R01NS116504
Project Grant
Overview
Grant Description
Optimized Intracranial EEG Targeting in Focal Epilepsy Based upon Neuroimaging Connectomics
Despite recent advances in neuroimaging, approximately 2/3 of intractable epilepsy patients that undergo surgical evaluation continue to require intracranial EEG (IEEG), arguably the most invasive diagnostic test in medicine. We currently lack methods to quantitatively map noninvasive imaging measures of structure and function to IEEG. Specifically, there is a critical need to validate whole-brain noninvasive neuroimaging network-based biomarkers to guide precise placement of electrodes and translate noninvasive network neuroimaging to change the paradigms of clinical care.
The long-term goal of this proposal is to predict IEEG functional dynamics and surgical outcomes using noninvasive MRI-based measures of structure and function. Our overall objective, which is the next step toward attaining our long-term goal, is to develop open-source noninvasive imaging tools that map epileptic networks by integrating MRI and IEEG data. Our central hypothesis is that noninvasive measures of structure and function relate to and can predict the intricate functional dynamics captured on IEEG.
The central hypothesis will be tested in patients undergoing IEEG targeting the temporal lobe network by pursuing three specific aims:
1) To map the patient-specific structural connectome to IEEG seizure onset and propagation.
2) To correlate seizure onset and propagation on IEEG with network measures derived from resting-state functional MRI (rsfMRI).
3) To integrate the structural (Aim 1) and functional (Aim 2) connectome with standard qualitative clinical data to predict IEEG network dynamics and surgical outcomes.
Under the first aim, patients will undergo diffusion tensor imaging (DTI) prior to stereotactic IEEG, an IEEG method that inherently samples long-range networks. The functional IEEG network will be mapped to DTI, thus defining how seizures are constrained by the underlying structural connectome as they propagate.
Under the second aim, patients with temporal lobe epilepsy will undergo rsfMRI on 7T MRI prior to stereotactic IEEG. Functional network measures from rsfMRI and IEEG will be coregistered, and rsfMRI will be used to predict functional EEG ictal and interictal networks.
In the third aim, two models predicting IEEG network dynamics and epilepsy surgical outcomes will be created, building off of methods developed in aims 1 and 2.
The proposed research is innovative because it represents a substantive departure from the status quo by directly connecting noninvasive multimodal imaging with measures of functional network dynamics in IEEG. The proposed research is significant because it is expected that successful completion of these aims will yield personalized strategies for IEEG targeting based on noninvasive neuroimaging.
Despite recent advances in neuroimaging, approximately 2/3 of intractable epilepsy patients that undergo surgical evaluation continue to require intracranial EEG (IEEG), arguably the most invasive diagnostic test in medicine. We currently lack methods to quantitatively map noninvasive imaging measures of structure and function to IEEG. Specifically, there is a critical need to validate whole-brain noninvasive neuroimaging network-based biomarkers to guide precise placement of electrodes and translate noninvasive network neuroimaging to change the paradigms of clinical care.
The long-term goal of this proposal is to predict IEEG functional dynamics and surgical outcomes using noninvasive MRI-based measures of structure and function. Our overall objective, which is the next step toward attaining our long-term goal, is to develop open-source noninvasive imaging tools that map epileptic networks by integrating MRI and IEEG data. Our central hypothesis is that noninvasive measures of structure and function relate to and can predict the intricate functional dynamics captured on IEEG.
The central hypothesis will be tested in patients undergoing IEEG targeting the temporal lobe network by pursuing three specific aims:
1) To map the patient-specific structural connectome to IEEG seizure onset and propagation.
2) To correlate seizure onset and propagation on IEEG with network measures derived from resting-state functional MRI (rsfMRI).
3) To integrate the structural (Aim 1) and functional (Aim 2) connectome with standard qualitative clinical data to predict IEEG network dynamics and surgical outcomes.
Under the first aim, patients will undergo diffusion tensor imaging (DTI) prior to stereotactic IEEG, an IEEG method that inherently samples long-range networks. The functional IEEG network will be mapped to DTI, thus defining how seizures are constrained by the underlying structural connectome as they propagate.
Under the second aim, patients with temporal lobe epilepsy will undergo rsfMRI on 7T MRI prior to stereotactic IEEG. Functional network measures from rsfMRI and IEEG will be coregistered, and rsfMRI will be used to predict functional EEG ictal and interictal networks.
In the third aim, two models predicting IEEG network dynamics and epilepsy surgical outcomes will be created, building off of methods developed in aims 1 and 2.
The proposed research is innovative because it represents a substantive departure from the status quo by directly connecting noninvasive multimodal imaging with measures of functional network dynamics in IEEG. The proposed research is significant because it is expected that successful completion of these aims will yield personalized strategies for IEEG targeting based on noninvasive neuroimaging.
