Clinical trials

Background and Rationale With rapid economic development and increasing societal pressures, the incidence of neuropsychiatric disorders has risen annually, ranking as the leading cause of disability worldwide and imposing a severe societal burden. Among these, depressive disorders represent a primary contributor. However, the efficacy and accessibility of transcranial magnetic stimulation (TMS) for depression face significant challenges. Key limitations include: Low targeting accuracy with traditional localization methods. Limited clinical penetration of individualized precision paradigms . In this context, wearable repetitive TMS (wrTMS) technology offers a transformative solution. The rTMS-Tiny device, developed by the Institute of Automation, Chinese Academy of Sciences, exemplifies this innovation with the following features: Battery-powered with a pulse capacity exceeding 8,000 pulses per charge. Ultra-lightweight design: Total system weight \<3 kg, coil helmet \<2 kg (10% of conventional devices). Performance parity: Comparable efficacy to standard rTMS systems while enabling protocols like Stanford Accelerated Intelligent Neuromodulation Therapy (SAINT) . Advantages of rTMS-Tiny Portable Design and Wearable Application Ergonomically optimized helmet allows near-unrestricted daily activities during treatment . Streamlined Operational Workflow Simplified protocols significantly reduce clinician workload . Enhanced Treatment Tolerability Improved comfort increases treatment completion rates and long-term adherence, directly enhancing therapeutic outcomes . These advantages enable high-dose, intensive regimens (e.g., SAINT-like protocols) in routine clinical practice . Scientific Imperative for a Multicenter RCT A multicenter randomized controlled trial (RCT) of rTMS-Tiny is clinically and scientifically warranted to: Test two core hypotheses: Hypothesis 1: Efficacy of rTMS-Tiny in reducing depressive symptoms. Hypothesis 2: Safety of home-based rTMS-Tiny administration . Generate high-level evidence to advance neuromodulation into an era of precision, personalization, and artificial intelligence-driven therapy .

This is a multi-center, single arm, prospective, open-label, extendable study for the efficacy and safety of combo-stim deep brain stimulation for treatment-refractory mental disorders (obsessive-compulsive disorder, schizophrenia, bipolar with depression, anorexia nervosa, gambling disorder and adult autism).

The goal of this clinical trial is to evaluate whether closed-loop theta-burst stimulation (TBS) targeting the right parietal-occipital cortex (rPO) can improve core clinical symptoms in individuals with methamphetamine use disorder (MUD), such as cue-reactivity and impaired inhibitory control. The main questions it aims to answer are: Can closed-loop rPO-TBS significantly reduce cue-reactivity, as measured by a Visual Analog Scale (VAS) and a cue-reactivity task? Does closed-loop stimulation enhance cognitive control, assessed by performance on the Stop Signal Task (SST)? Researchers will administer closed loop TBS to determine whether it can improve the core symptoms of MUD. Participants will: Complete a single closed-loop sessions. Receive theta-burst stimulation targeting the right parietal-occipital cortex while complete the cue-reactivity task. Undergo cue-reactivity assessment using a Visual Analog Scale (VAS) and complete the Stop Signal Task (SST) before and after the stimulation session.

The goal of this clinical trial is to evaluate whether closed-loop transcranial magnetic stimulation (TMS) can improve core clinical symptoms in individuals with methamphetamine use disorder (MUD), such as cue-reactivity and impaired inhibitory control. The main questions it aims to answer are: Can closed-loop TMS significantly reduce cue-reactivity, as measured by a Visual Analog Scale (VAS) and cue-reactivity task, compared to a conventional treatment protocol and random TMS ? Does closed-loop stimulation enhance cognitive control, assessed by performance on the Stop Signal Task (SST), more effectively than the other stimulation modes? Researchers will compare closed-loop, conventional, and random TMS conditions to determine whether closed-loop yields superior symptom improvement. Participants will: Be randomly assigned to one of the three stimulation group (closed-loop, conventional and random) according to a pre generated random number table, and receive the corresponding stimulation session. Undergo cue-reactivity assessment using VAS and cue-reactivity task, and complete the SST before and after each stimulation session.

