SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG
NINDS - National Institute of Neurological Disorders and Stroke
About This Grant
ABSRACT: SourceSpikeNet – A biophysically grounded AI approach to spike detection in EEG Epilepsy affects approximately 3.4 million Americans, with 40% experiencing seizures despite medication and 50-60% continuing to have seizures after surgical intervention. Electroencephalogram (EEG) detection of interictal epileptiform discharges (IEDs) is crucial for diagnosis, medication selection, and surgical planning. However, current practice relies on subjective, qualitative identification of a small subset of IEDs, with significant inter-reviewer variability. State-of-the-art automated detectors suffer from high false alarm rates, creating an urgent unmet need for precise, objective IED identification. We propose SourceSpikeNet, a biophysically grounded artificial intelligence approach to IED detection that leverages known neurophysiology and electromagnetic physics to improve spatiotemporal accuracy. Our central hypothesis is that a biophysically informed AI can identify IEDs much more accurately than current methods. In Aim 1, we will characterize IED prototype timeseries patterns from 32,433 expert-annotated IEDs using inverse source modeling and self- supervised machine learning. In Aim 2, we will develop SourceSpikeNet by training a deep learning algorithm on an augmented dataset of 3,200,000 simulated spikes from 1,000 uniformly spaced cortical locations. In Aim 3, we will evaluate SourceSpikeNet's ability to detect all IEDs from 2,484 patients' continuous EEG recordings (3-7 days each) and compare comprehensive IED localization to traditional methodology. We expect that SourceSpikeNet will provide superior spatiotemporal localization of IEDs compared to current approaches, with lower false alarm rates and higher spatial resolution. The successful completion of this project will enhance the accuracy of IEDs as a biomarker for identifying seizure foci, potentially enabling higher surgical success rates and improved outcomes for epilepsy patients.
Grant Summary
SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG is a NINDS - National Institute of Neurological Disorders and Stroke grant providing up to $252K for university, nonprofit, healthcare org. Applications are due 2028-04-30 (open). Check eligibility and apply with FindGrants.
Focus Areas
Eligibility
How to Apply
Up to $252K
2028-04-30
- 1Confirm your organization is eligible for SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG from NINDS - National Institute of Neurological Disorders and Stroke, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NINDS - National Institute of Neurological Disorders and Stroke before the deadline.
Don't want to draft it yourself?
We'll draft the complete application against NINDS - National Institute of Neurological Disorders and Stroke's requirements, run a quality review, and email you a submission-ready PDF plus an editable Word doc within 5 business days. Most orders deliver in 24-48 hours. Flat $399, any grant size.
AI Requirement Analysis
Detailed requirements not yet analyzed
Have the NOFO? Paste it below for AI-powered requirement analysis.
SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG: Frequently Asked Questions
Who is eligible for the SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG?
SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG is offered by NINDS - National Institute of Neurological Disorders and Stroke and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG provide?
SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG provides up to $252K per award from NINDS - National Institute of Neurological Disorders and Stroke. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG deadline?
Applications for SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG are due 2028-04-30 (open). Because deadlines can change, verify the date with the funder, NINDS - National Institute of Neurological Disorders and Stroke, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG?
To apply for SourceSpikeNet – A Biophysically Grounded AI Approach to Spike Detection in EEG, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NINDS - National Institute of Neurological Disorders and Stroke.