Clinical trials

This randomized, double-blind, sham-controlled clinical trial will evaluate whether individualized alpha-frequency transcranial alternating current stimulation (tACS) can enhance the effects of mindfulness therapy in adults with generalized anxiety disorder. A total of 99 participants will be randomly assigned to one of three groups: synchronous tACS combined with mindfulness therapy, desynchronous tACS combined with mindfulness therapy, or sham tACS combined with mindfulness therapy. All participants will receive a standardized mindfulness therapy program. The study will compare changes in anxiety symptoms, worry, mindfulness, attention control, cognitive performance, and neurophysiological measures across the three groups. Assessments will be conducted from baseline through follow-up visits to examine both clinical effects and possible neural mechanisms.

Generalized Anxiety Disorder (GAD) is a common psychiatric disorder associated with persistent anxiety, functional impairment, and incomplete response to existing treatments. Although transcranial magnetic stimulation (TMS) has shown therapeutic potential in anxiety disorders, conventional treatment schedules often require several weeks and may not provide sufficiently rapid symptom relief. This study aims to evaluate the efficacy and safety of precision-targeted accelerated continuous theta-burst stimulation (cTBS) guided by individualized functional connectivity between the intraparietal sulcus (IPS) and the amygdala in patients with GAD.

This study aims to evaluate the efficacy, safety, and underlying neural mechanisms of TIS targeting the hippocampus in ameliorating cognitive impairment associated with schizophrenia (CIAS). Researchers will compare active TIS to a sham control to see if TIS works to treat CIAS. Participants will receive TIS twice a day for 2 weeks. Their clinical data, including the baseline clinical symptom scale score, cognitive function, E/I imbalance index recorded by EEG, and MRI data, will be collected at baseline, at the end of the 2-week intervention, and 4 weeks after the intervention.

The problem of obesity among children and adolescents is becoming increasingly serious and may affect their health in adulthood. Researches have found that a type of probiotic in the intestinal tract - "Akkermansia muciniphila" (referred to as AKK), may help regulate metabolism and weight. Although it has shown effects in adults, its safety and efficacy in children and adolescents still need further verification. This study aims to evaluate the effects of supplementing Akkermansia Muciniphila AKK PROBIO on weight, metabolic health and intestinal flora of obese children and adolescents aged 7 to 18.

Schizophrenia is a severe mental illness associated with significant morbidity and disability. Patients often experience metabolic side effects from antipsychotic medications, including weight gain and dyslipidemia. Statins, commonly used to manage dyslipidemia, can lower cholesterol levels but may increase the risk of new-onset diabetes. This study aims to investigate how atorvastatin affects glucose metabolism in schizophrenia patients and assess whether metformin can help improve these metabolic issues. The investigators will include 200 patients with dyslipidemia from the Second Xiangya Hospital and other sites, randomly assigning them to receive either atorvastatin with metformin or atorvastatin with placebo over six months. Key goals include evaluating the impact of atorvastatin on insulin resistance and blood glucose levels and determining the effectiveness of metformin in mitigating glucose metabolism abnormalities while managing lipid levels. Understanding these interactions will help improve treatment strategies for schizophrenia patients, potentially lowering their risk of cardiovascular diseases and diabetes and enhancing overall health outcomes.

Childhood obesity is increasing rapidly in Pakistan, but there are no large, high-quality studies testing ways to prevent it in schools. This study aims to find out if a 9-month program involving health education, daily physical activity, parent workshops, and regular feedback via WhatsApp or SMS can reduce the number of primary school children who are overweight or obese. The study is a cluster randomized controlled trial. A total of 26 primary schools in three cities of Punjab (Lahore, Sahiwal, Bahawalnagar) will be randomly assigned to either the intervention group (13 schools) or the control group (13 schools). Children in grades 3, 4, and 5 (aged 6-12 years) will take part. In the intervention schools, children will receive 18 health education sessions, daily 45 minutes of physical activity, and monthly weight and height checks. Parents will attend three workshops and receive weekly messages and monthly feedback on their child's progress via WhatsApp or SMS. The control schools will continue their usual activities and receive the intervention materials after the study ends. The main outcome is the change in the proportion of children who are overweight or obese from the start of the study to 9 months later. Secondary outcomes include changes in BMI z-score, waist circumference, physical activity, eating habits, and parents' knowledge. A follow-up assessment at 12 months will check if any benefits last. Recruitment of schools and children began on January 8, 2026. This is the first cluster randomized trial of its kind in Pakistan. The results will help inform childhood obesity prevention policies in low- and middle-income countries.

