (e.g., amygdala) in patients with schizophrenia. Conventional analysis of the static functional connectivity between the amygdala and whole brain was also conducted. Results: Static functional connectivity between the amygdala and orbitofrontal region was impaired in patients with schizophrenia. The variability of connectivity between the amygdala and medial prefrontal cortex was enhanced (i.e., greater dynamics) in patients with schizophrenia. A negative relationship was found between the variability of connectivity and information processing efficiency. A positive correlation was found between the variability of connectivity and symptom severity. Conclusion: The findings suggest that schizophrenia was related to abnormal patterns of fluctuating communication among brain areas that are involved in emotion regulations. Unveiling the temporal properties of functional connectivity could disentangle the inconsistent results of previous functional connectivity studies.
MeSH term(s)	Adult ; Amygdala/diagnostic imaging ; Amygdala/physiopathology ; Emotions/physiology ; Female ; Frontal Lobe/diagnostic imaging ; Frontal Lobe/physiopathology ; Humans ; Magnetic Resonance Imaging ; Male ; Neural Pathways/diagnostic imaging ; Neural Pathways/physiopathology ; Schizophrenia/diagnostic imaging ; Schizophrenia/physiopathology ; Young Adult
Language	English
Publishing date	2018-02-27
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2701571-3
ISSN	2213-1582 ; 2213-1582
ISSN (online)	2213-1582
ISSN	2213-1582
DOI	10.1016/j.nicl.2018.02.025
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Article ; Online: Reply to Hertenstein et al. 's commentary on Yue et al.: Efficacy and tolerability of pharmacological treatments for insomnia in adults: A systematic review and network meta-analysis.

Yue, Jing-Li / Chang, Xiang-Wen / Zheng, Jun-Wei / Shi, Le / Xiang, Ya-Jie / Que, Jian-Yu / Yuan, Kai / Deng, Jia-Hui / Teng, Teng / Li, Yang-Yang / Sun, Wei / Sun, Hong-Qiang / Vitiello, Michael V / Tang, Xiang-Dong / Zhou, Xin-Yu / Bao, Yan-Ping / Shi, Jie / Lu, Lin

Sleep medicine reviews

2023 Volume 69, Page(s) 101773

MeSH term(s)	Humans ; Adult ; Sleep Initiation and Maintenance Disorders/drug therapy ; Network Meta-Analysis
Language	English
Publishing date	2023-03-15
Publishing country	England
Document type	Meta-Analysis ; Systematic Review ; Journal Article ; Research Support, Non-U.S. Gov't ; Comment
ZDB-ID	1414211-9
ISSN	1532-2955 ; 1087-0792
ISSN (online)	1532-2955
ISSN	1087-0792
DOI	10.1016/j.smrv.2023.101773
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Article ; Online: Efficacy and tolerability of pharmacological treatments for insomnia in adults: A systematic review and network meta-analysis.

Sleep medicine reviews

2023 Volume 68, Page(s) 101746

Abstract: Insomnia is one of the most common and burdensome disorders in adults. We compared and ranked insomnia medication on the basis of their efficacy and tolerability. We performed a systematic review and network meta-analysis of placebo-controlled or head-to- ...

