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

Not Applicable
Conditions
Aphasia
Post-stroke Aphasia
Interventions
Behavioral: AAC for Language Recovery (AAC-LaRc)
Registration Number
NCT04081207
Lead Sponsor
University of Cincinnati
Brief 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.

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
20
Inclusion Criteria
  • at least 18 years old
  • native speaker of american English
  • compatible for 3 Tesla MRI
  • Ischemic, left middle cerebral artery stroke
  • at least 12 months post stroke
  • pass hearing screening
  • pass vision screening
  • diagnosis of aphasia on the Western Aphasia Bedside Screen
  • ability to produce 5-10 intelligible words
  • no more than a moderate apraxia of speech or dysarthria
  • minimal or no AAC/iPad experience
  • written consent by self or guardian
Exclusion Criteria
  • fails to meet the above
  • Underlying degenerative or metabolic disorder or supervening medical illness
  • Severe depression or other psychiatric disorder
  • Report of pregnancy by women of childbearing age

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
AAC-LaRcAAC for Language Recovery (AAC-LaRc)all participants receive the experimental treatment
Primary Outcome Measures
NameTimeMethod
Connectivity Indices3 years

Connectivity indices reflect the temporal correlation between canonical language and visual regions of interest during language and resting state fMRI tasks.

Visual Regions of Interest Activation intensity3 years

A functional magnetic resonance imaging (fMRI) measure to indicate change in brain involvement during resting state and language tasks.

Western Aphasia Battery-Revised Aphasia Quotient3 years

a diagnostic tool used to determine aphasia type and severity

Secondary Outcome Measures
NameTimeMethod
Motor-Free Visual Perception Test-43 years

The Motor-Free Visual Perception Test-4 assesses visual perceptual ability without requiring motor responses.

Mean Diffusivity (MD)3 years

MD is used to map tracts and serves as a measure of health or disease in white matter. We will determine the MD for the following pathways: (1) superior, (2) inferior fronto-occipital, (3) middle longitudinal, (4) inferior longitudinal fasciculus, (5) arcuate, and (6) uncinate

Communication Effectiveness Index (CETI)3 years

The CETI measures functional communication scenarios that caregivers rate the ability of the patient to complete tasks, as compared to before their stroke, via a 10 cm visual analogue scale.

Communication analyses3 years

We will calculate percentage of communication conveyed via pictures, text boxes, and speak button during personal story retells with and without the iPad AAC support.

Fractional Anisotropy (FA)3 years

FA is a value of diffusion and reflects white matter density and myelination. We will examine the following tracts: (1) superior, (2) inferior fronto-occipital, (3) middle longitudinal, (4) inferior longitudinal fasciculus, (5) arcuate, and (6) uncinate

Language Lateralization Indices (LI)3 years

LI is a measure that reflects hemispheric dominance for language, while accounting for lesioned tissue.

Discourse Analyses3years

We will calculate percentage of counted words, mazes, correct information units, t-units, during personal story retells with and without the AAC support.

Stroke and Aphasia Quality of Life-39 (SAQOL-39)3 years

The SAQOL-39 is a valid and reliable measure of health related quality of life, post-stroke that uses an aphasia friendly 5 point Likert scale format.

Trial Locations

Locations (1)

University of Cincinnati

🇺🇸

Cincinnati, Ohio, United States

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