Clinical trials

To investigate the mechanism and efficacy of a novel repetitive transcranial magnetic stimulation (rTMS) intervention model with paired cerebellar-medial prefrontal cortex (mPFC) pulses on methamphetamine use disorder patients and to develop a novel physiotherapeutic intervention to optimise the treatment and management.

Cognitive deficit is a core symptom of schizophrenia related to poorer functional outcome. Prior studies indicated that abnormalities in the hippocampus-prefrontal circuit and glutamate/GABA imbalances may lead to cognitive deficits. Based on the current background and our previous studies, it has been proved that TUS can modulate neural excitability and plasticity in the hippocampus. In this double-blind, randomized study, the efficacy of different treatment options and mechanisms of TUS on cognitive deficits will be investigated.

This study aims to evaluate the efficacy and safety of Temporal Interference (TI) stimulation in treating patients with post-traumatic stress disorder (PTSD) and to explore its potential neural mechanisms using magnetic resonance imaging (MRI) ,magnetoencephalography（MEG）,electroencephalography (EEG).

The investigators assume that High-intensity transcranial Alternating Current Stimulation (HI-tACS) could improve gambling disorder patients' executive-control function by modulating abnormal neural activity, particularly gamma-band oscillations, which are closely associated with executive-control deficits. This study intends to validate the effect of HI-tACS treatment, which has been discovered in the previous pilot study. A three-month follow-up assessment will be conducted to test the changes in executive-control function and its underlying mechanism.

Schizophrenia is one of the components of severe mental disorders. It has the characteristics of prolonged course, low cure rate, high recurrence rate and high disability rate. It brings many short-term and long-term effects to individuals, families and society. Studies on patients with schizophrenia mainly focus on cross-sectional and case-control studies, but there is a lack of long-term follow-up of patients with schizophrenia in the community. Therefore, this study would establish a cohort study to solve the chronological relationship between exposure and effect, focus on community schizophrenia, and establish a community schizophrenia patient biobank that has been tracked for a long time from diagnosis.

This study focuses on the neurobiological changes in MDD patients with high suicidal risk during rapid antidepressant treatments, such as Esketamine and Electroconvulsive Therapy (ECT). Core ObjectivesEstablish a standardized longitudinal cohort for high-risk suicidal populations to ensure high-quality data for clinical transformation. Investigate the biological mechanisms of rapid-acting interventions by analyzing changes in brain function and molecular pathways. Develop predictive biomarkers to identify treatment responders early, thereby reducing ineffective trial-and-error treatments and lowering suicide risk. Methodology \& Data CollectionThe study integrates multi-dimensional data across three critical time points: T0 (Baseline), T1 (Acute Phase/24h post-first treatment), and T2 (Remission Phase/4-6 weeks). Sample Cohort: A total of 130 participants (70 ECT, 30 Esketamine, 30 conventional medication). Multimodal Data Integration:Clinical Phenotyping: Standardized scales including HAMD-17 (Primary Indicator), C-SSRS (Suicide Assessment), and QIDS-SR16. Biological Omics: Whole Genome Sequencing (WGS), single-cell sequencing, proteomics, metabolomics, DNA methylomics, and gut metagenomics. Neuroimaging \& Physiology: Functional MRI (fMRI), Diffusion Tensor Imaging (DTI), and 32-channel resting-state EEG. SignificanceBy capturing dynamic "treatment-response" trajectories, the project aims to move beyond descriptive symptoms to a system biology-based diagnosis. The findings are expected to provide scientific evidence for individualized intervention strategies and improve the efficiency of care for patients with treatment-resistant depression and acute suicidal ideation.

This is an open-label, single-center, phase I clinical study in patients with moderate-to-severe early-onset Alzheimer's disease. The study aims to evaluate the safety, tolerability, and preliminary efficacy of neural stem cell-derived exosomes (NSC-EVs) administered by the intranasal route. A total of 9 participants will be enrolled in 3 frequency-escalation groups: once every 3 days, once every other day, and once daily, each for 28 days. Participants will undergo screening and baseline assessment, a 28-day treatment period, and follow-up visits at 4, 8, and 24 weeks after the end of treatment.

