Found 1,281 clinical trials
Predictors of Relapse in Major Depressive Disorder
Major depressive disorder (MDD) is a common condition involving recurring periods of depression. One of the major challenges faced by people with MDD is that the episodes of depression tend to recur even after they are successfully treated. Currently, it is hard to predict when a depressive episode will recur. …
Body Awareness in People With Depressive Disorder
Body awareness plays a crucial role in health and well-being. However, too little research has been carried out on how it manifests in individuals with depressive disorders. The Awareness Body Chart (ABC), a tool developed in recent years to assess body awareness, may provide new insights into the physical experience …
Metabolic Profiling of Esketamine Treatment in Depressive Disorder
Major depressive disorder (MDD) is one of the most common psychiatric disorders, characterized by extremely high prevalence, relapse rate and therapeutic resistance. Treatment with ketamine and its enantiomer esketamine is the next step towards the successful treatment and understanding of depression that is resistant to treatment with standard antidepressants. The …
Predictors and Process Moderators of EMDR Therapy for Depressive Symptoms
The goal of this clinical trial is to evaluate which factors influence the effectiveness of Eye Movement Desensitization and Reprocessing (EMDR) therapy for depressive symptoms in real-world settings in Italy. The main questions the study seeks to answer are: Which key factors influence EMDR outcomes in terms of mediators, moderators, …
In Vivo Cortical Excitability Modulation in Major Depressive Disorder
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, …
Validation of EmoDTx as a Digital Endpoint for Mood Monitoring in Adult Patients Suffering From Unipolar Depression
The aim of this study is to validate the EmoDTx as a digital tool for mood monitoring in adult patients with unipolar depression. The study is prospective, multicenter, and observational, with a single-arm approach. The device studied, EmoDTx, is a mood-monitoring application that analyzes patients' facial expressions to assess their …
Beyond Monoamines: The Role of the Nociceptin/Orphanin FQ Receptor in Major Depression
This study looks at the role of the Nociceptin/Orphanin FQ receptor system in the brain of individuals with current or past major depressive disorder (MDD). It also examines how individuals with a history of depression make certain decisions and which brain regions are involved in such decisions. Information collected through …
Emotional Cognition: Establishing Constructs and Neural-Behavioral Mechanisms in Older Adults with Depression
This is a cross-sectional pilot study designed to establish hot and cold cognitive functions and underlying neurocircuitry in older adults with MDD. The investigators will study 120 participants aged 21-80 years old with MDD. All participants will undergo clinical and neurocognitive assessment, and Magnetoencephalography (MEG)/Magnetic resonance imaging (MRI) procedures at …
Validation of Accexible as a Tool for Screening and Monitoring Depression.
Major depressive disorder (MDD) is a chronic disease with a prevalence around 8-12% and is considered one of the most debilitating disease worldwide. A recent orientation is the analysis of language in relation to the description of images with a high and varied semantic and emotional content. It can be …
Optimize and Predict Antidepressant Efficacy for Patient With MDD Using Multi-omics Analysis and AI-predictive Tool
OPADE is a non-profit, observational, multicenter, open-label study aimed at defining personalized treatment for Major Depressive Disorder (MDD). In particular, we will combine genetics, epigenetics, microbiome, immune response data together with anamnesis, questionnaires, electroencephalography (EEG) collected from subjects suffering MDD. Eventually, an Artificial Intelligence (AI)/Machine Learning (ML) predictive tool will …