Antipsychotic medications are widely used to treat schizophrenia but may cause constipation, which can lead to abdominal discomfort, reduced quality of life, and poor treatment adherence. Xingqi Daozhi Decoction is a traditional Chinese medicine formula used to relieve constipation associated with qi stagnation. This study aims to evaluate the effectiveness and safety of Xingqi Daozhi Decoction for antipsychotic-induced constipation with a qi stagnation pattern. This is a single-center, randomized, double-blind, placebo-controlled exploratory study. A total of 46 participants with schizophrenia who developed constipation after taking antipsychotic medications will be enrolled. Participants will be randomly assigned to receive either Xingqi Daozhi Decoction granules or matching placebo granules twice daily for 8 weeks. Neither the participants nor the treating clinicians and outcome assessors will know the treatment assignment during the study. Participants will be evaluated regularly during treatment. The study will assess changes in bowel movements, constipation symptoms, constipation-related quality of life, and treatment safety. Participants will also undergo routine clinical and laboratory safety assessments, and adverse events will be recorded throughout the study. The primary outcome focuses on the proportion of participants who achieve an improvement in complete spontaneous bowel movements during treatment.

Generalized anxiety disorder (GAD) is a common mental health condition characterized by persistent and excessive worry that is difficult to control. It can affect sleep, daily functioning, work, and quality of life. Some individuals experience long-lasting or recurrent symptoms, but the factors that influence the course and outcome of GAD are still not fully understood. The main purpose of this study is to establish a long-term cohort of people with GAD and to better understand how their symptoms and health change over time. The study will also explore factors that may help predict symptom improvement, recurrence, and treatment outcomes. Approximately 400 adults with GAD who receive care at Shanghai Mental Health Center will participate in this study. Participants will undergo regular clinical assessments and follow-up visits. During the study, researchers will collect information about participants' symptoms, medical and treatment history, blood samples, and brain-related measurements. Participants will be followed at several time points to observe changes in symptoms and health. The information collected will be used to better understand the course of GAD and to support the development of more individualized approaches to diagnosis, treatment, and long-term care.

This prospective observational cohort study will enroll approximately 200 children and adolescents aged 7-17 years who are at elevated risk for common mental disorders, including depressive disorders, anxiety disorders, and obsessive-compulsive disorder, based on family history or subthreshold emotional or behavioral symptoms. Participants will be followed for two years. Clinical assessments, questionnaires, EEG, biological samples, and MRI will be collected at scheduled intervals. The study aims to identify factors associated with the onset and progression of these disorders and support early risk identification.

Major depressive disorder (MDD) is a common mental health condition characterized by substantial clinical heterogeneity and variability in treatment response. Current diagnosis and treatment selection for MDD mainly rely on clinical assessments, and reliable biological markers that can support diagnosis, predict antidepressant treatment response, guide personalized treatment, and improve understanding of disease mechanisms remain limited. The goal of this prospective observational cohort study is to develop and optimize multi-omics-based models for MDD diagnosis and antidepressant treatment response prediction using longitudinal clinical characteristics and biological data collected from an independent prospective cohort. The study also aims to evaluate the generalizability and predictive performance of existing multi-omics-based models in this independent cohort of participants aged 14-45 years. The main questions it aims to answer are: Can integrated clinical and multi-omics features identify biomarkers and develop predictive models for MDD diagnosis and antidepressant treatment response? Can existing multi-omics-based models for MDD diagnosis and treatment response prediction be replicated and validated in an independent prospective cohort? Participants with MDD and healthy controls will undergo standardized clinical assessments, longitudinal follow-up, and biological sample collection for multi-omics profiling. Clinical and multi-omics data will be integrated to identify biomarkers, develop and validate predictive models for MDD diagnosis, antidepressant treatment response, and long-term outcomes, and explore biological pathways and potential therapeutic targets associated with MDD. The study is expected to improve understanding of the biological heterogeneity of MDD and contribute to the development of objective approaches for diagnosis, treatment response prediction, personalized care, and future therapeutic discovery.

This study aims to investigate the characteristics of the microbiota-gut-brain axis in pediatric patients with obsessive-compulsive disorder (OCD) through performing an integrated analysis of gut microbiota, serum metabolomics, neuroimaging and electroencephalography (EEG), conducted before and after treatment with selective serotonin reuptake inhibitors (SSRIs). The results will be compared with those of pediatric OCD paitents comorbid with tic disorder (TD) and healthy controls. The findings are expected to further elucidate the potential pathogenesis of OCD, providing a theoretical basis for identifying novel clinical intervention targets and optimizing treatment strategies.

