Improving Everyday Task Performance Through Repeated Practice in Virtual Reality.

Functional disability, the loss of independence in everyday tasks like meal preparation, is a core diagnostic criterion for clinical dementia/Alzheimer's disease (AD) and contributes to the disease's exorbitant costs and caregiver burden. There is currently no cure for AD and available interventions have had limited success at reducing functional disability. Cognitive training leads to reliable improvements on the specific task(s) that are repeatedly practiced, but transfer to untrained, functional tasks is limited. Because of both limited transfer and rigid (procedural) learning in AD, novel language-based interventions for dementia have focused on repeated practice with a circumscribed and highly personalized vocabulary to maintain functional communication. Repeated practice of everyday tasks (leveraging intact procedural memory also has been shown to improve performance of trained tasks in people with AD but is not a feasible intervention, because the effort required to set up tasks, monitor performance, and provide feedback/supervision is far greater than having a caregiver simply complete the task for the patient. However, if repeated practice of specific everyday tasks could be implemented in a more cost-effective, efficient manner, then this straightforward intervention strategy could reduce functional disability and associated costs of care and caregiver burden. This R21 proposal will investigate the efficacy of a low-cost and portable computer training program that uses non-immersive virtual reality (VR) to enable participants with AD to independently practice meaningful everyday activities (e.g., meal preparation). The goal of this R21 study is to evaluate the extent to which training in a virtual context will generalize to real life tasks. If training effects generalize from virtual to real settings, then training of customized tasks for maintaining and improving functional abilities in older adults with AD will be investigated in a future randomized, controlled clinical trial. This proposal was informed by a cognitive activation model on which everyday activities are represented as schema hierarchies. Activation within the schema hierarchy may spread automatically from higher level schema (e.g., make lunch) to lower level schema (e.g., spread peanut butter) as well as from objects or environments that may "trigger" associated schema (e.g., a coffee mug may activate coffee-making schema). Deliberate cognitive control is essential to modulate activations, enable smooth transitions between schema subtasks, and inhibit inappropriate activation from objects in the environment. Without control mechanisms, interference from competing schema or objects in the environment may derail performance and lead to inefficiency and disorganization of task steps (i.e., commission errors like mis-sequencing, incorrect object selection, etc.). Another mechanism for performance difficulties involves premature decay of schema activation or degraded task schema/knowledge (i.e., omission errors). On this model, repeated practice serves to strengthen associations within a schema hierarchy and between task schema and target objects in the environment, reducing the burden on control mechanisms and the likelihood of premature decay. To evaluate the efficacy of VR Training the investigators will recruit 40 participants with AD to complete daily training sessions for one week. VR Training will include repeated practice of a single, everyday task in a non-immersive VR context (e.g., VR Breakfast) using a laptop with a touch-screen interface. Performance of a real-life version of the trained task (e.g., Real Breakfast) and a matched, untrained/control, real task (e.g., Real Lunch) before and at two time points post-VR Training will serve as the primary outcome measures. All procedures are designed to achieve the following aims: Aim 1: To test the hypothesis that individuals with mild-moderate AD will show improved performance on an everyday task after repeatedly practicing the task in VR. When people with AD repeatedly practice tasks in real life, they show improved performance of those tasks. Transfer from VR training to real life outcomes has not been systematically studied in AD, but healthy adults, a case report of a woman with moderate AD, and pilot data from the investigators' laboratory support transfer from VR to real tasks. Thus, the investigators predict that participants will show significantly higher task accomplishment, fewer errors and faster completion times from Baseline to Post-Testing on real trained tasks versus real untrained tasks. Aim 2 (Exploratory): To explore usability and acceptability of the VR Training and associations between individual differences variables (e.g., cognitive abilities) and training effects. These analyses will elucidate mechanisms and identify individuals most likely to benefit from VR Training. Results will demonstrate the efficacy and feasibility of VR Training and identify the patient characteristics most strongly associated with training benefits on real life tasks. Data will be used to inform a future randomized clinical trial using VR tasks that are customized to participants' daily routines.