View clinical trials related to Psychotic Disorders.
Filter by:The aims of this project is to use an artificial intelligence (AI) smartphone app to provide support for medication adherence by patients with first episode psychosis.
This application proposes OnTrackNY as a regional scientific hub for the Early Psychosis Intervention Network (EPINET) program as part of the National Institute of Mental Health (NIMH)'s creation of a national learning health care system (LHS) for early psychosis care. OnTrackNY has grown into a 22-site network, under the leadership of Lisa Dixon, MD, MPH. Created and supported by the New York State's Office of Mental Health (OMH), OnTrackNY is a nationally recognized model providing coordinated specialty care (CSC) for adolescents and young adults within two years of the onset of non-affective psychosis. OMH regulates and licenses all mental health programs in New York and is a direct-services provider via state-operated programs statewide. This makes OMH an ideal partner for establishing a statewide learning health care system for early psychosis care. Further, OnTrackNY's administration, OnTrackCentral, operates within the OMH-supported Center for Practice Innovations at Columbia Psychiatry. In this model, OnTrackCentral serves as the hub and the 22 OnTrackNY programs serve as the spokes. Since 2014, the still-growing OnTrackNY network has served over 1,600 individuals. From its inception, OnTrackNY has aimed to deliver high-quality, data-driven, accountable and culturally competent care consistent with an LHS. As a condition of funding, all OnTrackNY providers follow established protocols that require submission of patient- and site-level standard measures of early psychosis clinical features, services, and treatment outcomes. The proposed EPINET regional hub, the OnTrackNY LHS, will emphasize and enhance two critical foundational components - Aim 1: proactively engage stakeholders to optimize understanding of key problems and their solutions at every LHS phase; and Aim 2: develop data systems with enhanced standardized data collection, including post-discharge data and linkages to external data systems, and enhancing data analytics that will allow for client-level treatment planning and prospective analytics, delivering real time, dynamic and actionable information to stakeholders. These LHS components do not follow in a stepwise sequence but instead operate in parallel and interact to facilitate and enhance quality improvement processes. This backbone will support the development of practice-based research.
Kynurenic acid (KYNA) is a naturally occurring chemical in the brain. Studies with rodents indicate that levels of KYNA can impact levels of the neurotransmitters glutamate and dopamine. One way to reliably increase KYNA levels is by ingesting the amino acid tryptophan. Tryptophan is a normal part of the human diet. Tryptophan gets metabolized/changed to other chemicals in the body- including KYNA. By giving people 6 grams of tryptophan, the investigators will be able to increase the KYNA level in a controlled way. The investigators will then be able to study the effects of KYNA on neurotransmitters by using cognitive tests and magnetic resonance imaging techniques (measuring brain activity and brain chemistry using the MRI magnet). The overall goal of the study is to examine how the medication N-acetylcysteine (NAC), when added to tryptophan, affects various cognitive functions, such as verbal and visual memory. The investigators will also use magnetic resonance imaging (MRI) to examine how NAC affects brain activity and chemicals.
The current study will improve knowledge on the effectiveness and safety of the use of antipsychotics at the prodromal phase and on factors influencing the outcome, and will eventually facilitate optimisation of individualised interventions for psychosis prevention and treatment.
Social impairments are core features of schizophrenia that lead to poor outcome. Social skills and competence improve quality of life and protect against stress-related exacerbation of symptoms, while supporting resilience, interpersonal interactions, and social affiliation. To improve outcome, it is necessary to remediate social deficits. Existing psychosocial interventions are moderately effective but the effort-intensive nature (high burden), low adherence, and weak transfer of skills to everyday life present significant hurdles toward recovery. Thus, there is a dire need to develop effective, engaging and low-burden social interventions for people with schizophrenia that will result in better compliance rates and functional outcome. In a previous pilot study, the investigators tested the effectiveness of a novel adaptive virtual reality (VR) intervention in improving targeted social cognitive function (social attention, as indexed by eye scanning patterns) in individuals with schizophrenia. 10 sessions of 1-hour VR intervention were sufficient to engage the target mechanism of social attention and improve negative symptoms. Acceptability and compliance were very high among the participants. ' The next phase, supported by a R33 grant will compare the VR social skills training with a control condition. This new protocol includes a control condition for the exposure to computerized training across the 10 sessions and incidental exposure to social interactions (i.e. interactions with experimenters twice a week for 5 weeks) by including a control condition, which involves computerized brain fitness training for 10 sessions.
