Active clinical trials for "Depressive Disorder"

This nationwide study will create a DNA collection to permit qualified scientists to search for depression-related genes. More than 750 families with at least two siblings who have experienced major depression are needed for the study. Participants will be interviewed about psychiatric and family history, and will be asked to provide a small blood specimen. The identification of predisposing genes can lead to greater understanding of the brain mechanisms involved in severe depression which can in turn lead to the discovery of new treatments. A Certificate of Confidentiality from the federal government ensures that all information will be strictly confidential. Blood specimens are identified only by code number (not by name). Reimbursement is provided.

This study will explore the dynamic interaction between mental resilience, anxiety and depression in elderly patients with gastric cancer 1 year after surgery, in order to better understand the role of these two factors in patients' mental health, and provide accurate insights for clinical practice and targeted psychological support strategies.

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.

There is some cognitive impairment in patients with bipolar depression. THINC-it is a simple, fast and free cognitive assessment tool. It has good reliability and validity in patients with depression, but its application in patients with bipolar depression is not clear. The purpose of this study is to verify the reliability and validity of THINC-it cognitive test in bipolar depression, and to further explore the difference of cognitive impairment between attack and remission of bipolar depression, so as to provide empirical research basis for clinical evaluation-based treatment.

It is aimed to investigate the depression and quality of life of Turkish society caused by Covid-19 pandemic and reveal the relationship between them

This study aims to identify the preference of the class modalities (classroom or online) in undergraduate and graduate students. Additionally, to explore if the presence of any mental state alterations such as depression or anxiety due to the COVID-19 pandemic can alter their perception of academic performance.

The recent development of acute phase treatments has dramatically improved stroke functional outcome but post-stroke neuropsychiatric disorders, notably post-stroke depression, continue to contribute to the heavy burden of stroke. While these conditions affect about 25% of stroke patients at 3 months, they are under-reported spontaneously by patients and are under-evaluated and treated by clinicians. Other than stroke severity and psychiatric history, risk factors for post-stroke depression remain a matter of debate, thus preventing identification of high-risk patients. Moreover, to date, neither pharmacological nor nonpharmacological treatments have demonstrated a significant benefit in the prevention of this disorder, thereby also impeding the development of early treatment strategies. Yet,the early management of post-stroke depression is critical given its negative influence on long-term functional outcomes, medication adherence, efficient use of rehabilitation services and the risk of stroke recurrence or vascular events. There is a pressing need to develop new tools allowing for the early detection of post-stroke neuropsychiatric complications for each individual patient. The rapid expansion of ambulatory monitoring techniques, such as Ecological Momentary Assessment (EMA), allows daily evaluations of mood symptoms in real time and in the natural contexts of daily life. The investigators have previously validated the feasibility and validity of EMA to assess daily life emotional symptoms after stroke, demonstrating its utility to investigate their evolution during the 3 months following stroke and to identify early predictors of post-stroke depression such as stress reactivity and social support, suggesting that EMA could be used in the early personalized care management of these neuropsychiatric complications. Recently, preliminary data have also emphasized the potential of EMA interventions to improve the outcome of psychiatric disorders.

The aim of the present observational study is to assess the clinical response, functional impairment and quality of life in outpatients with Major Depressive Disorder who demonstrated an initial positive response to the acute treatment with Trazodone once-a-day monotherapy, for up to 24 weeks.

The objective of this project is to determine the concordance between the subjective and objective evaluation of cognitive functions in affective patients in partial remission through scales and cognitive tests that would be easily implemented in the different mental health care devices. This is a cross-sectional case-control study of non-probabilistic sampling, which will include a group of patients diagnosed with Major Depressive Disorder and Bipolar Disorder and a group of healthy controls from the same population and matched by age, gender and years of education with the group of patients. Patients will be recruited from the psychiatric service of the Hospital de la Santa Creu i Sant Pau who meet the inclusion criteria, and they will undergo a blood draw, a clinical assessment, a complete neuropsychological examination together with scales of subjective perception of cognitive deficit, a measure of cognitive reserve and an evaluation of psychosocial functionality. In addition, the same evaluation will be made to a group of healthy subjects.The total sample will be 120

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.