This observational study aims to investigate a clinical cohort of patients with locally advanced esophageal cancer undergoing neoadjuvant chemoimmunotherapy. By integrating multimodal clinical data-including demographic characteristics, medical history, imaging studies, pathological findings, and laboratory tests-and employing deep learning algorithms, the study seeks to develop predictive models for the early and accurate assessment of treatment response prior to surgery. Specifically, this study focuses on addressing the following key scientific questions: 1. Can multimodal clinical data be used to construct an accurate model for predicting pathological complete response (pCR) following neoadjuvant therapy? 2. Can deep learning models enable early identification of patients with suboptimal response to neoadjuvant therapy, defined as stable disease (SD) or progressive disease (PD), before surgery?

The goal of this observational study is to determine the most accurate tumor size measurement method for T-staging and prognostic assessment in lung cancer with cystic airspaces (LCCA). The main questions it aims to answer are: * What is the optimal T-staging approach for accurately classifying lung cancer with cystic airspaces （LCCA) and predicting patient outcomes? * How do imaging features of cystic lesions correlate with their pathological characteristics? * What is the relationship between imaging features of cystic airspace-associated lesions and patient prognosis? * Can optimizing the T-staging method improve clinical decision-making in patients with LCCA?

The goal of this observational study is to investigate the multi-omics characterization early-stage lung cancer exhibiting distinct phenotypes including lung cancer associated with cystic airspaces, multiple primary lung cancers, and so on. The main questions it aims to answer are: * What are the differences in pathogenesis of non-small cell lung cancer with different phenotypes explored by multi-omics? * Whether differential genes lead to potential prognostic models and therapeutic targets? Participants will be followed up after surgery to answer prognosis: whether they have recurred, and the time to recurrence.

This study aims to evaluate the efficacy and safety of TIS targeting the hippocampus in ameliorating cognitive impairment associated with schizophrenia (CIAS). Participants will receive TIS twice a day for 2 weeks. Their clinical data, including the baseline clinical symptom scale score, cognitive function, and MRI data, will be collected at baseline and at the end of the 2-week intervention.

Previous and our studies have shown that cognitive impairments are core symptoms of three major psychiatric disorders-schizophrenia, bipolar disorder, and major depressive disorder, and are associated with underlying brain dysfunction. However, the specific brain networks involved in cognitive impairments (cognitive impairment brain networks) in these disorders, as well as whether their neuroimaging features can be applied to cognitive assessment, diagnosis, and precision treatment, remain unclear. This study aims to identify cognitive impairment brain networks using publicly available large-scale datasets and clinical research, and to explore whether the neuroimaging features of these networks can be utilized for cognitive assessment, diagnosis, and treatment response prediction. First, a "sensitive cognitive assessment model for major psychiatric disorders" will be established through meta-analysis based on sensitive scales. Second, cognitive impairment brain networks will be identified using publicly available large-scale datasets combined with the lesion network mapping method, and their validity will be examined by assessing their non-randomness, reproducibility, symptom specificity, and disease specificity. Third, cognitive assessment and diagnostic models will be developed based on neuroimaging features of these networks. Finally, a combination of cross-sectional and longitudinal study designs will be used in a clinical trial to validate the identified networks and models, and a treatment response prediction model will be established based on the neuroimaging features of cognitive impairment brain networks. This study will advance the understanding of the neurophysiological mechanisms underlying cognitive impairment in major psychiatric disorders, promote the application of neuroimaging in psychiatric diagnosis and treatment, and improve traditional diagnostic, therapeutic, and cognitive assessment approaches.

