Zyprexa® Relprevv™ Patient Care Program
SchizophreniaThe goal of the Zyprexa Relprevv Patient Care Program is to mitigate the risk of negative outcomes associated with Zyprexa Relprevv post-injection delirium/sedation syndrome (PDSS).
Clinical Intervention on Cognitive Impairment of Schizophrenia With Metabolic Syndrome
SchizophreniaThis is a single-center, randomized, parallel-control study conducted in schizophrenic inpatients with metabolic syndrome who have been conducted with olanzapine. The purpose of this study is to evaluate the efficacy and safety of omega-3 polyunsaturated fatty acids, Xbox aerobic exercise and transcranial direct current stimulation( tDCS). Following a screening period, subjects who meet the entry criteria will be randomized to treated with omega-3 polyunsaturated fatty acids1.2mg per day, Xbox aerobic exercise 30min per day and tDCS at 2mA, 20 min(5 session/week) for 12 weeks.
Evaluation of Step-Based Care for Individuals at Clinical High Risk for Psychosis
Prodromal SchizophreniaThe Ohio State University Early Psychosis Intervention Center is implementing a specialized clinical program to serve individuals who meet clinical high risk criteria for a psychosis. The purpose of this study is to evaluate the long-term outcomes among individuals participating in this clinical service.
The Safety and Effectiveness of Latuda® Post-marketing Surveillance in the Treatment of Chinese...
SchizophreniaIt's a prospective, non-interventional, observational Post-marketing Surveillance..
Time Prediction and Cerebellum: Magnetic Transcranial Stimulation (TMS) in Healthy Volunteers
SchizophreniaThe aim of the study is to check the role of the cerebellum in time prediction in healthy volunteers, by means of magnetic transcranial stimulation targeted on the cerebellum, and recording of behavioural measures indexing time prediction
Semantic and Syntactic Computerized Analysis of Free Speech
Psychotic DisordersPsychosis4 moreSubtle speech disorganization could be predictive of a transition to schizophrenia of ultra-high-risk patients. The aim of our longitudinal multicenter cohort study is to identify specific linguistic markers of the psychotic transition to validate a french predictive model of this transition using computerized speech analysis techniques
Magnetic Resonance Imaging (MRI) of Neuropsychiatric Patients and Healthy Volunteers
SchizophreniaNormal PhysiologyThe purpose of this study is to use brain imaging technology to compare differences in brain structure, chemistry, and functioning in individuals with brain and mental disorders compared to healthy volunteers. Schizophrenia is a brain disorder that results from subtle changes and abnormalities in neurons. These deficits likely occur in localized regions of the brain and may result in widespread, devastating consequences. The neuronal abnormalities are inherited through a complex combination of genetic and environmental factors. Brain imaging technologies can be used to better characterize brain changes in individuals with schizophrenia. This study will use magnetic resonance imaging (MRI) scans to identify predictable, quantifiable abnormalities in neurophysiology, neurochemistry and neuroanatomy that characterize schizophrenia and other neurological and neuropsychiatric disorders.
A Single-Site Tissue Repository Providing Annotated Biospecimens for Approved Investigator-directed...
Age-Related Macular DegenerationAllergies45 moreTo collect, preserve, and/or distribute annotated biospecimens and associated medical data to institutionally approved, investigator-directed biomedical research to discover and develop new treatments, diagnostics, and preventative methods for specific and complex conditions.
Service User and Staff Views on Digital Remote Monitoring for Psychosis
PsychosisSchizophrenia1 morePsychosis is a severe mental health problem. Symptoms of psychosis include hallucinations (e.g. hearing voices that others cannot hear) and delusions (unusual, often troubling beliefs). People who experience psychosis often have times when their symptoms are relatively stable. At other times, their symptoms may increase and become much more problematic (a 'relapse'). Helping people with psychosis to stay well (preventing relapses) is an important and time-consuming challenge for mental health services. Smartphones and other digital technologies are now widespread. This offers a solution to help tackle the overwhelming demand on services and to enable people with psychosis to access mental health support when they need it most (e.g. when relapsing). Research shows that people with psychosis are often willing to report their symptoms using a smartphone app. Apps like this can alert health professionals when someone needs extra support, but can be burdensome to use long-term. The investigators want to make a system that is less burdensome and is personalised to users' needs and experiences (a 'complex digital remote monitoring system'). Recent research shows that information gathered routinely by individuals' smartphones (e.g. GPS, step count) might help predict relapses of psychosis. The investigators want to use this method in a complex digital remote monitoring system. First, the investigators need to know what people with psychosis and mental health staff think about this idea. The investigators will interview around sixty adults with psychosis and around forty staff, recruited from UK mental health services (Manchester, Glasgow, Edinburgh, Cardiff, London, Sussex). These one-off, audio-recorded interviews will last up to 60 minutes. The interviewer will ask about participants' views on complex digital remote monitoring. The investigators will then systematically analyse the interviews. Findings will inform the design of the investigators' own complex digital remote monitoring system and future digital tools designed by other researchers. NIHR and Wellcome are funding this study.
Neurophysiologic Biomarkers for Cognitive Rehabilitation
Schizophrenia Spectrum DisordersCognitive symptoms of schizophrenia interfere with daily life-from managing self-care, to more complex tasks like taking medications and living independently. Unfortunately, these cognitive symptoms are not corrected by 'standard of care' treatments (antipsychotic medications), although some schizophrenia patients may experience modest clinical and cognitive benefits from cognitive remediation. To enhance the clinical impact of cognitive remediation and other rehabilitative interventions for Veterans living with chronic psychosis, this study will develop novel brain-based tools to help identify those Veterans who are most likely to benefit from pro-cognitive therapies. These studies may advance predictive algorithms that improve functional outcomes and life quality in Veterans with schizophrenia.