Schizophrenia is a common and severe mental disorder that imposes a significant burden on patients. Cognitive impairment can be regarded as one of the core symptoms of schizophrenia, which is prevalent among patients with schizophrenia. In recent years, digital rehabilitation therapy based on games has shown a remarkable development trend among schizophrenia patients. Serious games, or application games, refer to those games aimed not only for entertainment. They can educate, train, or change the behavior of players through interesting intervention forms and have been applied in many healthcare fields. This study aims to develop a somatosensory interactive game for patients with cognitive impairment of schizophrenia to improve their cognitive functions and verify its effectiveness and feasibility through a randomized controlled trial.

Schizophrenia is a severe and chronic mental disorder that profoundly impacts patients' psychological, social, and occupational functions. Cognitive impairment is a core symptom that severely limits daily living abilities. Systematic rehabilitation is crucial for delaying disease progression and improving social functions. Traditional rehabilitation typically relies on pharmacological treatments and conventional cognitive remediation therapies. However, cognitive training alone rarely translates spontaneously into real-world functional improvement; integration with functional skills training is generally required before meaningful gains in daily living are achieved. Furthermore, traditional interventions are typically delivered in contexts detached from patients' everyday lives and are often perceived as monotonous, resulting in poor treatment adherence and compromised long-term rehabilitation outcomes. With the development of digital health technologies, gamified interventions offer new opportunities for psychiatric rehabilitation. Among these innovative approaches, integrating psychoeducation with interactive storytelling has shown unique advantages. Such immersive narrative contexts can effectively enhance patients' illness awareness, treatment motivation, and medication adherence. Nevertheless, existing digital tools still have room for improvement. On one hand, many applications are confined to static screen-based interactions, overlooking the elevated somatic disease burden and sedentary risks prevalent in this population. On the other hand, existing applications rarely successfully integrate cognitive interventions with coherent psychosocial interventions, making it difficult for cognitive improvements to genuinely translate into real-life skills. To this end, the present study developed an interactive digital rehabilitation application specifically designed for individuals with schizophrenia. This intervention innovatively combines cognitive remediation with psychosocial rehabilitation through two distinct yet highly complementary modules: a sensory-motion cognitive module, which leverages the built-in motion-sensing capabilities of mobile devices to engage patients in moderate physical activity while performing cognitive tasks; and an interactive narrative module, encompassing medication management, symptom management, psychological recovery, and social rehabilitation. Through a randomized controlled trial, this study evaluates the practical effectiveness of this multimodal approach in improving patients' overall rehabilitation outcomes, ultimately seeking to provide a highly engaging rehabilitation pathway that facilitates the transfer of skills to daily life.

Bipolar disorder (BD) has become a significant public health problem with complex clinical manifestations, difficult treatment, and poor prognosis. However, there is still a lack of effective biological markers for diagnosing and predicting recurrence. Sentiment analysis computing usually refers to using machine equipment to classify, identify, interpret, and imitate human emotions. However, current multi-modal emotion analysis research is mainly based on one or two modalities. Due to the diversity and complexity of patients' emotional expressions, this single- and dual-modal information analysis is far from enough for accurate discrimination of emotional symptoms. Only emotion analysis technology based on multi-modal feature fusion can make more precise and effective judgments. The current project is based on our previous research on cognitive neuroimaging and big data analysis of bipolar disorder. The investigators plan to enroll 200 BD patients who meet DSM-5 diagnostic criteria and 200 healthy controls. The investigators will use sentiment analysis technology with multi-modal feature fusion (text data, audio and visual modalities, eye movements, and electrophysiology) to identify BD recurrence. Biological markers for risk prediction and an algorithm model for joint judgment of multi-source information will be established to analyze the characterization data. The effectiveness of this recurrence prediction model will be further verified and optimized through a large-sample, prospective cohort study design. It is hoped that it can provide a new method for predicting the recurrence risk of BD patients. In the near future, clinical decision-making aids based on this auxiliary method can be developed, and the translational application value of clinical diagnosis and treatment can be explored.

This randomized controlled trial (RCT) is the first to evaluate the efficacy and safety of a multi-target TMS protocol targeting the left dorsolateral prefrontal cortex (L-DLPFC), left inferior parietal lobule (L-IPL), and right orbitofrontal cortex (R-OFC) for negative symptoms of schizophrenia.

The trail aimed to test the efficacy of AI-based rehabilitation treatment in patients with anxiety disorders. Specifically, the objective of this trial is to determine whether the AI-based rehabilitation combined with treatment as usual is more effective than treatment as usual alone in improving outcomes in patients with anxiety disorders.

