Solutions for Organizing, Sharing and Making Discoveries from iEEG Data

NIH RePORTER · NIH · R01 · $465,512 · view on reporter.nih.gov ↗

Abstract

Project Summary/Abstract Direct recording of neural activity from the human brain using implanted electrodes (intracranial EEG, iEEG) is a fast-growing and high-impact technique in human neuroscience. The NIH has mandated data sharing plans, but useful sharing that promotes neuroscience discoveries from archival datasets faces many obstacles. One obstacle is difficulties in creating shareable iEEG datasets. In Aim 1, we will create new tools based on the iEEG-BIDS standard, created in 2019 to promote sharing by providing specifications for iEEG datasets. Aim 1A will create an iEEG-BIDS compliant solution for anatomical iEEG data, localizing electrodes using the pre-operative MRI and post-operative CT scans. Aim 1B will create an iEEG-BIDS compliant solution for functional iEEG data, the voltage by time data collected from each electrode as a measure of neural activity. Aim 2 will address the problem that it is currently very difficult for iEEG investigators to share the results of their iEEG analyses, and difficult for other scientists to explore them. A new tool will merge an advanced 3D Viewer designed for iEEG with the output of an investigator's existing anatomical and functional iEEG pipelines. The tool will export a single, compact package that can be shared directly with other scientists or uploaded to journals or an archive. By simply opening the package in a web browser, users will be able to interactively explore the dataset, facilitating replication, reliability, and new discoveries.

Key facts

NIH application ID
10950665
Project number
1R01MH133717-01A1
Recipient
UNIVERSITY OF PENNSYLVANIA
Principal Investigator
John F Magnotti
Activity code
R01
Funding institute
NIH
Fiscal year
2024
Award amount
$465,512
Award type
1
Project period
2024-07-18 → 2027-05-31