This research aims to test the effectiveness of Navigated transcranial magnetic stimulation (nTMS) of left Supramarginal Gyrus for negative symptoms. In this double-blind, randomized controlled trial, patients will be assigned to active iTBS experimental group or sham iTBS group. Treatment will last for 10 days, and data will be collected at baseline, 1 day and 1 month after treatment.

Schizophrenia is a severe mental illness that seriously affects the health and functioning of patients. Previous studies have found immunoinflammatory abnormalities in the blood, cerebrospinal fluid, central nervous system, and neuroimaging of people with schizophrenia, along with therapeutic effects of anti-inflammatory drugs on schizophrenia. These evidences suggest a close relationship between schizophrenia and immunity and inflammation. Therefore, we consider that the state of immune inflammation is a potential subtype classification basis for schizophrenia, and hypothesize that immune classification based on peripheral-central multidimensional data is related to patient's response to medication and cognition.

Antipsychotics are prone to cause metabolic side effects, including weight gain, hyperglycemia, insulin resistance, hyperlipidemia and so on, leading to a 2-3 times higher risk of death in patients with schizophrenia compared to healthy people. Conventional high-frequency rTMS have been used to treat people with obesity and showed certain effectiveness. However, studies involving schizophrenia patients and intermittent theta burst (iTBS) mode are rarely seen. The goal of this clinical trial is to evaluate the efficacy and safety of iTBS on ameliorating increased appetite induced by antipsychotics in people with schizophrenia.

To evaluate the efficacy of Jieyu Chufan Capsules, with placebo as the control, in combination with SSRIs in patients with moderate and severe depression. To observe the safety of Jieyu Chufan Capsules and its effects in improving the side effects of SSRIs.

The goal of this clinical trial is to learn if high definition transcranial direct current stimulation (HD-tDCS) of right inferior frontal gyrus works to improve social impairments in children with autism spectrum disorder (ASD). It will also learn about the underlying brain mechanism. The main questions it aims to answer are: * Does HD-tDCS of right inferior frontal gyrus improve social impairments in children with ASD? * What are the underlying brain mechanisms by which the HD-tDCS of right inferior frontal gyrus improves social impairments in children with ASD? Researchers will compare participants received active HD-tDCS to controls received sham HD-tDCS (performed to mimic the sensation induced by real HD-tDCS before and after the stimulation) to see if HD-tDCS of right inferior frontal gyrus improves social impairments in children with ASD. Participants will: * Receive a dose of 2 mA HD-tDCS of right inferior frontal gyrus lasting for 10 days. * Receive social functioning assessment, functional near-infrared spectroscopy and electroencephalography measurement before and after stimulation * Visit the clinic once every 2 weeks for checkups and tests, a total of 2 times.

This is a multicenter study conducted in collaboration with Central South University, The First Affiliated Hospital of Zhengzhou University, Nanjing Brain Hospital of Nanjing Medical University, and Anhui Mental Health Center. The project intends to employ standardized diagnostic criteria and clinical assessment procedures to establish a comprehensive cohort of patients with schizophrenia, encompassing all age groups and disease stages, with follow-up periods exceeding one year. The goal is to create an internationally high-standard clinical cohort database and biobank for schizophrenia. Through a multidimensional assessment framework, the project aims to further investigate the etiology of schizophrenia, patterns of disease progression, and clinical outcomes. By periodically capturing dynamic information on risk and preventive factors, the project aims to achieve early diagnosis, early treatment, and improved prognosis for patients. Additionally, it seeks to explore potential biomarkers within the realm of precision medicine that can predict treatment efficacy, providing viable tools for precision healthcare and clinical decision-making in the field of schizophrenia.