The goal of this clinical study is to investigate the neural mechanisms of abnormal sensory phenomena in patients with Obsessive-Compulsive Disorder and to evaluate whether modulation of the insula-supplementary motor area circuit can improve these symptoms. The study will include adult patients with OCD (with or without sensory phenomena) and healthy volunteers. The main questions it aims to answer are: * Do patients with OCD show abnormal activity in the insula-SMA circuit compared with healthy controls? * Is this abnormality associated with the presence and severity of abnormal sensory phenomena? * Can low-frequency rTMS targeting the Supplementary Motor Area improve sensory phenomena and obsessive-compulsive symptoms? Researchers will compare an on-line rTMS group (viewing body-focused videos during stimulation) with an off-line rTMS group (resting during stimulation) to evaluate whether task engagement enhances treatment effects. Participants will: * Complete clinical assessments and behavioral tasks. * Undergo EEG and fMRI assessments. * Receive low-frequency rTMS targeting the Supplementary Motor Area. * Repeat assessments after the intervention.

Obessive-Compulsive Disorder (OCD) is frequently treatment-refractory and imposes a substantial burden on affected individuals. Although Exposure and Response Prevention (ERP) is widely regarded as the first-line intervention, its inherently distressing nature contributes to treatment refusal and premature dropout in a subset of patients. The present study aims to develop and validate a novel intervention, Mindfulness-Based Exposure Therapy (MBET). In contrast to existing protocols that incorporate mindfulness as an adjunct to ERP and have yielded mixed or limited benefits, this study seeks a theoretically grounded integration of mindfulness and exposure-based principles. We hypothesize that mindfulness training improves emotion regulation, thereby producing a synergistic effect that enhances patients' capacity to engage in and complete exposure tasks. From a clinical perspective, MBET is intended to offer a more tolerable and acceptable alternative to standard ERP, with the potential to improve treatment adherence and clinical outcomes among patients who experience traditional exposure procedures as excessively distressing.

The purpose of this research is to investigate the efficacy of transcranial temporal interference stimulation (tTIS) targeting the amygdala in patients with alcohol use disorder.

This clinical trial aims to investigate a novel non-pharmacological intervention, transcranial electrical stimulation (tES), for the treatment of comorbid depression and chronic pain. The primary objectives are to optimize neurostimulation parameters through a multicenter randomized controlled design and to elucidate the underlying neural circuit-immune interaction mechanisms of this comorbidity. Participants with comorbid depression and chronic pain will be randomly assigned to receive one of four interventions: (1) anodal tDCS unilateral hemispheric concurrent dual-site stimulation (a-tDCS UHCDS) targeting the left DLPFC and M1; (2) single-target anodal tDCS over the left DLPFC; (3) 40 Hz gamma transcranial alternating current stimulation (tACS); or (4) sham stimulation. The intervention period will last for 2 weeks, followed by a series of post-treatment follow-up assessments. Researchers will compare the changes in depression severity (e.g., assessed by HAMD-17) and pain intensity (e.g., NRS, BPI) across groups to evaluate the efficacy. Secondary outcomes include pain perception, quantitative sensory testing (QST), fMRI, MEG, metabolic markers, neurotransmitter and inflammatory biomarkers. This study aims to provide a precise, individualized therapeutic strategy, reduce reliance on pharmacotherapy, and promote the development of domestic high-end medical devices.

This study aims to evaluate the efficacy of Temporal Interference (TI) stimulation in treating patients with obsessive-compulsive disorder (OCD) and to explore its potential neural mechanisms using magnetic resonance imaging (MRI) and electroencephalography (EEG).

This study aims to evaluate the effectiveness and safety of lemborexant (a new dual orexin receptor antagonist) in the treatment of patients with mental disorders complicated with insomnia. The subjects are patients aged 18 years and above, who meet the DSM-5 diagnostic criteria for mental disorders and have an Insomnia Severity Index (ISI) score ≥11. They will receive lemborexant treatment for 8 weeks, with follow-up to observe the improvement of insomnia symptoms and adverse events, so as to provide real-world evidence for the clinical optimization of treatment regimens for insomnia comorbid with psychiatric disorders.

