Projects
1fbfWe are grateful to the federal agencies, foundations, and philanthropies that make our work possible, and to the program officers, reviewers, and partners who help shape it. We are committed to advancing care for neurological disorders through innovation, infrastructure, and education — and we welcome new partnerships. To discuss funding or collaboration opportunities, please contact Nishant Sinha.
Below are details of some of the funded projects we are involved with.
Projects We Lead
Scalable methods to quantify epileptic network and guide epilepsy surgery: This NIH-NINDS funded $1.1M grant supports the development of scalable normative atlases, multimodal harmonization pipelines, and AI-informed patient stratification methods to personalize surgical planning in drug-resistant epilepsy, alongside the cloud-based epilepsy infrastructure needed to validate these methods across centers. Project Number: K99NS138680, R00NS138680 (PI: Nishant Sinha)
Neuroimaging Biomarkers of Post-Traumatic Epileptogenesis: This DOD funded $483,975 grant supports the development of longitudinal structural connectomic biomarkers and machine learning models to predict post-traumatic epilepsy after traumatic brain injury and enable patient stratification for future antiepileptogenic therapy trials. Award Number: W81XWH-22-1-0593 (PI: Nishant Sinha)
Guiding epilepsy surgery by combining non-invasive brain imaging and iEEG: This American Epilepsy Society funded $53K grant supported the development of quantitative multimodal tools to map seizure-causing brain networks from structural imaging and iEEG, to improve surgical planning, invasive electrode targeting, and outcome prediction in drug-resistant epilepsy. This project ran from 09/2022 to 09/2023. Grant Number: AES953257 (PI: Nishant Sinha)
Collaborative Projects
Pennsieve: Impactful Multimodal Data Sharing for Epilepsy Research: This NIH-NINDS-funded $4M grant supports the Pennsieve cloud platform, which underpins much of our multimodal data ecosystem. Our group contributes harmonized pipelines and containerized tools that allow epilepsy centers across the U.S. and internationally to integrate data in a standardized way. Project Number: U24NS134536 (PI: Joost Wagenaar)
STIMPACT Simulation of Therapeutic Interventions with Modulation in Progressive Aphasia using Connectomes and Digital Twins: This $250K pilot grant from the Delaware Community Foundation will support trainees from 07/2026 to 06/2028 working on developing virtual network degeneration models and multimodal digital twins to predict language outcomes and optimize tDCS treatment in logopenic primary progressive aphasia and Alzheimer’s disease. More details on Alzheimer's Disease Therapeutics Accelerator Projects (PI: Roy Hamilton)
Biomarkers to Predict Outcome from Responsive Brain Stimulation for Epilepsy: This NIH-NINDS-funded $4M grant supports the development of predictive biomarkers from intracranial EEG and clinical data to guide patient selection for responsive neurostimulation (RNS) therapy in drug-resistant epilepsy. Project Number: R33NS125568 (PI: Kathryn Davis)
Guiding epilepsy surgery using network models and Stereo EEG: This NIH-NINDS funded $2.5M grant supports the development of quantitative SEEG network tools to map epileptic networks, assess electrode sampling completeness, and guide patient-specific surgical and neuromodulation strategies in drug-resistant epilepsy. Project Number: R01NS125137 (PI: Brian Litt)
Optimized Intracranial EEG Targeting in Focal Epilepsy based upon Neuroimaging Connectomics: This NIH-NINDS funded $3.9M grant supported the development of open-source MRI-based network tools to predict invasive iEEG seizure dynamics and surgical outcomes, enabling more precise, noninvasive guidance for electrode targeting in drug-resistant epilepsy. This project ran from 03/2021 to 02/2026. Project Number: R01NS116504 (PI: Kathryn Davis)