NCT04081207

Using Augmentative & Alternative Communication to Promote Language Recovery for People With Post-Stroke Aphasia

A Preliminary Study of the Neurobiology of AAC-Induced Language Recovery in Post-Stroke Aphasia

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 20 (estimated)
• Sponsor: University of Cincinnati · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The currently available interventions only partially restore language abilities in patients with post-stroke aphasia; preventing successful reintegration into society. This study will increase our knowledge of how we can use assistive technology interventions to help people with aphasia restore language function. Further, this project will help us identify regions of the brain responsible for these changes.

Detailed 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 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.

Conditions

• Post-stroke Aphasia
• Aphasia

Interventions

Type	Name	Description
BEHAVIORAL	AAC for Language Recovery (AAC-LaRc)	iPads will be programmed with a personalized communication application (app) and a structured 4-step intervention will be employed to instruct patients how to cue themselves during anomic events via pictures, text, or speak buttons.

Timeline

• Start date: 2018-09-01
• Primary completion: 2021-08-01
• Completion: 2021-12-01
• First posted: 2019-09-09
• Last updated: 2019-09-09

Locations

1 site across 1 country: United States