Active clinical trials for "Depressive Disorder"

Sema, which means "to listen/hear" in lexical meaning, is a special physical activity performed in the form of rotating in different positions rhythmically with music.During the sema activity, although it is similar to dance therapy due to the cyclical movements it contains, it can also be evaluated as a physical activity. With Sema music therapy accompanied by musical melodies, it is similar to meditation, as the ties with the world are cut off and the attempt is made to reach divine love. Various studies have shown that physical activity, music therapy, dance therapy, and meditation have positive effects on depression and anxiety in the literature. However, there is no scientific study in the literature investigating the effects of Sema activity, which includes all these approaches, on depression, anxiety and physical activity. In order to support the literature in this sense, this study was planned to examine the effects of Sema activity on physical activity level, depression and anxiety. Individuals between the ages of 18-60 who are registered in Konya Mevlana Cultural Center who have been doing Sema for at least 1 year will be included in the study. Participants who agree to participate in the study will be asked to fill in the online Informed Volunteer Form, Demographic Information Form, Beck Anxiete Scale, Beck Depression Scale and International Physical Activity Scale - Short Form. The data will be analyzed statistically with SPSS version 23.0.

This study aims to collect the voice output of depression patients and healthy subjects, extract the acoustic and semantic parameters, compare the similarities and differences between the depression group and the healthy control group horizontally, and track the depression patients' changes in the rehabilitation stage to construct a voice-based early warning model of depression recurrence. At the same time, the use of EEG technology, nuclear magnetic resonance and near-infrared brain imaging technology to record and analyze the neural activity characteristics behind the voice variation of depression patients, and build a neural mechanism model. And construct the facial recognition function through the convolutional neural network, extract the facial parameters to enrich the intelligent monitoring and early warning technology. Collect linguistic data of depression patients and healthy people collected in the laboratory, as well as data related to changes in the condition of depression patients in daily life and home care after treatment, and construct comparative data and dynamic observations Large database to analyze its voice mutation characteristics; Using EEG technology, nuclear magnetic resonance, and near-infrared brain imaging to record and analyze the neural activity characteristics behind the voice variation of depression patients, and build a neural mechanism model. Use the convolutional neural network to realize the facial recognition function, and extract the facial parameters to enrich the monitoring indicators. Based on the dynamic observation big data of depression speech mutation, construct the speech feature parameter vector of depression recurrence, and use adaptive personalized intelligent learning algorithm to develop intelligent monitoring and early warning technology. Establish monitoring and diagnostic indicators for recurrence early warning, verify the application of the above-mentioned intelligent monitoring and early warning technology in rehabilitation guidance, and make a comprehensive assessment.

The aim of this study is to do an evaluation of the clinical profile of depression in HCV patients (newly diagnosed and treatment naïve), and in these same individuals, 24 weeks after the beginning of IFN+Ribavirin therapeutics (n=100). To characterize depression associated to HCV with and without interferon (IFN), the investigators will use clinical, behavioral, biochemical and genetic markers, and to distinguish their different symptomatologic dimensions. The control group will be composed by 100 individuals with Major Depression diagnosis, and not from the general population, because the investigators are not trying to study the incidence of depression in general population, but to characterize the clinical profile of patients with HCV (IFN+Ribavirin) compared to major depression. Thus, the investigators will total 300 evaluations in 200 individuals, 100 from each group, and considering that the clinical group will be evaluated before the therapeutics and re-evaluated 24 weeks after its beginning. Hypotheses Depression in individuals affected by HCV is associated to genetic vulnerability. Genetic vulnerability increases the risk of depression when IFN therapeutics is used. Depression associated to infection by HCV presents a symptomatological profile that is different from general depression, which is maintained with IFN therapeutics. A higher state of depression in the beginning of a treatment, if not treated, is a risk factor to abandoning therapeutics. When comparing genders, women present a more severe symptomatological profile than men.

The purpose of the study is to identify the barriers for effective treatment of depression, specifically whether modified CHIS Scale is a valid tool for identifying the high risk patients for depression.

