Understanding brain activity through advanced data analysis techniques.
Dissection of spatiotemporal activity from large-scale, multi-modal, multi-resolution hippocampal-neocortical recordings.
['FUNDING_OTHER'] · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · NIH-10488900
This study is looking at new ways to understand brain activity in people with epilepsy by using advanced computer techniques, which could help improve treatments and give us better insights into how the brain works.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | NEW YORK UNIVERSITY SCHOOL OF MEDICINE (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-10488900 on ClinicalTrials.gov |
What this research studies
This research focuses on developing new analytical tools and computational frameworks to interpret complex brain activity data obtained from large-scale recordings. By utilizing advanced machine learning methods, the project aims to decode spatial and task-related information from the hippocampus and neocortex, particularly in patients with epilepsy. The goal is to create a robust analysis pipeline that can be used to better understand brain functions and improve treatment strategies for neurological conditions. The findings could enhance our understanding of how different brain states influence behavior and cognition.
Who could benefit from this research
Good fit: Ideal candidates for participation include patients with epilepsy who are undergoing intracranial ECoG recordings during memory tasks.
Not a fit: Patients without epilepsy or those not undergoing relevant brain recordings may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic and therapeutic strategies for patients with epilepsy and other neurological disorders.
How similar studies have performed: Other research has shown success in using advanced data analysis techniques to interpret brain activity, indicating that this approach has potential for significant breakthroughs.
Where this research is happening
NEW YORK, UNITED STATES
- NEW YORK UNIVERSITY SCHOOL OF MEDICINE — NEW YORK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CHEN, ZHE SAGE — NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- Study coordinator: CHEN, ZHE SAGE
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.