Active clinical trials for "Depressive Disorder, Major"

Objective: Wearable technology holds promising potential for mental health monitoring and detection. Samsung has developed an algorithm that they believe can detect signs of depression and anxiety in smartwatch users. They have used this algorithm to create a "Mindfulness Index," which is an easily understood visual index of mental health. The primary aim of the study is to evaluate the performance of Samsung's Mindfulness Index in identifying those who have received a diagnosis of Major Depressive Disorder (MDD) from a clinician-administered semi-structured diagnostic interview. Research Procedures: The target sample size is 75 individuals diagnosed with current Major Depressive Disorder and 75 healthy controls. To meet this target, the recruitment target is set at 215 participants. Participants will be assigned to the MDD condition, or the healthy control condition based on their score on the Beck Depression Inventory. Each subject will be followed for 3 months. Participants will be provided with a Samsung smartphone and Samsung smartwatch. Participants will be asked to wear the smartwatch 24 hours per day, except while charging. This smartwatch will collect data on heartrate, sleep time, and step count. During the study, each day participants will receive texts prompting a link to a "daily diary." These surveys will ask about depression and anxiety symptoms. Additionally, during the first 3 weeks of the study, participants will participate in ecological momentary assessment; texts will be sent 5 times per day prompting participants to fill out a survey about how they currently feel in that moment. These extra surveys will stop after the first 3 weeks of the study, but the daily diary surveys will continue throughout the study. Furthermore, virtual clinician visits will occur at weeks 4, 8, and 12.

The investigators propose a test of causality by examining a cohort of patients undergoing deep brain stimulation (DBS) within the ventral striatum. The investigators will examine behavior on and off stimulation across a range of tasks that index different forms of impulsivity. Patients will be studied in both the ON and OFF state - that is, they will be tested during active deep brain stimulation and 30 min to 1 hour after stimulation has been stopped (order of state will be counterbalanced across subjects). The investigators specific aim is to test the hypothesis that enhancing ventral striatal signaling (i.e. ON-state DBS) will cause more impulsive patterns of behavior across several impulsivity tasks. The investigators predict that ventral striatal DBS will increase stop-signal reaction time on the stop-signal task and commission errors on the Go/NoGo task, and increase delay aversion in a delay discounting paradigm.

The objective of this study is to collect data to finalize the development of MEB-001 softward as a medical device. The data collected in this study will be used to develop MEB-001 machine learning algorithms by training the algorithms to match the patient's demographic and clinical information, and the objective physiological signals (i.e., electroencephalogram (EEG) and electrocardiogram (ECG)) recorded during PSG with the diagnosis of cMDE performed through the MINI neuropsychiatric evaluation.

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.

This research study is designed to look at the involvement of the glutamate system and synaptic density in depression and bipolar disorder. Each participant will undergo a screening appointment to determine study eligibility. Thereafter, the study will take 2 or 3 visits depending on schedule availability and will consist of a combination of one magnetic resonance imaging (MRI) or functional magnetic resonance imaging (fMRI) scan, one proton magnetic resonance spectroscopy (MRS) and/or one C13 MRS scans, and up to two positron emission tomography (PET) scans. Participants will also participate in cognitive testing. Depending on camera time, staff availability and subject schedule, total study participation may last 1-2 months.

TRIAGE-Psych is a survey study designed to assess potential participants' eligibility to screen for industry-sponsored psychiatry clinical trials.

Evidence suggests that mGLUR5 availability may play a key role in the biology of mood disorders. This study aimed to investigate the changes in metabotropic glutamate receptor 5 (mGLUR5) availability and clinical symptoms in patients with MDD and bipolar disorder(BD) after two months of vortioxetine treatment. The investigators hypothesized that patients with MDD and BP have abnormal mGluR5 availability in certain brain regions, and baseline mGLUR5 availability can predict prognosis the prognosis of MDD and BD. fMRI and NODDI are also used to evaluate the function or neurite condition at baseline and 8 week

This experiment intends to explore the differences among various types of depression, as well as the differences between healthy subjects and depressed patients, and find possible biological markers from the severity of symptoms, social function and cognitive function of depressed patients, combined with EEG characteristics, biological test indicators (blood, faeces, hair, etc.) and functional magnetic resonance imaging data. To explore the changes in clinical symptoms, cognitive and social functions, and biological indicators of various types of patients before and after treatment, to provide references for the prognosis of various types, and to predict the future development of the disease according to the baseline indicators of patients; According to the above aspects, this experiment can follow up the patients with depression, track their disease development, and study the potential biological changes in the early stage of the disease, which has the potential to reveal the pathogenesis and provide guidance for the early diagnosis and intervention of depression.

Suicide accounts for at least 1 million deaths globally each year. This is likely a significant underestimate, because suicide is under-reported in many countries. In the US, over 42,000 people die from suicide annually. Despite increased focus on identification and treatment, the rate of suicide has increased steadily over the past 15 years. Our project aims both to improve our understanding of factors that increase the risk for suicide by comparing blood biomarkers associated with inflammation in patients with depression without suicidal behavior and patients with depression and suicidal behavior. The 160 individuals in this study will be followed with psychiatric assessments and blood samples at repeated time points over one year.

Since capability for suicide involves overriding potential pain, and the opioid system plays a strong role in controlling pain perception, it follows that capability for suicide may be impacted by the opioid system. The goal of the proposed research is to identify the neural network underlying capability for suicide in order to determine if it can be a target for identifying high-risk individuals and for intervention.