Anorexia nervosa (AN) is a severe psychiatric disorder characterized by a chronic and relapsing course. Caregivers of individuals with AN often experience substantial caregiving burden, emotional distress, and impairment in family functioning due to their ongoing responsibilities in meal supervision, treatment support, and symptom management. Despite the critical role of caregivers in treatment and recovery, evidence-based interventions specifically targeting caregiver burden remain limited in China. This study aims to develop and evaluate an online intervention integrating Family-Based Treatment (FBT) and Dialectical Behavior Therapy (DBT) for caregivers of individuals with AN. FBT emphasizes empowering caregivers to support nutritional rehabilitation and recovery, whereas DBT provides skills in emotion regulation, validation, and effective communication. The integration of these approaches may help caregivers reduce distress, improve caregiving skills, and enhance family functioning. This study will employ a randomized controlled trial design. A total of 80 primary caregivers of individuals with AN will be recruited and randomly assigned to either an online FBT-DBT intervention group or an online supportive psychological intervention group. Both interventions will be delivered in a group format over 12 weeks. Assessments will be conducted at baseline, 4 weeks, 8 weeks, post-intervention (12 weeks), and at 1-month and 3-month follow-up. The primary outcome will be caregiver burden. Secondary outcomes will include psychological distress, negative emotional experiences, and the impact of eating disorder symptoms on the family. The study aims to determine the effectiveness of the online FBT-DBT intervention in reducing caregiver burden and psychological distress and to evaluate whether it provides greater benefits than supportive psychological intervention. Findings may contribute to the development of accessible and evidence-based caregiver interventions for families affected by AN in China.

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 prospective, single-center observational study aims to develop and validate a computer-assisted tool for the objective quantitative assessment of extrapyramidal symptoms (EPS). The study will enroll 180 participants, including 90 healthy controls and 90 participants with clinically confirmed antipsychotic-induced EPS. The healthy control group will provide reference data on normal movement, while the EPS disease group will provide data on abnormal movements associated with drug-induced parkinsonism, akathisia, or tardive dyskinesia. Each participant will complete one study visit lasting approximately 60 minutes. During the visit, a trained psychiatrist will assess EPS using the Simpson-Angus Scale (SAS), Barnes Akathisia Rating Scale (BARS), and Abnormal Involuntary Movement Scale (AIMS). Participants will also complete standardized movement tasks while a non-contact computer vision system records and analyzes movement features. The device-based assessment will be repeated after a short rest to evaluate the stability of the measurements. Data collected earlier in the study will be used to develop and optimize the assessment tool. After the algorithm is finalized and locked, data from subsequently enrolled participants will be used for independent validation. The study will evaluate how closely the tool's results agree with clinician assessments, as well as its ability to identify EPS, produce stable repeated measurements, and operate feasibly and safely in a clinical setting. This is an observational study. The study does not assign treatment, change participants' medications, or use the investigational tool to make treatment decisions.

The goal of this clinical trial is to determine whether a gamified eye-movement intervention can improve cognitive function in individuals across the schizophrenia spectrum, including clinical high-risk individuals, first-episode schizophrenia patients, and chronic schizophrenia patients. The main questions it aims to answer are: * Does eye-movement training improve cognitive performance measured by the MATRICS Consensus Cognitive Battery (MCCB)? * Does eye-movement training improve oculomotor functions and clinical symptoms across different illness stages? Researchers will compare an eye-movement intervention group with an active control group receiving matched finger-controlled game training to determine whether the eye-movement intervention produces greater improvements in cognitive function and eye-movement performance. Participants will: * Receive either gamified eye-movement training or matched finger-controlled game training for 4 weeks. * Complete cognitive assessments using the MCCB before and after the intervention. * Complete standardized eye-tracking tasks, including fixation stability, smooth pursuit, antisaccade, and free-viewing tasks, to evaluate changes in oculomotor control and visual exploration patterns. * Complete clinical symptom assessments using SOPS or PANSS according to illness stage.

Participants diagnosed with tiletamine use disorder will be assigned to active or sham taVNS for 5 days. Clinical outcomes ( e.g., behavioral paradigms measures and clinical scales ) and physiological markers (e.g., EEG and ECG) will be evaluated at baseline, post-treatment, and 3-month follow-ups to determine therapeutic efficacy and mechanisms of action.

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.