Abstract	Insomnia is one of the most common and burdensome disorders in adults. We compared and ranked insomnia medication on the basis of their efficacy and tolerability. We performed a systematic review and network meta-analysis of placebo-controlled or head-to-head randomized controlled trials for primary insomnia in adults comparing 20 drugs. We searched eight databases and seven trial registers from inception to March 1st, 2022. Primary outcomes included sleep latency (SL), awake time after sleep onset (WASO) and discontinuation for adverse events (AED), and secondary outcomes included total sleep time (TST), sleep efficiency (SE), sleep quality (SQ) and adverse events (ADE). Pooled standardized mean differences or odds ratios with 95% credible intervals were estimated using pairwise and network meta-analysis with random-effects. Differences among trial findings were explored in subgroup and sensitivity analyses. Confidence in evidence was assessed using GRADE. The PROSPERO registered number is CRD42020182144. We identified 22,538 records and included 69 studies (17,319 patients). Orexin receptor antagonists (ORAs) are more efficacious than benzodiazepine-like drugs (Z-drugs) and placebo for WASO and SE, and better than melatonin receptor agonists (MRAs) for SL, WASO and SE. ORAs ranked the best in SL (SUCRA value: 0.84), WASO (0.93), TST (0.86) and SE (0.96). Lemborexant and daridorexant (two ORAs) showed greater efficacy than placebo for SL, WASO, and TST, with good tolerability. Z-drugs were more efficacious than placebo for SL, WASO, TST and SE, but with higher risk to safety. Zaleplon and eszopiclone had better efficacy than placebo for TST and SQ respectively. MRAs may also be efficacious for sleep-onset insomnia with good safety. However, the long-term adverse effects of all medications are unclear. Insomnia medications differ in their efficacy and tolerability. ORAs have superior efficacy and tolerability. These findings should aid clinicians in matching risk/benefits of drugs available in their countries to insomnia symptoms.
MeSH term(s)	Humans ; Adult ; Sleep Initiation and Maintenance Disorders/drug therapy ; Network Meta-Analysis ; Sleep ; Hypnotics and Sedatives/adverse effects ; Wakefulness ; Treatment Outcome
Chemical Substances	Hypnotics and Sedatives
Language	English
Publishing date	2023-01-14
Publishing country	England
Document type	Meta-Analysis ; Systematic Review ; Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	1414211-9
ISSN	1532-2955 ; 1087-0792
ISSN (online)	1532-2955
ISSN	1087-0792
DOI	10.1016/j.smrv.2023.101746
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Article ; Online: Reply to Jang et al. 's commentary on Yue et al.: Efficacy and tolerability of pharmacological treatments for insomnia in adults: A systematic review and network meta-analysis.

Sleep medicine reviews

2023 Volume 71, Page(s) 101815

Language	English
Publishing date	2023-07-04
Publishing country	England
Document type	Letter
ZDB-ID	1414211-9
ISSN	1532-2955 ; 1087-0792
ISSN (online)	1532-2955
ISSN	1087-0792
DOI	10.1016/j.smrv.2023.101815
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Article ; Online: Dissociable effects of sleep deprivation on functional connectivity in the dorsal and ventral default mode networks.

Chen, Wen-Hao / Chen, Jie / Lin, Xiao / Li, Peng / Shi, Le / Liu, Jia-Jia / Sun, Hong-Qiang / Lu, Lin / Shi, Jie

Sleep medicine

2018 Volume 50, Page(s) 137–144

Abstract: Objective: To examine changes in functional connectivity of the default mode network (DMN) that are induced by sleep deprivation, and to identify individual differences that contribute to the vulnerability of the brain's response to sleep deprivation.!## ...

Abstract	Objective: To examine changes in functional connectivity of the default mode network (DMN) that are induced by sleep deprivation, and to identify individual differences that contribute to the vulnerability of the brain's response to sleep deprivation. Methods: Using functional magnetic resonance imaging, we scanned 51 healthy young subjects during the resting state. Of these participants, 28 were scanned following 24 h of sleep deprivation, and 23 age- and education-matched control subjects were scanned after being well rested. Results: Independent component analysis was conducted to identify the DMN. Unlike previous studies that consider the DMN as one homogeneous network, the present study found a dissociable effect of sleep deprivation on two subsystems of the DMN. Functional connectivity within the dorsal DMN decreased; this was correlated with longer response times in a psychomotor vigilance task (PVT). An enhanced functional connectivity was found within the ventral DMN as well as between two subsystems, after sleep deprivation. In addition, between-subsystems connectivity was positively correlated with working memory and negatively correlated with the response time of PVT, suggesting a possible compensatory effect of enhanced communication across two subsystems. Conclusions: The present findings suggest a dissociable effect of sleep deprivation on functional connectivity in the DMN. Lower functional connectivity in dorsal DMN was related to impairments of basic cognitive function. Notably, working memory was positively correlated with the putative compensatory enhanced functional connectivity across two subsystems, which in turn correlated with behavioral performance after sleep deprivation; this suggests that good working memory may play a protective role in sleep deprivation.
MeSH term(s)	Brain/diagnostic imaging ; Brain/physiopathology ; Brain Mapping/instrumentation ; Cognition/physiology ; Female ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Memory, Short-Term/physiology ; Models, Neurological ; Nerve Net/diagnostic imaging ; Nerve Net/physiopathology ; Neural Pathways/physiopathology ; Rest/physiology ; Sleep Deprivation/complications ; Sleep Deprivation/physiopathology ; Sleep Deprivation/psychology ; Wakefulness/physiology ; Young Adult
Language	English
Publishing date	2018-06-23
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2012041-2
ISSN	1878-5506 ; 1389-9457
ISSN (online)	1878-5506
ISSN	1389-9457
DOI	10.1016/j.sleep.2018.05.040
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