View clinical trials related to Schizophrenia.
Filter by:Background: Antipsychotics can induce metabolic disorders such as obesity, hyperglycemia, dyslipidemia or metabolic syndrome. It has been observed that treatment with antipsychotic could be accompanied by a decrease in the concentration of serum magnesium. Low serum concentrations of magnesium are potentially a risk factor of cardiac sudden death (Peacock, 2010). Hypotheses linking magnesium and pathogenesis of cardiovacuscular diseases are multiple. Also, it seems to exist a close relationship between magnesium and carbohydrate metabolism. Most studies on the subject have generally studied plasmatic magnesium. Objective : Describe the relationship between changes in serum and intra-erythrocyte magnesium and cardiometabolic risk in patients innitiating an antipsychotic treatment. A secondary objective is to specify the frequency, magnitude and time to onset of changes in plasma of magnesium levels under antipsychotic treatment. Methods : This is a pilot single-center prospective cohort. After inclusion, patients status (including magnesium levels) will be evaluated (1 and 3 months of treatment) and that status will define the exposure criterion. Included patients will be followed for 1 year during which cardiometabolic markers will be measured. Population : patients who are more than 18 years old with schizophrenia schizoaffective disorder or bipolar disorder, naive to antipsychotic treatment or off for more than 3 months and requiring the introduction of antipsychotic drug therapy. Patients will be recruited during consultations and stays in care units of Adult Psychiatry Unit of Montpellier University Hospital. Factor studied: serum and intra-erythrocytic magnesium levels at beginning and during the antipsychotic treatment measured by a unique analyzer center. Changes in levels of hypomagnesemia expected during the treatment will determine exposure groups. Outcome: cardiometabolic risk markers measured at the beginning and during the treatment will be fasting blood glucose, fasting plasma insulin, HOMA-IR [Ins (uU / mL) x Gly (mmol / L) / 22.5], lipid profile (total cholesterol, LDL, HDL), BMI, waist circumference and ECG (QTc). Cofactors: age, sex, personal and family medical history, blood pressure, smoking, diet, physical activity, psychiatric disease, Global Impressions, anti-psychotic treatment and comedications. Perspectives : to show that decreased in magnesium levels observed among patients starting antipsychotic treatment is associated with deterioration of cardiometabolic risk markers. The demonstration of this association could explain at least part the increased cardiovascular risk observed in this population. In the longer term, the results of this study would argue the implementation of an intervention research project studying magnesium supplementation to minimize the metabolic effects of antipsychotic medications.
The Aim of this National study is to examine whether music therapy can reduce negative symptoms and raise Quality of Life for patients suffering from Schizophrenia. It is an Randomized Controlled Trial (RCT), double-blinded study with two arms. 120 Participants are anticipated. The two Arms consist of 25 weekly hours of Music Therapy by educated Music Therapists and time compensated Music Listening by unknown Care Staff Members. The Study is a close Cooperation between Aalborg University (The Music Therapy Research Clinic) and Aalborg University Hospital, Psychiatry.
The purpose of this study is to determine the respective roles of aging and schizophrenia in the regulation of metamemory using a sentence construction strategy. 4 groups will be necessary to comparison: Adult patients (18-45 years) Adult controls (18-45 years) Aged patients (≥ 55 years) Aged controls (≥ 55 years) The effects of age and the disease could lead to interaction in regulating metamemory. The effect of age would be aggravated by the disease.
The Optimal Treatment for Treatment-resistant Schizophrenia
Current antipsychotic treatments of schizophrenia are only partially effective, and their use is often associated with serious side effects. Cannabidiol is a natural counterpart of the psychoactive component of marijuana, delta-9- tetrahydrocannabinol and has no psychotomimetic or addictive properties. In a controlled clinical trial of cannabidiol versus amisulpride in acute paranoid schizophrenia we showed a statistically significant clinical improvement in all symptoms clusters of schizophrenia compared to baseline with either treatment. Cannabidiol displayed a significantly superior side-effect profile in particular regarding prolactin elevation, extrapyramidal symptoms and weight gain. The favorable side-effect profile and potentially novel mechanism of action identify this molecule as a potential antipsychotic. However, long-term safety and efficacy data is still lacking. This study is to evaluate the efficacy and safety of the novel compound cannabidiol in the maintenance treatment of schizophrenia in comparison to placebo as an add-on to an established treatment with either amisulpride, aripiprazole, olanzapine, quetiapine or risperidone, in a 12-months, double-blind, parallel-group, randomized, placebo-controlled clinical trial. Thereby, relevant data on cannabidiol's antipsychotic potential will be gained.
