View clinical trials related to Mild to Moderate Dementia.
Filter by:The greying of the world is leading to a rapid acceleration in both the healthcare costs and caregiver burden that are associated with dementia. There is an urgent need to develop new, easily scalable modalities of support to reduce agitation and anxiety in those with dementia. There is evidence that music interventions reduce agitation and anxiety in those with dementia. LUCID has developed a novel digital music therapeutic product that uses a reinforcement learning AI agent to curate and personalize the musical playlist while incorporating binaural theta auditory beat stimulation (ABS) to reduce anxiety and agitation in those with dementia. This study will be conducted remotely with study hardware (tablets and Bluetooth speakers) being shipped to caregivers/participants' homes. The study will take place over a 2-week period, with participants completing 4 one-hour sessions per week along with an additional 1-hour follow-up interview session. Forty-eight participants with mild to moderate dementia (as defined by the Montreal Cognitive Assessment) will be evenly randomized to one of two conditions. The control condition consists of a selection of 30-minute audiobooks which the participant has the freedom to select from. The experimental condition consists of music and binaural ABS curated by LUCID's AI system. Participants' caregivers will complete baseline questionnaires assessing the participants' anxiety, agitation, and mood. They will also complete these questionnaires before and after each experimental session. The investigators hypothesize that the LUCID AI music curation system will have a greater agitation and anxiety reduction compared to the audiobook control condition.
Cognitive training has emerged as a promising method to maintain, enhance, and rehabilitate cognitive function in older adults and individuals with dementia. In recent years, such training has become particularly appealing in the clinical context, with many paradigms aimed specifically at adults experiencing various stages of cognitive decline due to Mild Cognitive Impairment, Alzheimer's disease, and vascular dementias. However, basic questions remain. For example, uncertainty persists regarding factors that influence observed improvements as well as the conditions that would maximize transfer and sustainability of training effects. The objective of this study is to evaluate factors that may maximize the benefits of computerized cognitive training in older adults.