10 Clinical Trials for Various Conditions
The primary aim of this study is to determine whether a computerized inhibitory control training (ICT) will improve CBT treatment outcomes for Bulimia Nervosa and Binge Eating Disorder.
Overweight and obese individuals will be randomly assigned to a food-specific or generic inhibitory control training. Food intake, weight, and neural indices of inhibitory control will be assessed prior, immediately after the 4-week intervention, and 12-weeks after intervention completion to assess the effectiveness of a mobile inhibitory control training intervention over time for health outcomes.
Insufficient inhibitory control is one pathway through which early adversity is related to a range of problems including excessive alcohol use, tobacco use, and unhealthy eating. The proposed research leverages a neurally informed model of inhibitory control and how it can be improved to test the efficacy of a person-centered inhibitory control intervention in a sample of mid-life individuals with early adversity. The knowledge obtained by this study could be scaled into a flexible, low-cost, and wide-ranging intervention to remediate some of the effects of early adversity on inhibitory control and thus a number of prevalent health risking behaviors.
Cocaine abuse is an unrelenting public-health concern. Behavioral therapies are considered the "standard of care" for reducing cocaine use and preventing relapse. However, even with intense behavioral interventions, rates of relapse to cocaine use are discouragingly high (i.e., 60-95% of patients return to drug use). Novel strategies are urgently needed to improve treatment outcomes for cocaine-use disorders. The overarching goal of this project is to assess the feasibility, acceptability and initial efficacy of an innovative cocaine-based inhibitory-control training procedure. This goal will be accomplished through the conduct of a Stage I pilot trial. Cocaine-dependent participants will be enrolled and randomized to receive inhibitory-control training to cocaine or neutral images (N=20/condition). This proposed intervention, cocaine based inhibitory-control training, will be delivered using an innovative computer program which teaches cocaine abusers to inhibit a pre-potent response to cocaine or neutral cues. The primary hypothesis is the proposed procedures are feasible and acceptable to the participants. Feasibility will be assessed by determining time needed to enroll the target sample; adaptive randomization outcomes; participant attendance, completion and adherence to study procedures. Acceptability will be determined using a Treatment Acceptability Questionnaire. The secondary hypothesis is that participants receiving cocaine-based inhibitory-control training will reduce their drug use to a greater extent than their counterparts in the neutral-image condition. Reduced cocaine use will be demonstrated by fewer positive-urine samples using qualitative urinalysis and a reduction in levels of benzoylecgonine as determined by quantitative urinalysis (i.e., ELISA). The third hypothesis is that participants receiving cocaine-based inhibitory-control training will show improved inhibitory control and neurocognitive functioning relative to their counterparts in the neutral-image condition. Improved inhibitory control, impulsivity and cognitive functioning will be demonstrated using a battery of clinical instruments and laboratory tasks. The proposed research is highly innovative in that it will provide critical information regarding the feasibility, acceptability, initial efficacy of cocaine-based inhibitory-control training to reduce drug use and improve inhibitory control and neurocognitive functioning in cocaine-dependent participants. Cocaine-based inhibitory control training is also easy to administer (i.e., 15 minutes), inexpensive, need not be administered by a clinician, and could easily be incorporated into current behavioral or community-based treatment approaches to enhance sustained abstinence, thereby quickly impacting clinical research and practice.
This study will evaluate the effects of a computerized training program coupled with cognitive behavioral therapy (CBT) for OCD.
