Using Augmentative & Alternative Communication to Promote Language Recovery for People With Post-Stroke Aphasia
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Aphasia
- Post Stroke Aphasia
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: N/AIntervention Model: Single Group AssignmentIntervention Model Description: Participant cohorts: We will use a 2 (groups) X 4 (measurement time points) switching replications design[18] to examine the effects of AAC on aphasia severity and spoken language (AIM 1), elucidate the neurobiological mechanism of AAC-induced language recovery (AIM 2), and identify AAC treatment responder subgroups (Exploratory Aim). This design will allow Group 2 to serve as the control group; however, they will still receive AAC treatment; thus, allowing us to increase the total N who receives AAC treatment to 20 people.Masking: None (Open Label)Primary Purpose: Treatment
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
In aphasia rehabilitation, usual care is focused on helping people recuperate as much of their pre-stroke language capacity as possible.Typically, usual care is a non-standardized therapy that is tailored to the specific needs of the person with aphasia.Once a person reaches a plateau in language re...
In aphasia rehabilitation, usual care is focused on helping people recuperate as much of their pre-stroke language capacity as possible.Typically, usual care is a non-standardized therapy that is tailored to the specific needs of the person with aphasia.Once a person reaches a plateau in language recovery, AAC is implemented with a focus on circumventing, or compensating for the communication challenges associated with aphasia. The ability of people with aphasia to (1) recover language function well-into the chronic phase of stroke recovery and (2) self-cue to promote word retrieval during anomic events offer the solution for how AAC could be employed as a dual-purpose tool to augment language recovery and compensate for deficits. This approach, however, this requires a shift in how AAC is implemented. With the goal of language recovery, treatment needs to focus on instructing people with aphasia how to use AAC as a mechanism for self-cueing, rather than as a tool to replace speaking. Based on our pilot data, we hypothesize that this novel method to AAC implementation will promote language recovery by coupling the canonical language and visual processing neural networks. This work will also contribute to our ability to identify, a priori, who will respond to this particular AAC intervention and who will not, by combining neuroimaging with behavioral and clinical data. This has the potential to reduce the cost of healthcare for stroke recovery by implementing the most effective treatment possible. Importantly, when we identify non-responders, this will allow us to construct a profile and identify features of the AAC treatment that require adjustment to meet their unique needs.
Tracking Information
- NCT #
- NCT04081207
- Collaborators
- Children's Hospital Medical Center, Cincinnati
- Investigators
- Principal Investigator: Aimee Dietz, PhD University of Cincinnati
Get Well Soon