Major Depressive Disorder Clinical Trial
Official title:
Sleep Quality, Cognitive Performance, and Computerized Cognitive Training Comparison of Patients Treated With Lurasidone vs.Patients With Major Depression Receiving Selective Serotonin Reuptake Inhibitor(SSRI) Treatment as Usual
Poor sleep quality is common in neuropsychiatric conditions and some of the problems associated with poor sleep at night may be due to medication side effects or reduced efficacy of certain treatments. Poor sleep quality has been implicated in cognitive impairments, with the sleep quality to cognition association so strong that specialized assessments have been developed to examine the subjective association between poor nighttime sleep and daytime cognitive impairment. Computerized cognitive training (CCT) is a training procedure designed to build cognitive skills, with a goal of improvement of functional outcomes. CCT is also a learning-based approach and previous studies have shown that successful CCT interventions lead to changes in brain circuitry. It is also known, however, that many cases who are treated with CCT fail to make treatment-related gains. Recent studies have suggested that this may be associated with failures to engage in the training procedures, which could be related to sleep related impairments. Increased anticholinergic load can also substantially disrupt the process of training related gains directly. Antihistaminergic effects, common to many antidepressant and antipsychotic medications, can lead to daytime sedation and sleepiness, which both interferes with treatment but also interferes with nighttime sleep as well In previous clinical trials, Lurasidone was associated with reductions in sleepiness and with cognitive gains that exceeded practice effects. One viable hypothesis is that Lurasidone has both direct beneficial effects on cognition and substantial indirect benefits, due to the lack of histamine receptor occupancy, lack of anticholinergic effects, and direct promotion of positive nighttime sleep outcomes. Thus, a broad-spectrum naturalistic comparison of Lurasidone-treated patients with patients treated with other medications is proposed. This would include examining the level of engagement in CCT treatment, measurement of CCT training gains, and relating engagement and training gains with concurrent sleep quality, measured by actigraphy.
Poor sleep quality is common in neuropsychiatric conditions and some of the problems associated with poor sleep at night may be due to medication side effects or reduced efficacy of certain treatments. These impairments in daytime cognition seem most significant in areas relevant to daytime learning and nighttime memory consolidation, which has important implications for the success of rehabilitation focused psychiatric treatments. These treatments are learning based and functional and social skills are trained with teaching, which cannot be successful in the presence of significant memory consolidation problems. Reduced levels of slow wave sleep are likely to lead to problems in the consolidation of information presented for learning. Computerized cognitive training (CCT) is a training procedure designed to build cognitive skills, with a goal of improvement of functional outcomes. CCT is also a learning-based approach and previous studies have shown that successful CCT interventions lead to changes in brain circuitry. It is also known, however, that many cases who are treated with CCT fail to make treatment-related gains. Recent studies have suggested that this may be associated with failures to engage in the training procedures, which could be related to sleep related impairments. These impairments could lead either to failures to concentrate during the daytime or failures to consolidate at night. As a result, the commonly expected benefits on neuroplasticity associated with CCT may be interrupted by poor sleep and this may lead to reduced benefits associated with combined skills training and CCT interventions. In addition to the adverse effects of impaired sleep on consolidation and daytime alertness, there are multiple ways that these processes can be disrupted pharmacologically through several different factors. Increased anticholinergic load can substantially disrupt the process of training related gains directly. Antihistaminergic effects, common to many antidepressant and antipsychotic medications, can lead to daytime sedation and sleepiness, which both interferes with treatment but also interferes with nighttime sleep as well. In a previous study, treatment with Quetiapine was previously found to induce substantial sleepiness and was associated with essentially no practice related improvements in cognition across 4 assessment time periods In contrast, Lurasidone was associated with reductions in sleepiness and with cognitive gains that exceeded practice effects. Thus, some of the differences in cognitive performance between quetiapine and Lurasidone could be due to sleep disturbance, in addition to the intrinsic benefits of lurasidone on cognition. One viable hypothesis is that Lurasidone has both direct beneficial effects on cognition and indirect benefits, due to the lack of histamine receptor occupancy, lack of anticholinergic effects, and direct promotion of positive nighttime sleep outcomes. Thus, a broad-spectrum naturalistic comparison of Lurasidone-treated patients with patients treated with other medications is proposed. This would include baseline cognitive performance, measurement of treatment-related gains, and wearable devices. The assessments goals would be to measure nighttime sleep, engagement in CCT, and cognitive gains over the study period. The primary outcome is cognitive gains with training over the treatment period. ;
Status | Clinical Trial | Phase | |
---|---|---|---|
Recruiting |
NCT05537558 -
Precision Medicine for the Prediction of Treatment (PROMPT) Response (PROMPT)
|
||
Terminated |
NCT02192099 -
Open Label Extension for GLYX13-C-202, NCT01684163
|
Phase 2 | |
Completed |
NCT03142919 -
Lipopolysaccharide (LPS) Challenge in Depression
|
Phase 2 | |
Recruiting |
NCT05547035 -
Identification of Physiological Data by a Wearable Monitor in Subjects Suffering From Major Depression Disorders
|
N/A | |
Terminated |
NCT02940769 -
Neurobiological Effects of Light on MDD
|
N/A | |
Recruiting |
NCT05892744 -
Establishing Multimodal Brain Biomarkers for Treatment Selection in Depression
|
Phase 4 | |
Recruiting |
NCT05537584 -
SMART Trial to Predict Anhedonia Response to Antidepressant Treatment
|
Phase 4 | |
Active, not recruiting |
NCT05061706 -
Multicenter Study of Lumateperone as Adjunctive Therapy in the Treatment of Patients With Major Depressive Disorder
|
Phase 3 | |
Completed |
NCT04479852 -
A Study of the Safety and Efficacy of SP-624 in the Treatment of Adults With Major Depressive Disorder
|
Phase 2 | |
Recruiting |
NCT04032301 -
Repeated Ketamine Infusions for Comorbid PTSD and MDD in Veterans
|
Phase 1 | |
Recruiting |
NCT05527951 -
Enhanced Measurement-Based Care Effectiveness for Depression (EMBED) Study
|
N/A | |
Completed |
NCT03511599 -
Cycloserine rTMS Plasticity Augmentation in Depression
|
Phase 1 | |
Recruiting |
NCT04392947 -
Treatment of Major Depressive Disorder With Bilateral Theta Burst Stimulation
|
N/A | |
Recruiting |
NCT05895747 -
5-HTP and Creatine for Depression R33 Phase
|
Phase 2 | |
Recruiting |
NCT05273996 -
Predictors of Cognitive Outcomes in Geriatric Depression
|
Phase 4 | |
Recruiting |
NCT05813093 -
Interleaved TMS-fMRI in Ultra-treatment Resistant Depression
|
N/A | |
Recruiting |
NCT05135897 -
The Neurobiological Fundaments of Depression and Its Relief Through Neurostimulation Treatments
|
||
Enrolling by invitation |
NCT04509102 -
Psychostimulant Augmentation of Repetitive TMS for the Treatment of Major Depressive Disorder
|
Early Phase 1 | |
Recruiting |
NCT06145594 -
EMA-Guided Maintenance TMS for Depression
|
N/A | |
Recruiting |
NCT06026917 -
Assessing Dopamine Transporter Occupancy in the Patients With Depression Brain With Toludesvenlafaxine Hydrochloride Extended-Release Tablets Using 11C-CFT Positron Emission Tomography (PET)
|
Phase 4 |