Active clinical trials for "Depressive Disorder"

The objective of this study is to collect data to improve the sensitivity and specificity of Kintsugi Voice's (formerly KiVATM) predictions on audio files. A web-based audio recording tool will be used to record voice sample and ask participants the PHQ-9 and GAD-7 questions. A voluntary subset of participants will then be assessed by mental health professionals with the Hamilton Depression Rating Scale (HAM-D) and Hamilton Anxiety Rating Scale (HAM-A) scores.

In recent years damage to the nerve fibers in the retina has been experienced as an early sign of complications resulting from type 2 diabetes. In addition, it has been presented that people with type 2 diabetes are at increased risk of developing brain diseases, such as mild memory impairment and Alzheimer's disease, as well as mental illness in the form of depression. The eye corresponds to be a protruding part of the brain which means the brain and the eye share common features. Currently it is time and cost consuming to asses changes in the brain, but recent research has shown that patient friendly eye examinations can detect nerve loss brain diseases. Recent studies have shown that depression can also have a physiological component, which can be measured by changes in structures in the retina of the eye. In this research project, we will conduct a clinical study, to assess whether there is an association between changes in the retina of the eye (e.g. vascular structure, retinal thickness and oxygen saturation) and mild memory impairment and depression respectively in people with type 2 diabetes. The clinical study will help to clarify the possibility of including patient-friendly eye examinations in the assessment of minimal memory impairment and depression in patients with type 2 diabetes. 200 people with type 2 diabetes will be invited to participate in a clinical cross-sectional study. The Funen Diabetes Database will be used as recruitment tool. Participants will undergo a thorough eye examination as well as neuropsychological examinations for signs of mild memory impairment. They will also complete questionnaires regarding depressive symptoms. Overall, the research project will help to create awareness in this area among both healthcare professionals and patients. Early risk detection could mean better diabetes care and fewer complications, which will have a major impact on quality of life and contribute to socio-economic gains. Any findings may contribute to the discussion of individualized screening and treatment if some individuals within this group are at increased risk of developing memory impairment or depression.

The primary objective of this study is to collect insights from first responders and military personnel on their need for, use of, and interest in physical and/or mental health medical marijuana or psychedelic-assisted therapy programs. These preliminary data will help to inform and guide the development of a larger patient-oriented study and the design of a clinical program geared towards enhancing therapy treatments for first responders and military personnel.

The primary objective of the study is to evaluate the feasibility of eliciting continuous narrative speech in different neurodegenerative and psychiatric indications, using remote, self-administered speech tasks, as measured by the average length of speech elicitation for each speech task during the first week of self-assessment. Secondary objectives include (1) evaluating the reliability of speech tasks in the remote self-administered setting, as measured by the intra- and inter-subject variance; (2) accessing the adherence of speech tasks in this setting, as measured by the subject average fraction of days during the first week, where at least one task response is submitted; (3) evaluating the feasibility of using speech tasks in the setting of a telemedicine videoconference, as measured by the average length of speech elicited in each group; (4) evaluate whether a set of acoustic and linguistic patterns can detect each indication, compare to either a control group or all other indications, as measured by the area under the receiver operating characteristic curve (AUC), sensitivity, specificity and Cohen's kappa of the relevant binary classifier; (5) evaluating how the performance of such algorithms can be impacted by speaker and environment covariates, as measured by the Kendall rank correlation coefficient of the AUC of each classifier and each of age group, gender and speech-to-reverberation modulation energy ratio.

Chronic pancreatitis (CP) is associated with recurrent intractable abdominal pain, pancreatic exocrine insufficiency and endocrine dysfunction. Very few studies had evaluated the quality of life in CP, and even a fewer have assessed the mental status in these patients. In the current study, we proposed to evaluate the the relationship between pain, quality of life and depression status in two large independent cohorts of patients with CP. We also proposed to evaluate the brain metabolites in the right and left anterior cingulate cortex, basal ganglia, hippocampus and prefrontal cortex using magnetic resonance spectroscopy. We further proposed to evaluate the pasta metabolites and look for associations with the mental state. Finally, we proposed to evaluate how CP related education of the patients could impact on their mental status and response to interventions on pain.

Antidepressants are widely used to prevent suicidal risk. However, even though the use of antidepressants has been associated with a 40-60% decrease in suicidal risk, they do not seem to be sufficient and appropriate. Indeed recent studies have shown that patients with a history of suicide attempt and/or with current suicidal ideation (SI) respond less well to antidepressant treatments. This suggests that patients with depression with SI may be different from those with depression without SI, thus requiring specific treatments for both SI reduction and depressive remission. In other words, suicidal depression may be a specific subtype of depression. The study aims to characterize the clinical phenotype of patients with suicidal depression vs. those without suicidal depression, and to assess the occurrence of suicidal events at one year in patients with suicidal depression vs. without suicidal depression. All data having already been collected during the particpation of patients in various clinical research studies of the department

To be aware of oneself as a unique entity in the world occurs early in human development and is the prerequisite of normal social functioning. The disturbance of self representation characterizes a variety of mental disorders such as autism and schizophrenia. Negative self-bias was found to serve as the core cognitive mechanism of depression disorder. However, there was no evidence to show the reason lead to negative bias. In the current study, investigators hypothesized that the blurring self representation was the neural correlates in depression disorder.

This study investigates stress-related signaling of glutamate and dopamine within the reward-processing circuit in Major Depressive Disorder (MDD), and whether they can be used to predict depressive symptoms in the future. This will be achieved through various neuroimaging tools (MRS, fMRI, PET), behavioral tasks, and a naturalistic follow-up design.

Demonstrate that the IPREA3 program (Study: Impact of Multicomponent Intervention to Reduce Perceived Discomforts of the patients in intensive care) reducing discomforts perceived by the patients of intensive care, implemented at the level of the whole intensive care unit, reduce the incidence of the depressive symptoms one year after intensive care exit.

The primary study aims are to determine the clinical, behavioural and social predictors of SMI development in youth, and to investigate whether neuroimaging can distinguish youth who will develop SMI from those who will not. The study's secondary aims are to examine the proportions of the cohort that make transitions between the different clinical stages of risk, and to determine the proportions that have poor outcomes, defined as ongoing or increased symptoms, secondary substance misuse, poor social or role functioning, i.e., non-participation in education, or employment, and new self-harm. Investigators will study a cohort of 240 youth (aged 14-25, male and female) that includes youth with early mood symptoms or sub-threshold psychotic symptoms (symptomatic group; n=160), youth at risk due to a family history of a SMI (family high risk (FHR); n=40), and healthy controls (HC; n=40). From this cohort, clinical, social and cognitive data, as well as imaging data will be gathered to create a multi-layered "snapshot" of these individuals and provide full-level characterization. Investigators will use the full range of clinical and imaging data generated from this cohort to develop novel prediction algorithms incorporating key variables that predict the development of SMI.