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Related Experiment Video

Updated: Jun 23, 2025

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
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Recursive Self-feedback Improved Speech Fluency in Two Patients with Chronic Nonfluent Aphasia.

Gerald C Imaezue1, Ofer Tchernichovski2, Mira Goral3,4

  • 1Department of Communication Sciences and Disorders, University of South Florida.

Aphasiology
|June 19, 2024
PubMed
Summary
This summary is machine-generated.

People with nonfluent aphasia (PWNA) can improve speech fluency using automated recursive self-feedback. This novel approach enhances speaking rate and speech initiation without speech-language pathologists, overcoming treatment barriers.

Keywords:
Mobile-based treatmentNonfluent AphasiaRecursive Self-feedbackSelf-feedback

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Area of Science:

  • Neurology
  • Speech-Language Pathology
  • Digital Health

Background:

  • Previous research shows people with nonfluent aphasia (PWNA) benefit from scripted speech therapy with clinician feedback.
  • Automated feedback could overcome barriers like limited clinician availability and patient mobility issues in aphasia treatment.
  • This study investigates if PWNA can improve language production using self-generated auditory feedback without direct speech-language pathologist (SLP) input.

Purpose of the Study:

  • To determine if recursive self-feedback, delivered via a smartphone app, can enhance speech fluency in individuals with chronic nonfluent aphasia.
  • To compare the efficacy of automated recursive self-feedback against a control condition lacking self-feedback.
  • To assess improvements in speaking rate and speech initiation latency.

Main Methods:

  • Two individuals with chronic nonfluent aphasia participated in the study.
  • Participants underwent two remote treatments via smartphone app: script production with recursive self-feedback and a non-self-feedback control training.
  • Each treatment was administered for approximately three weeks, with improvements analyzed using quantitative trend analysis and nonoverlap of all pairs (NAP).

Main Results:

  • Recursive self-feedback significantly improved speaking rate and speech initiation latency for both trained and untrained scripts in both participants.
  • The control training also yielded improvements, but these were less pronounced for speaking rate and only affected speech initiation in one participant.
  • Automated recursive self-feedback demonstrated a clear benefit for speech fluency in PWNA.

Conclusions:

  • Preliminary findings suggest that fully automated recursive self-feedback can effectively improve speaking rate and speech initiation latency in PWNA.
  • The success of this automated method indicates that traditional components like speech unison and repeated written script exposure may not be essential for script-based aphasia therapy.
  • Recursive self-feedback presents a promising, accessible avenue for aphasia rehabilitation.