This study focuses on possible mechanism mediating duloxetine effects on painful physical symptoms in patients suffering from MDD. Our hypothesis is based on the assump¬tion of dual impairment of the somatosensory system in these patients. Hypalgesia to phasic experimental pain may be due to diminished spinal and brainstem transmission. Hyperalgesia may be at¬tributed to increased interoceptive perception (somatic complaints, especially those consist¬ing in pain) due to sensitisation or lack of inhibition of the interceptive perception. These ef¬fects seem to be mediated by specific brain regions (e.g. the right insula). The investigators intent to test if duloxetine effects on these somatic complaints, especially pain complaints are due to a nor¬malization of these interceptive alterations which have been reported to be associated with depressive symptoms. The investigators hypothesize that treatment with duloxetine will normalize "patho¬logical" activation patterns (as assessed by fMRI) associated with increased interoceptive perception.

Background : Depression and Anxiety are linked to COVID (Coronavirus Disease)-19 long-term impact through several mechanisms. The possible way is the alteration of neurotransmitter regulation from the interaction of severe acute respiratory syndrome -Coronavirus-2 (SARS-COV2) with Angiotensin-Converting Enzyme 2 (ACE2) receptor, and Dopa Decarboxylase (DDC), an enzyme that associated with the production of dopamine, serotonin, and other neurotransmitters. However, some arguments exist that depression and anxiety occur naturally due to external stressors, as the impact of public health measures, and not associated with physiological changes due to viral infection. Objective: This study aims to identify whether the patient discharged after COVID 19 treatment has significant changes in serotonin and dopamine level which might induce depression and anxiety internally and, To distinguish external etiologies that might induce depression and anxiety such as social isolation and stress due to public health restriction. Method: A prospective longitudinal study of people with the interest exposure is COVID 19 and the primary outcome is Depression, Anxiety, and Neurotransmitter level Hypothesis: People with a previous infection of COVID 19 have a significant difference in neurotransmitter level over time and compared to non exposed group and a higher prevalence of anxiety and depression.

According to the survey of the World Health Organization, the number of patients with depression in the world has reached 350 million, has becoming the primary cause of disability and the main disease burden worldwide. In order to better dealing with adverse reactions, improving the doctor-patient relationship and optimizing the treatment cost, FIBSER, STAR-P and HEA Health Economics Follow-up Evaluation Scale are selected as simple and quick evaluation scales to evaluate the influence, doctor-patient relationship and social and economic benefits after drug treatment in clinical treatment. At present, the reliability and validity of FIBSER, STAR-P and HEA scales will be verified the reliability and validity of the above three scales in depressive disorder, aiming at enriching the treatment of depressive patients based on assessment, thus improving the compliance of medication for depressive disorder, improving the doctor-patient relationship and reducing the total burden of social diseases.

In fact theWorld Health Organization estimates that 2-3% in general populations of countries across the world tend to be affected by severe mental disorders (1) Thrombolytic therapy seems to be of great importance in achieving better quality of life in ischemic stroke patients who respond to this therapy(rTPA).

The associations between dietary choline, genetics and anxiety/depression

Background: MDD is a common mental disorder with significant morbidities and mortalities. Recent local data suggested that depressive disorders have a prevalence of over 12% in females and nearly 7 % in males in Hong Kong general adult population. Other than insomnia, patients with MDD often complained another sleep symptom - hypersomnia (defined as daytime sleepiness or excessive sleep). Interestingly, when compared to insomnia, there is much far less research on the role of hypersomnia in MDD. However, there are available data suggested that hypersomnia is associated with greater treatment-resistance, more recurrence, and increased suicidality, suggesting a need to investigate this problem in MDD patients. Objective: To investigate the prevalence and determine characteristics of hypersomnia amongst major depressive disorder. Design: 2-phase study design Setting: A case-control study Participants: Patients with a history of Major Depressive Disorder from out-patient clinics in New Territories East Cluster. Main outcome measures: Daytime sleepiness measured by MSLT, actigraphy and self-reported questionnaire (ESS), sleep duration as measured by sleep diary and actigraphy.