Understanding different types of stuttering using brain imaging and machine learning
Predicting stuttering subtypes from functional connectivity using machine learning
This study is looking at how the brains of people who stutter work differently to help us understand the different ways stuttering shows up, so we can find better ways to support and treat those who experience it.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Boston University (Charles River Campus) NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11163836 on NIH RePORTER |
What this research studies
This research investigates persistent developmental stuttering (PDS), a speech disorder affecting fluency, by examining the brain's neural networks through advanced imaging techniques. The study aims to identify distinct types of stuttering behaviors, such as repetitions and blocks, by analyzing resting-state functional magnetic resonance imaging (rs-fMRI) data. Using machine learning, the researchers will predict which type of disfluency a person may exhibit based on their brain connectivity patterns. This approach seeks to enhance our understanding of stuttering and improve treatment strategies for those affected.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults over 21 years old who experience persistent developmental stuttering.
Not a fit: Patients who do not stutter or those with stuttering that is not persistent may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatments for individuals who stutter.
How similar studies have performed: Previous research has shown promise in using neuroimaging and machine learning to understand speech disorders, indicating potential for success in this novel approach.
Where this research is happening
Boston, United States
- Boston University (Charles River Campus) — Boston, United States (Active)
Researchers
- Principal investigator: Kim, Jackie Sihyun — Boston University (Charles River Campus)
- Study coordinator: Kim, Jackie Sihyun
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.