Active clinical trials for "Depression"

QualGeP (KVALAP) is a quality register in Viken Research network for Geriatric Psychiatry. The objectives of the register are to enhance our knowledge of old persons with severe psychiatric disorders, and to secure an optimal medical evaluation, treatment and care for these patients. The data in the register will be used for quality assurance and for research. Aims: Quality assurance Further development of our diagnostic and screening tools Contributing to improving the treatment, with and without drugs Contributing to improving the dialogue and collaboration between primary healthcare and hospitals

Veterans with treatment resistant depression (TRD) have the opportunity to receive transcranial magnetic stimulation (TMS) treatment via the VA's National TMS Clinical Pilot Program. While some see improvement with their depression, others do not. Therefore, it may be beneficial to be able to predict with biomarkers what participants may see improvement with their treatment. Electroencephalography (EEG) is a means to identify such biomarkers. Four hundred Veterans with TRD will be enrolled in this trial to determine whether neuroimaging biomarkers of repetitive transcranial magnetic stimulation (TMS) can be prospectively replicated in a large ecologically valid sample. Participants will have a total of EEG scans at baseline, every 5th treatment session, and at the end of treatment for a total of 7 EEG scans.

The goal of this observational study is to explore if different and specific profiles can be identified in adults with binge eating disorder (BED) depending on their additional eating pathology, emotion regulation and executive functions. The main questions it aims to answer are: Is there different and specific subgroups of patients with BED according to baseline profiles in emotion regulation, executive function and additional eating pathology (including restriction, chaotic eating, grazing and eating on external cues)? Are subgroups of individuals with BED (based on identified profiles) associated with outcome at end of treatment and follow-up? What is the trajectories in remission rates of specific symptom dimensions (eating disorder pathology, emotion regulation, executive function, and depressive symptoms) in individuals with BED and is there specific trajectory profiles in these dimensions? Is early changes in specific symptom dimensions (eating pathology, emotion regulation, executive function, or depression) associated with outcome of BED? Participants will be asked to fill in questionnaires before treatment as usual, 10 weeks into treatment, at end of treatment and at 6- and 12-month follow-up.

The goal of this observational study focuses on understanding and addressing a subset of persistent neuropsychiatric symptoms occurring within 3 months after mild to moderate COVID-19 infection (COVID-DNP). COVID-DNP encompasses major depressive episodes (MDE) with or without additional neuropsychiatric symptoms.

Participation in endurance sports has been increasing over the last few decades and our aim of our exploratory descriptive survey study is therefore to examine mental health issues in endurance athletes (marathon runners, ultra endurance runners, triathletes), employing the IOC assessment tool, to provide information on mental health issues in this population. Secondary objects are to evaluate risk factors for mental health issues in endurance athletes (like exercise behaviour, competition behaviour, age, gender, medical issues)

Major depressive disorder (MDD) is the most common psychiatric disease worldwide with a huge socio-economic impact. Pharmacotherapy represents the first-line treatment choice; however, only about one third of patients respond to the first trial and about 30% are classified as treatment-resistant depression (TRD). TRD is associated with specific clinical features and genetic/gene expression signatures. To date, single sets of markers have shown limited power in response prediction. The aim of this project is the development of a precision medicine algorithm that would help early detection of non-responder patients, who might be more prone to later develop TRD. In this phase of the project a naturalistic cohort of 300 MDD patients will be recruited. The data collected will be used to assess, in real-world conditions, the capability of an innovative algorithm (integrating clinical, omics and gender data of other 300 patients con MDD) to predict the treatment outcomes. This project represents a proof-of-concept study. The obtained results will provide information about the feasibility and usefulness of the proposed approach, with the perspective of designing future clinical trials in which algorithms could be tested as a predictive tool to drive decision making by clinicians, enabling a better prevention and management of MDD resistance.

The Kintsugi Voice Device Pilot Study is a two arm pilot diagnostic accuracy study. Eligible enrolled participants will complete the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) instruments, as well as complete a remote video-recorded Structured Clinical Interview for the Diagnostic and Statistical Manual for Mental Disorders-5 (SCID) with a trained psychiatrist. This study seeks to evaluate the ability of the Device to aid clinical assessment for depression and anxiety by comparing its output with the established diagnostic standard consisting of a diagnosis made by a specialist clinician based on DSM-5 criteria. The order of the assessments will be randomized. Audio captured during the SCID interview will be inputted into a machine learning model to determine the diagnostic accuracy of the Kintsugi Voice Device.

The pathophysiology of Major Depression Disorder (MDD) is unclear, with several theories for its neurobiological mechanisms. One possible explanation is the presence of altered neuroplasticity, which can be studied by Transcranial Magnetic Stimulation (TMS). Using TMS to study these mechanisms is performed by applying electromagnetic stimuli to the motor cortex, to obtain measures of temporary cortical excitability modulation. It is known that depressed patients with higher cortical modulation are more responsive to a TMS treatment course. However, it is unknown if there are differences in cortical modulation between depressed patients and healthy subjects. Our goal is to answer this question and contribute towards clarification of the neuroplasticity mechanisms underlying MDD. Accordingly, the investigators will access cortical excitability modulation measures in both depressed patients and healthy volunteers and compare their results. The investigators will also re-assess these measures after 6 weeks of antidepressant treatment. Finally, the investigators will study the association between cortical excitability measures and cognitive processes using an innovative cognitive task.

The investigators will include patients suffering from Major Depressive Disorder (MDD), in episode. The patients will undertake neuropsychological tasks evaluating executive function and clinical assessment related to depressive symptoms, anxiety, transdiagnostic symptoms and psychological skills.

At present, diagnosis and recognition of depression and bipolar disorder are mainly based on subjective evidence such as clinical interview and scale evaluation. The corresponding diagnosis basis has some shortcomings, such as poor diagnostic reliability and failure in early identification of bipolar disorder. Therefore, it is of great significance to explore objective diagnostic indicators to remedy the deficiencies. Therefore，the investigators collect psychological and physiological information data of patients with bipolar disorder and depression.Then the investigators aim to construct and verify the multidimensional emotion recognition model to analyze the personality characteristics, negative emotions and cognitive reactions of different individuals, and form a systematic accurate recognition and evaluation tool.