Evidence-based Modeling for Acquired Dyslexia Treatments

What this Trial Is About

Researchers are studying acquired dyslexia caused by stroke to see if a computer-based model can predict which type of reading therapy will work best for each person. This early phase 1 trial compares two different treatments using a neural network cognitive model to simulate dyslexia and its treatment. The goal is to find out if following the models treatment recommendation offers an advantage over the alternative therapy. Participants will receive two rounds of therapy, each consisting of 60 hours over about six weeks 5 days a week, 2 hours per day. The therapies tested are Phono-Motor Therapy PMT, which focuses on phonological training with letters and sounds, and Semantic Feature Analysis SFA, which uses word meanings and categories to support reading. One group will get the therapy that matches the models prediction for their reading impairment, while the other group will receive the non-matched therapy first and then switch to the other therapy. During the study, participants will have assessments at the start, after the first 60 hours, and after the final 60 hours of therapy. These include reading tests like the Woodcock Reading Mastery Test and wordpseudoword reading, as well as language and aphasia evaluations. Researchers will closely monitor progress throughout the therapy sessions to measure changes in reading ability and language skills. The entire study allows adults aged 18 to 85 with stroke-related acquired dyslexia to participate and lasts through both treatment rounds and follow-up assessments.

Acquired Dyslexia Modeling and Treatment