View clinical trials related to Depressive Disorder.
Filter by:Postnatal depression is an important problematic in French population with approximatively 10 -20% of women who suffer from postnatal depression. This pathology may have strong negative impact on both women and neonate's health. The women's satisfaction degree in front of childbirth is an important factor associated with postnatal depression since women unsatisfied of their childbirth and/or women with a complicated childbirth are more encline to suffer from postnatal depression. It is likely that the actual context of Covid 19 pandemia and the change in obstetrical cares organization may have a negative impact on women's satisfaction about their childbirth and so a negative impact on the risk of postnatal depression.
This study will compare the effect of three transcranial photobiomodulation (t-PBM) doses (high, middle, and low irradiance) to sham t-PBM on PFC CBF as assessed with fMRI (BOLD) in this multi-center, phase I, double-blinded, dose-ranging, controlled, crossover study of 30 subjects with MDD. All eligible participants will undergo four sessions of t-PBM during fMRI so that they experience irradiances of 50, 300 and 700 mW/cm2 as well as sham. The order of dose administration will be randomized and t-PBM will be administered with the LightForce® EXPi Deep Tissue Laser TherapyTM System, Transcranial PhotoBioModulation-1000 (tPBM-2.0).
The primary purpose of this study is to evaluate if the effectiveness of desvenlafaxine succinate sustained-release tablet (50 mg/day) used for 8 weeks is not inferior to duloxetine hydrochloride enteric-coated capsule (60 mg/day) in adult patients with major depressive disorder.
This is a sham-controlled, randomized trial for patients with MDD to identify the effects of TBS on depressive symptomatology, brain function, and peripheral biomarkers in MDD patients.
Perinatal depression and anxiety are common, serious, and frequently overlapping disorders that increase morbidity and mortality in new mothers (including suicide) and result in poor infant/child outcomes. Current therapies often fail to produce recovery or are poorly tolerated, and many pregnant women seek non-pharmacologic therapy or forgo treatment when non-pharmacologic options are not available. Expectant and new mothers who experience circadian rhythm dysregulation are at increased risk for perinatal depression. This Confirmatory Efficacy Clinical Trial of Non-Pharmacological Interventions for Mental Disorders R01 seeks to test whether a Personalized Integrated Chronotherapy (PIC) intervention can improve treatment outcomes for pregnant patients seeking outpatient treatment for depression, with or without anxiety. PIC is a multicomponent treatment consisting of bright light therapy, sleep phase advance, and sleep stabilization/restriction that targets the Research Domain Criteria (RDoC) constructs of circadian rhythms and sleep-wake behavior. To increase sample size and diversity and accelerate recruitment, this study will be performed at 4 sites that differ in clinical structure and that have piloted the PIC intervention. The study will enroll expectant mothers diagnosed with major depressive disorder during 3rd trimester of pregnancy. Participants will be randomized to either: (a) usual care (UC, n = 110) or (b) PIC+UC (n = 110). PIC+UC will have pregnancy and postpartum components and will be administered via a personalized approach tailored to optimize the intervention based on each patient's individual circadian and sleep timing. After a baseline assessment, PIC will be prescribed during 5 dedicated clinical visits: three during 3rd trimester of pregnancy and 2 in the postpartum period. UC will consist of medication and/or psychotherapy. UC will be quantified in both groups to evaluate differences between the PIC+UC and UC groups. Mood will be measured in both groups by blinded clinician interview and patient self-report. The safety profile of the PIC intervention will be assessed by evaluation of side effects/adverse events. Importantly, the study will also examine the target mechanisms by which PIC is hypothesized to work and test the mediation effects of the circadian targets on improvement in mood symptoms. Participants will wear wrist actigraphy/light monitors continuously during weeks 28-40 of pregnancy and postpartum weeks 2-6 to assess light exposure and to estimate sleep timing and duration. Circadian phase (measured with salivary dim light melatonin onset) will be measured at baseline during pregnancy (~30 weeks' gestation), at 36 weeks' gestation, and at postpartum week 6. Exploratory aims will examine associations between infant sleep behavior and maternal circadian rhythms and factors relevant to future dissemination of PIC. If this intervention is effective, perinatal PIC could change clinical practice and have major public health impact due to the high prevalence of perinatal depression and anxiety, the negative effects of mood disorders on mothers and their children, and the need to provide effective, novel, non-pharmacologic therapies for women with perinatal mood disorders.
Background Computerized cognitive behavioural therapy (cCBT) is proven to be an effective self-help tool for preventing depression and suicide. Patient adherence is one of the components that the effectiveness of cCBT self-help tools are dependent on and that needs to be researched for understanding and maximizing the effectiveness of computer-based interventions for depression and suicide. Aims The aims of this study were to compare the adherence of iFightDepression (iFD) online tool user patients with and without an extra weekly phone call consultation and to test predictors of adherence.
Mood disorders are associated with significant financial and health costs for the United States, partially due to cognitive problems in these patients that can worsen disease course and impair treatment response. This study proposes to use smartphone-based technology to monitor cognitive problems in patients with mood disorders by linking brain network changes with predicted worsening of mood symptoms. The proposed study will provide evidence for using smartphone-based passive sensing as a cost-effective way to predict illness course and treatment response.
Researchers are testing whether a computer program (called a clinical decision support tool) can help clinicians predict how a patient with depression will respond to antidepressant medication.
Hypothesis 1: Pregnant women in the EFT group will have a lower test score from Edinburgh Postpartum Depression Scale, and a follow-up score of three months and six months after the last application date, compared to the control group. Hypothesis 2: In the post-test of pregnant women in the EFT group, three months and six months after the last application date, the optimistic, self-confident and social support approach methods used to deal with stress will increase, and the helpless and submissive approach styles will decrease compared to the control group. Hypothesis 3: Pregnant women in the EFT group will have a lower test score from the State-Trait Anxiety Inventory, and a follow-up score of three months and six months after the last application date, compared to the control group.
This is a Phase 2 double-blind, long-term observational follow-up study of participants from Study PSIL201. Participants providing informed consent will be enrolled into this study and will complete web surveys and telephone interviews conducted by one central site at the following time intervals: months 2, 3, 4, 5 and 6 (± 7 days for each assessment) and months 8, 10, 12, 14, 16, 18, 20, 22 and 24 (± 14 days for each assessment).