This study aims to evaluate the effectiveness of a music-based intervention, guided by the ISO principle, in reducing stress, anxiety and depression induced by work, family or others among adults. The ISO principle suggests that emotional regulation can be supported by gradually modifying the emotional characteristics of music to help individuals transition to a desired emotional state. Participants in this study will be randomly assigned to either a music intervention group or a control group. The intervention group will receive personalized music playlists designed to help reduce stress, anxiety and depression. The control group will not receive any music intervention during the same period. Outcomes will be measured using self-report questionnaires assessing stress, emotional state, and well-being. The study is designed to contribute to the development of accessible, non-invasive stress management tools using music as a behavioral intervention.

This is a randomized, parallel-group, two-arm study design registered with the Chinese Clinical Trial Registry. The study divides participants into an intervention group and a control group in the same ratio. The participants in the intervention group will receive a series of game-based activities and treatment. Firstly, we will distribute the recruitment advertisements for this intervention program in the school, including the project introduction, registration code, and contact details. Secondly, if students are interested in this project, they need to screen the code, and completely fill in personal information, and the screening questionnaire. Thirdly, students reaching the inclusion criteria and their parents will be invited to participate in a project briefing session and obtain their informed consent. Lastly, three times assessments in the whole process will be conducted, preintervention(T0), post-intervention(T1), and at a three-month(T3) follow-up. Importantly, participants can quit the project at any time during the whole process.

The trial aimed to evaluate the efficacy of an artificial intelligence-based system for diagnosing anxiety disorders. Specifically, it sought to determine whether the system's assessment validity is non-inferior to that of psychiatric specialists.

The trial aimed to evaluate the accuracy of an artificial intelligence-based system for diagnosing depressive disorders. Specifically, it sought to determine whether the system's assessment validity is non-inferior to that of psychiatric specialists.

Major depressive disorder (MDD) is a mood disorder characterized primarily by low mood, diminished interest, and reduced energy. Traditional views considered depression a non-degenerative condition; however, recent epidemiological studies have revealed its significant association with impaired social functioning. Data indicate that 59.3% of patients with depression experience social dysfunction of varying severity \[1\], particularly manifesting as difficulties in social interaction and relationship maintenance \[2\]. Therefore, investigating the mechanisms underlying social dysfunction is of great importance for promoting functional recovery in MDD, and dysfunction within the social reward system may represent a core factor, though the specific neural mechanisms remain unclear. The ultimate goal of understanding the neural mechanisms underlying social reward impairment in depressed patients is to improve therapeutic outcomes. Temporal Interference (TI) stimulation, as a non-invasive deep brain stimulation technique, utilizes high-frequency current differentials to generate low-frequency amplitude-modulated electric fields, enabling precise targeting of deep brain regions. This study employs multimodal assessment methods-such as functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and specific cognitive-behavioral tasks-combined with TI stimulation to observe immediate changes in functional connectivity, neural activity, and related cognitive functions (e.g., decision-making, memory) across participant groups. The research aims to elucidate the roles of the parahippocampal gyrus, orbitofrontal cortex, and striatum in social reward impairment in depression, and to explore circuit-based intervention targets, thereby providing novel strategies for the recovery of social functioning in MDD.

The goal of this clinical trial is to determine whether a digital psychological literacy program delivered by an AI-powered virtual agent is non-inferior to traditional teacher-led instruction in improving mental health literacy among adolescents. The study focuses on middle and high school students aged 11 to 18 years attending a school in Shanghai, China, including those with varying levels of emotional well-being but excluding those with diagnosed psychiatric disorders or severe physical illness. The main questions it aims to answer are: Is the virtual agent-delivered psychological literacy program as effective as teacher-led instruction in improving adolescents' mental health literacy? Does the virtual agent intervention lead to comparable or better outcomes in secondary measures such as depression, anxiety, psychological resilience, sleep quality, and digital well-being? Researchers will compare students receiving 6 weekly sessions from a virtual digital agent to students receiving the same curriculum delivered by trained psychology teachers to see if the AI-based approach achieves similar improvements in mental health knowledge, attitudes, and help-seeking behaviors. Participants will: Complete online assessments at baseline, week 3, week 6 and week 18 covering mental health literacy (UMHL-A), depression (PHQ-9), anxiety (GAD-7), psychological resilience (RSCA), and other well-being indicators Attend one 45-60 minute session per week for 6 weeks, either interacting with the virtual agent or participating in a teacher-led class Optionally take part in a brief satisfaction survey and/or a focus group interview after the intervention to share their experiences

This study aims to explore the efficacy of high intensity transcranial alternating current stimulation on individuals with alcohol use disorders. Utilizing a one-arm pilot study design, participants will undergo transcranial alternating current stimulation.