Numerous studies have provided evidence of a correlation between Type 2 Diabetes Mellitus (T2DM) and cognitive dysfunction, specifically in the realms of complex attention, information processing, and executive function. These impairments have been observed in middle-aged and elderly individuals with T2DM, with longer diabetes duration, suboptimal glycemic control, and the presence of diabetic complications being contributing factors. Recent research in young adults and adolescents diagnosed with T2DM has revealed cognitive and brain structural alterations in this growing demographic, suggesting that early disease mechanisms, rather than solely vascular and age-related neurodegeneration, contribute to pathogenesis. However, there remains uncertainty regarding the interplay between central and peripheral insulin resistance and its impact on cognitive dysfunction in individuals with T2DM. This study aims to investigate central insulin resistance in T2DM, elucidating its association with peripheral insulin resistance and the effects on cognitive impairments.

Repetitive transcranial magnetic stimulation (rTMS) has been successfully used to help patients with treatment resistant depression. However, its role in alleviating self injuries with and without suicidal ideation remained uncertain. This trial will compare the effectiveness of active accelerated intermittent theta burst stimulation (aiTBS) rTMS to a placebo control on non-suicidal self injury (NSSI) and suicidal attempts in patients with major depressive disorder.

Parkinson\'s Disease (PD) and sarcopenia are prevalent age-related syndromes, often occurring simultaneously within individuals. Sarcopenia is notably common among PD patients, with severe cases affecting approximately one in every five individuals with PD. Moreover, sarcopenia is closely linked to the accelerated progression of PD, diminished quality of life, heightened mortality risk, and increased susceptibility to falls and fractures. Therefore, early detection of sarcopenia assumes particular significance as it offers an opportunity for interventions aimed at mitigating or delaying muscle degeneration, potentially influencing PD outcomes. This review will delve into the relationship between sarcopenia and PD, methods for screening and testing sarcopenia, and potential avenues for further research and the development of strategies for risk reduction and treatment

Autoimmune encephalitis (AE) is a potentially life-threatening inflammation of the central nervous system (CNS) and constitutes 20%-30% of encephalitis cases in adults AE often leads to subacute, severe, and debilitating encephalitis necessitating long-term management in a neurologic intensive care unit (ICU). This study aims to explore the predictive factors for poor clinical outcomes by analyzing the clinical characteristics and prognosis of adult patients with critical AE requiring ICU admission. Prospective observational single center study in neurologic ICU, the second Xiangya hospital, Central South University. All patients admitted to the ICU for probable or confirmed AE (2022 Chinese guidelines for diagnosis and treatment of AE) will be included. Factors associated with a poor prognosis will be identified by multivariate analysis using a logistic regression.

The goal of this clinical trial is to compare the clinical efficacy of individualized dosing based on the population pharmacokinetics (PK) model and empirical dosing of vancomycin in participants with severe infections. It aims to answer whether individual vancomycin dosing based on population PK model is superior to empirical dosing in terms of clinical efficacy and safety. Participants will be randomly divided into experimental group and control group. The experimental group will be guided by the population PK model for individual dosing, and the control group will be given empirical dosing. Demographic data, clinical characteristics of participants, and their trough concentrations (Cmin) and peak concentrations (Cmax) of vancomycin will be collected. Area under the concentration curve (AUC24) of participants will be calculated using the first-order PK equation. Researchers will compare experimental group and control group to see if individual vancomycin dosing based on population PK model is superior to empirical dosing in terms of clinical efficacy and safety.

Many studies have shown that patients with depression had weak brain region connections and low levels of activation of the prefrontal lobe when brain activity was active and that patients with depression have a negative attentional bias, and the patient's abnormal attentional allocation may stem from a loss of attention avoidance of negative cues and a loss of attention preference for positive cues. Here use the near-infrared, eye movement to evaluate the cognitive function in patients with depression. The purpose of the study is to explore the correlation between depressed symptom and cognition function among the depression patients and the difference between first-onset of depressed patients and those is recurrent.