Understanding brain activity patterns for personalized neurofeedback treatment
Investigating electroencephalographic predictors of default mode network anticorrelation for personalized neurofeedback
This study is exploring how we can use brain activity measurements to create personalized tools that help people with mental health conditions learn to manage their own brain activity, making it easier and more effective for them to improve their mental well-being.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Drexel University NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project ID | NIH-10612484 on NIH RePORTER |
What this research studies
This research investigates how brain activity, measured through electroencephalography (EEG), can be used to create personalized neurofeedback systems for individuals with neuropsychiatric conditions. By mapping brain network interactions, the study aims to identify specific targets for treatment that can help patients learn to regulate their own brain activity. The approach seeks to make neurofeedback more accessible and effective by using EEG instead of more complex and expensive imaging techniques like fMRI. Patients will be able to engage in real-time feedback to improve their mental health outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults over 21 years old who are experiencing neuropsychiatric conditions such as depression or other mental health disorders.
Not a fit: Patients with neurological conditions that are not primarily psychiatric or those under 21 years old may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatments for mental health disorders, improving patients' quality of life.
How similar studies have performed: Previous research has shown promise in using neurofeedback for mental health treatment, but this specific approach using EEG as a substitute for fMRI is relatively novel.
Where this research is happening
Philadelphia, United States
- Drexel University — Philadelphia, United States (Active)
Researchers
- Principal investigator: Kucyi, Aaron — Drexel University
- Study coordinator: Kucyi, Aaron
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.