View clinical trials related to Depressive Disorder.
Filter by:The primary objective of this study is to assess acquisition and retention of a Cognitive Behavioral Therapy (CBT)-based "cognitive restructuring" skill, among young adolescents (12-15 years of age) with elevated depression symptoms and with population-level variability in lifetime exposure to adverse childhood experiences. This study uses a repeated-measures, longitudinal design to investigate associations between adversity exposure and learning-related cognitive control processes in the context of elevated depression (Aim 1). Adversity exposure and cognitive control will be examined as direct predictors of cognitive restructuring skill acquisition and skill retention over six-months; an indirect pathway from adversity to skill acquisition through cognitive control will also be examined (Aim 2). The study also includes exploration of key characteristics of adversity, namely the type (threat of harm versus deprivation of resources) and developmental timing of exposure, as distinct predictors of skill acquisition (exploratory Aim 3).
The investigators will evaluate a brief group-based cognitive-behavioral treatment program for adolescents aged 13-17 years with internalizing problems.
Severe childhood adversity accounts for a large portion of psychiatric illness, and an increased risk for major depressive disorder (MDD). For some individuals, childhood adversity has negative psychological and medical consequences; others preserve mental and physical health despite such experiences (they are resilient). In spite of this, little is known about the neurobiological mechanisms related to childhood adversity, especially oxidative stress abnormalities in the brain. To fill this gap, this study combines functional, structural, and molecular imaging approaches to examine the role of oxidative stress abnormalities related to childhood adversity.
This study is a multicenter, double-blind, randomized, and confirmed clinical trial in patients taking antidepressants during the 6-week stimulation period , sham stimulation group, low real stimulation group (1mA), high real stimulation group (2mA) and treatment every day for 6 weeks (a total of 42 times). As a primary outcome, the investigator analyze the improvement effect of working memory ability, and confirm whether the effects of anxiety and depression are improved by the secondary outcome, together with the quality of life evaluation.
Major depressive depression (MDD) affects a quarter of young adults and is associated with marked global burden in this population. Recently, growing literature has shown that cognitive dysfunction is common in young adults with depression. There is a vast amount of evidence indicating aerobic exercise has positive effects on cognitive function in healthy as well as in subjects with depression. The results might be dependent on neuroplastic changes induced by aerobic exercise. Nevertheless, the neurocognitive mechanisms of aerobic exercise in young adults with depression has not received systematic investigation. In addition, the association between the underlying brain physiology and cognitive performance has not been explored so far. In this project, the investigators aim to explore the relevance of a single session of aerobic exercise for human brain physiology and the impact of respective physiological effects on cognitive processes in young adults with depression.
Depression often occurs in early childhood. Moreover, later depression is frequently preceded by early childhood Depression (ECD). However, at present, there is a lack of evidence-based tratestments (EBTs) for ECD, posing a core research desideratum highlighted by both the American and German practice parameters for ECD. The current study seeks to redress this research gap, by evaluating the feasibility and dose-dependent effectiveness of manualized short-term psychoanalytic child psychotherapy (PaCT) compared to waitlist in a randomized controlled trial (RCT) among clinically referred 3 to 8-year-olds with ECD. Comprising 20-25 sessions in alternating settings (child-only, caregiver(s)-child, caregiver(s)-only), PaCT focuses on internal conflicts and representations underlying depressive disorders. PaCT targets the child-therapist relationship, using interpretative, play and mentalization-based techniques, aiming to elicit the interpersonal meaning of the child's symptoms within the child-caregiver relationship(s).
Depressive symptoms are common non-motor symptoms in patients with Parkinson's disease and seriously affect the quality of life and prognosis of patients. Currently, treatment measures for patients with Parkinson's disease with depression are mainly limited to pharmacotherapy, but the side effects of antidepressants and their interaction with anti-Parkinsonian drugs limit the use of pharmacotherapy. Repetitive transcranial magnetic stimulation (rTMS) is a new painless and non-invasive neuromodulation technique that is commonly used in the treatment of depression. As the number of people with Parkinson's disease increases in China, the number of patients with Parkinson's disease and depression requiring rTMS treatment will also increase. The size and shape of individual brains, the distance between the stimulation coil and the responding neuronal tissue, and the location and orientation of anatomical structures are all different, and the use of common localization methods is usually limited by these individual anatomical differences. The traditional method relies on manual positioning of the coil, which is time-consuming and inefficient, and it is difficult to meet the requirements of position, angle, and coil orientation simultaneously. Studies have shown that the benefits of using navigation for rTMS treatment are up to twice as high as those of non-navigation methods. Therefore precise localization is a must for the future standardized application of rTMS in the development of patients with Parkinson's disease with depression. In this study, we applied repetitive transcranial magnetic stimulation with neuronavigation to treat patients with Parkinson's disease and depression, and reconstructed cephalometric models with individual cranial imaging data to individualize and precisely target stimulation sites, making rTMS more precise and effective in treating patients with Parkinson's disease and depression, and providing new avenues for further clinical and scientific research.
The present study is a randomized controlled trial that will evaluate two versions of behavioral activation (BA); one version which is a standard BA program and one which is a motor enhanced BA program (mBA). In both programs, the patient will receive all standard BA interventions, whereas these - in the mBA program - will be supplemented with interventions focused on noticing and manipulating posture and movement associated with action initiation. The mBA program builds upon recent evidence pointing to motor manipulations of posture and movement as having the potential to assist in action initiation and thus following through with the planned activity schedule. Previous research has shown that patient compliance with the activity schedule is causally associated with depression reduction, which will be explored as a mediator of treatment gains.
Perinatal depression affects 10-15% of women postpartum and has a recurrence rate of 40%. Women who develop perinatal depression might be particularly susceptible to the rapid and large changes in sex steroid hormones, particularly estradiol, across pregnancy to postpartum. This trial aims 1) to evaluate the preventive effect of transdermal estradiol treatment in the immediate postpartum on depressive episodes in a subgroup of women at high-risk for perinatal depression, and 2) to determine if a set of biomarker gene transcripts can identify this subgroup and thus form the basis for future personalised prevention or treatment. The MAMA Trial is a double-blind, 1:1 randomised, placebo-controlled trial. The trial involves maternity wards at three university hospitals in the Capital Region of Denmark. Women who are singleton pregnant in the third trimester with a prior history of perinatal depression are eligible to participate. Participants will be randomised to either estradiol patches (200 μg per day) or placebo patches for three weeks starting immediately postpartum. The primary statistical analysis will be performed based on the intention-to-treat principle. A sample size of 220 will provide the trial with 80% power (alpha 0.05, beta 0.2) to detect a reduction in postpartum depression of 50% and to tolerate a drop-out of around 20%.
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. 1. 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; 2. 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. 3. Use the convolutional neural network to realize the facial recognition function, and extract the facial parameters to enrich the monitoring indicators. 4. 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. 5. 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.