To test the hypothesis that functionally navigated repetitive TMS stimulations to the prefrontal cortex (PFC) modulate aberrant cortical electrical activities at PFC circuitry. The TMS location of the PFC site will be individually localized by the symptom-related functional connectivity between PFC and symptom related areas (such as the auditory and language processing cortex). The investigators predict that such modulation will correct abnormal activities in patients with schizophrenia, reduce symptoms, especially auditory hallucination, and improve working memory/sustained attention performance.
Current medications have only a limited effect on two core symptoms of schizophrenia, negative symptoms and cognitive deficits. Minocycline is a second-generation tetracycline which has a beneficial effect in various neurological disorders. In the past years, various findings from clinical studies showed its potential role for the treatment of these symptoms of schizophrenia. The current study aims to examine the efficacy of minocycline as add-on treatment for alleviating positive, negative and cognitive symptoms in schizophrenia patients.The current study is a single center, double-blind, randomized study that assess the adjuvant therapeutic effect of minocycline vs. placebo added to antipsychotic medications, in adult patients suffering from schizophrenia. Patients will be recruited and randomly allocated to a minocycline or placebo treatment (200 mg/day) for 6 weeks of treatment. In addition, all patients will receive probiotics (450mg/day) in order to prevent any gastrointestinal influences of antibiotics administration. Positive and negative symptoms , as well as cognitive functions will be assessed before and after treatment.
Schizophrenia is a severe mental illness associated with excess mortality and affecting nearly 1% of the population. The average life expectancy for patients diagnosed with schizophrenia has been 55-60 years through the last generations in Denmark, while the general population has over the same period of time experienced an increase in life expectancy. As a result, the standardized mortality rate for patients with schizophrenia has increased markedly over the last three decades and is currently a major public health concern. Causes of death are mainly cardiovascular disease and patients diagnosed with schizophrenia has a relative risk of cardiovascular disease that is about 2-fold higher than the general population.
The investigators propose to study the brain processes that result in thought and language disorder and influence outcomes seen in patients with schizophrenia using a combination of brain scans and clinical assessments. The project will assess patients at various stages of psychosis (Clinical high risk, first episode and chronic stage >3 years of illness) referred to the Prevention and Early Intervention in Psychosis Programme using Magnetic Resonance Imaging (MRI scans). To track the outcome of this illness, investigators will follow-up patients over 3 years and collect MRI scans over four sessions for each first episode patient, and two sessions for clinical high risk patients, chronic patients, and healthy controls. Participants will also complete a clinical assessment examining symptoms and functioning as per the current clinical practice within the PEPP program at each scanning session.
The objective of AlterEgo is the creation of an interactive cognitive architecture, implementable in various artificial agents, allowing a continuous interaction with patients suffering from social disorders, by virtue of changes in behavioural (robot-based) as well as morphological (avatar-based) properties of that agent. The project includes research in fundamental and clinical neurosciences, interaction modeling, development of new computer-vision techniques and human-robot interfaces, as well as evaluation of the scenarios with patients before, during, and after training sessions. At the end of the project, the investigators will produce a new avatar-based clinical method able to enhance social interaction of patients. The first challenge of this project is to create an avatar alter ego of a patient. Based on recent work in social robotics and neurosciences, the investigators hypothesize that if patients face artificial agents morphologically and behaviourally similar to them, they will increase their social interaction. The second challenge is to transform the morphology and the behaviour of the similar artificial agent into that of a healthy and different agent. The investigators assume that the smooth and continuous behavioural shift from similar/unhealthy to complementary/healthy social behaviour will lead to a better social rehabilitation. AlterEgo opens the door to a new generation of social artificial agents in service robotics. AlterEgo is an interdisciplinary project at the interaction of Social Motor Neurosciences (UM1), Robotics (EPFL), Complex Systems Dynamics (UOB), Computer Vision (DFKI), and Psychiatry (CHU). This project includes a set of experiments that started in april 2014 and will terminate in september 2016 before undergoing a randomised clinical research.