Dietary choices, and in particular, excess calorie intake leading to obesity, are strong, but reversible risk factors for cancer. For example, foods high in added sugars are low-nutrient, high calorie foods that increase the risk of cancer by promoting weight gain. As such, the reduction of sweets is consistent with American Institute for Cancer Research and the American Cancer Society dietary recommendations. Behavioral interventions to alter diet have limited long-term efficacy, most likely because eating decisions are governed by automatic neurocognitive processes that are not addressed in conventional interventions. In particular, the ability to refrain from consuming unhealthy, but widely available, palatable foods, is increasingly understood to depend on inhibitory control, i.e., the ability to cut off action tendencies that are put in motion by innate drives towards rewarding behaviors. Recent work by our team and others have demonstrated that computer-based inhibitory control trainings result in short-term, specific changes in behavior, such as reducing intake of salty snack food, chocolate, and alcoholic beverages. An automatized, home computer-based inhibitory control training offers the potential of an inexpensive and highly disseminable method of lowering cancer risk across wide swaths of the population. As such, we aim to evaluate the feasibility, acceptability, mechanism of action, effectiveness and persistence of a home computer-based inhibitory control training. In particular, we hypothesize that a high-repetition training in inhibitory control will result in increased adherence to a low-sugar diet, and that effects will be mediated through improved inhibitory control. We further hypothesize that gamefying the training will improve efficacy because it will boost compliance with the daily trainings. We also hypothesize that the training will be most effective for those starting of with impaired inhibitory control, as well as those with strongest desire for palatable foods and those with strongest explicit health goals. Lastly, we aim to examine the impact of inhibitory control training on secondary outcomes, including on overall caloric intake, and on short-term weight loss. To achieve these aims, the proposed study will recruit 100 overweight and obese individuals who currently eat high-sugar diets, and who wish to improve their diets. Participants will be assigned a reduced-sugar diet for 8 weeks. After a baseline period, participants will be randomized, via a 2 x 2 factorial design, to receive 6 weeks of either inhibitory control training or a sham training, and either a gamified or non-gameified training. The 6-week intervention will consist of 15 minutes per day of home computer- based inhibitory control training, and will be followed by a 1-week booster and then 1-week follow-up period. Dietary adherence will be measured via a food frequency questionnaire and via automated 24-hour food recall. Neurocognitive variables will be assessed pre and post-training in order to test trainings' mechanism of action, and moderation will be assessed through baseline trait measures of explicit health goals, implicit attitudes towards appetitive stimuli, body mass index, and responsivity to food cues.
Dependence on tobacco derived nicotine is a major public health problem. Substance users who complete training in mindfulness subjectively report increased patience and improved motor control over their impulses. Yet, no studies have tested this perceived benefit with behavioral measures of impulse control. The investigators are conducting a randomized controlled clinical trial, which compares Cognitive-Behavioral Therapy and Mindfulness Training for tobacco smokers, using behavioral measures to investigate the effects of mindfulness training on impulsivity and inhibitory control.
This trial will examine whether interrupting 3.5 hours of sitting every 30 min with 6 min high intensity interval training (HIIT) breaks compared to light intensity interval training (LIIT) will improve brain health in cognitively normal older adults. This trial will test the feasibility of HIIT breaks to sitting. It will also address several important but unanswered questions: (1) Does interrupting sitting with short HIIT breaks improve frontoparietal function? (2) Can interrupting sitting with HIIT breaks improve cognitive functions?
The goal of this clinical trial is to learn if engaging with an digital intervention may improve cognitive function. The main questions it aims to answer are: 1. Does engagement in with a digital intervention improve working memory? 2. Does engagement in with a digital intervention improve inhibitory control? Researchers will compare two different digital interventions to assess whether they may be helpful in improving cognitive function. Participants will conduct study activities remotely (e.g., at-home): 1. Baseline Assessment. Complete a series of cognitive assessments and surveys. 2. Intervention. Engage in a digital intervention for up to 8 weeks. 3. Post Intervention Assessment. Complete the same cognitive assessments and surveys as the Baseline Assessment. 4. Follow-Up Assessment. Six months after the intervention ends, participants will complete the same cognitive assessments and surveys as the Baseline Assessment.
Healthy aging is typically accompanied by diminished capability for learning and retrieval of high-fidelity long-term memory (LTM). The decline in these faculties is accelerated and becomes significant deficits in LTM and cognitive control functions at the level or a diagnosis of Mild Cognitive Impairment (MCI). Training with the navigation game, relative to training with control games, is expected to improve LTM performance for older adult participants. Researchers will compare two different digital interventions to assess whether they may be helpful in improving cognitive function. Participants will conduct study activities remotely (e.g., at-home): 1. Baseline Assessment. Complete a series of cognitive assessments and surveys. 2. Intervention. Engage in a digital intervention for up to 8 weeks. 3. Post Intervention Assessment. Complete the same cognitive assessments and surveys as the Baseline Assessment. 4. Follow-Up Assessment. Six months after the intervention ends, participants will complete the same cognitive assessments and surveys as the Baseline Assessment.