Exploring how language experience influences language development using AI models and brain imaging
Understanding how experience shapes language development through comparisons of large language models and neural representations
This study is looking at how the amount of language kids and teens hear affects how their brains develop language skills, using brain scans to see how different age groups respond to language.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts Institute of Technology NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project ID | NIH-11165183 on NIH RePORTER |
What this research studies
This research investigates how language experience affects language development in children and adolescents by comparing brain activity with large language models (LLMs). Using advanced brain imaging techniques, the study will measure how different age groups respond to language and how these responses relate to the amount of language data they have been exposed to. By analyzing brain patterns and LLM outputs, the research aims to uncover the developmental changes in language representation in the brain. Participants will include children and adolescents from various age groups, providing insights into the critical role of language experience in shaping language skills.
Who could benefit from this research
Good fit: Ideal candidates for participation are children and adolescents aged 6 to 16 who are in the process of acquiring language skills.
Not a fit: Patients who are not within the specified age range or who do not have language acquisition challenges may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could enhance our understanding of language development, potentially leading to improved educational strategies and interventions for children with language acquisition challenges.
How similar studies have performed: Other research has shown promising results in using AI models to understand cognitive processes, suggesting that this approach could yield valuable insights into language development.
Where this research is happening
Cambridge, United States
- Massachusetts Institute of Technology — Cambridge, United States (Active)
Researchers
- Principal investigator: Olson, Halie Ann — Massachusetts Institute of Technology
- Study coordinator: Olson, Halie Ann
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.