Maintaining treatment engagement is critical for first episode psychosis patients to experience gains possible with coordinated specialty care (CSC). This study is designed to identify CSC participants still receiving care but at high risk for disengagement and to intervene to prevent/delay disengagement.
The purpose of this study is to better understand mental illness and will test the hypotheses that while viewing affective stimuli, patient groups will show increased blood oxygenation level dependent (BOLD) signal by fMRI after lorazepam. This study will enroll participants between the ages of 16 and 60, who have a psychotic illness (such as psychosis which includes conditions like schizophrenia, schizoaffective disorder, and mood disorders). The study will also enroll eligible participants without any psychiatric illness, to compare their brains. The study will require participants to have 3-4 sessions over a few weeks. The initial assessments (may be over two visits) will include a diagnostic interview and several questionnaires (qols) to assess eligibility. Subsequently, there will will be two separate functional magnetic resonance imaging (fMRI) sessions in which lorazepam or placebo will be given prior to the MRI. During the fMRI the participants will also be asked to answer questions. Additionally, the participants will have their blood drawn, women of child bearing potential will have a urine pregnancy test, vital signs taken, and asked to complete more qols.
Background: Negative symptoms are typically observed in people with schizophrenia and indicate a loss or reduction of a normal function (e.g. reduced motivation and affect display). Despite being important predictors of people's recovery the development of interventions for negative symptoms received only very limited attention. There are currently no evidenced based therapies for these symptoms. Aims: To test the feasibility and acceptability of a novel virtual reality assisted therapy, called Virtual Reality Supported Therapy for the Negative Symptoms of Psychosis (V-NeST). Methods: This is a single (rater) blind randomised study with two conditions; V-NeST plus treatment-as-usual (TAU) vs. TAU alone. The study will recruit people with psychosis from NHS community care teams (in England). Assessments will be at baseline and 3-month post-randomisation. A nested qualitative study to identify the key themes associated with the acceptability of the overall study and intervention will be conducted. The study will assess key feasibility parameters such as: consent and availability for screening; eligibility; availability for assessment, randomisation and treatment retention. Acceptability will be assessed by considering: therapy session attendance and drop-out; in-depth feedback from service users interviews; acceptability of the research procedures and measures. Participants will be assessed with measures of functioning levels and, negative symptoms . Analyses will evaluate the feasibility and analyses of clinical outcomes will be focused on descriptive statistics and confidence intervals for treatment effects. Population variances of the main outcomes will be estimated for future power calculations. A semi-structured interview will explore participants' experience of being recruited to the study, receiving V-NeST and identify barriers (and potential solutions) to treatment engagement.
The aim of this study is to evaluate a new SV2A tracer, [11C]APP311, in healthy aging and neuropsychiatric disorders including psychotic disorders and cannabis use disorders.
BeCOME intends to include at least 1000 individuals with a broad spectrum of affective, anxiety and stress-related mental disorders as well as 500 individuals unaffected by mental disorders. After a screening visit, all participants undergo in-depth phenotyping procedures and omics assessments on two consecutive days. Several validated paradigms (e.g., fear conditioning, reward anticipation, imaging stress test) are applied to stimulate a response in a basic system of human functioning (e.g., acute threat response, reward processing, stress response) that plays a key role in the development of affective, anxiety and stress-related mental disorders. The response to this stimulation is then read out across multiple levels. Assessments comprise omics, physiological, neuroimaging, neurocognitive, psychophysiological and psychometric measurements. The multilevel information collected in BeCOME will be used to identify data-driven biologically-informed categories of mental disorders using cluster analytical techniques. A subgroup of affected individuals (patients of the outpatients clinic of the Max Planck Institute of Psychiatry) are longitudinally observed regarding the stability of omics markers, vital parameters and symptom severity.