Funding Goals
(1) TO SUPPORT EXTRAMURAL RESEARCH FUNDED BY THE NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE (NINDS) INCLUDING: BASIC RESEARCH THAT EXPLORES THE FUNDAMENTAL STRUCTURE AND FUNCTION OF THE BRAIN AND THE NERVOUS SYSTEM, RESEARCH TO UNDERSTAND THE CAUSES AND ORIGINS OF PATHOLOGICAL CONDITIONS OF THE NERVOUS SYSTEM WITH THE GOAL OF PREVENTING THESE DISORDERS, RESEARCH ON THE NATURAL COURSE OF NEUROLOGICAL DISORDERS, IMPROVED METHODS OF DISEASE PREVENTION, NEW METHODS OF DIAGNOSIS AND TREATMENT, DRUG DEVELOPMENT, DEVELOPMENT OF NEURAL DEVICES, CLINICAL TRIALS, AND RESEARCH TRAINING IN BASIC, TRANSLATIONAL AND CLINICAL NEUROSCIENCE. THE INSTITUTE IS THE LARGEST FUNDER OF BASIC NEUROSCIENCE IN THE US AND SUPPORTS RESEARCH ON TOPICS INCLUDING BUT NOT LIMITED TO: DEVELOPMENT OF THE NERVOUS SYSTEM, INCLUDING NEUROGENESIS AND PROGENITOR CELL BIOLOGY, SIGNAL TRANSDUCTION IN DEVELOPMENT AND PLASTICITY, AND PROGRAMMED CELL DEATH, SYNAPSE FORMATION, FUNCTION, AND PLASTICITY, LEARNING AND MEMORY, CHANNELS, TRANSPORTERS, AND PUMPS, CIRCUIT FORMATION AND MODULATION, BEHAVIORAL AND COGNITIVE NEUROSCIENCE, SENSORIMOTOR LEARNING, INTEGRATION AND EXECUTIVE FUNCTION, NEUROENDOCRINE SYSTEMS, SLEEP AND CIRCADIAN RHYTHMS, AND SENSORY AND MOTOR SYSTEMS. IN ADDITION, THE INSTITUTE SUPPORTS BASIC, TRANSLATIONAL AND CLINICAL STUDIES ON A NUMBER OF DISORDERS OF THE NERVOUS SYSTEM INCLUDING (BUT NOT LIMITED TO): STROKE, TRAUMATIC INJURY TO THE BRAIN, SPINAL CORD AND PERIPHERAL NERVOUS SYSTEM, NEURODEGENERATIVE DISORDERS, MOVEMENT DISORDERS, BRAIN TUMORS, CONVULSIVE DISORDERS, INFECTIOUS DISORDERS OF THE BRAIN AND NERVOUS SYSTEM, IMMUNE DISORDERS OF THE BRAIN AND NERVOUS SYSTEM, INCLUDING MULTIPLE SCLEROSIS, DISORDERS RELATED TO SLEEP, AND PAIN. PROGRAMMATIC AREAS, WHICH ARE PRIMARILY SUPPORTED BY THE DIVISION OF NEUROSCIENCE, ARE ALSO SUPPORTED BY THE DIVISION OF EXTRAMURAL ACTIVITIES, THE DIVISION OF TRANSLATIONAL RESEARCH, THE DIVISION OF CLINICAL RESEARCH, THE OFFICE OF TRAINING AND WORKFORCE DEVELOPMENT, THE OFFICE OF PROGRAMS TO ENHANCE NEUROSCIENCE WORKFORCE DEVELOPMENT, AND THE OFFICE OF INTERNATIONAL ACTIVITIES. (2) TO EXPAND AND IMPROVE THE SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. TO UTILIZE THE SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM, TO STIMULATE AND FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH AND DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Philadelphia,
Pennsylvania
191044229
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 396% from $660,904 to $3,275,399.
Trustees Of The University Of Pennsylvania was awarded
Precision Epilepsy Surgery: Noninvasive Imaging Intracranial EEG Targeting
Project Grant R01NS116504
worth $3,275,399
from the National Institute of Neurological Disorders and Stroke in March 2021 with work to be completed primarily in Philadelphia Pennsylvania United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders.
The Project Grant was awarded through grant opportunity Bioengineering Research Grants (BRG) (R01 Clinical Trial Required).
Status
(Ongoing)
Last Modified 3/20/25
Period of Performance
3/1/21
Start Date
2/28/26
End Date
Funding Split
$3.3M
Federal Obligation
$0.0
Non-Federal Obligation
$3.3M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01NS116504
Transaction History
Modifications to R01NS116504
Additional Detail
Award ID FAIN
R01NS116504
SAI Number
R01NS116504-1432086885
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75NQ00 NIH National Institute of Neurological Disorders and Stroke
Funding Office
75NQ00 NIH National Institute of Neurological Disorders and Stroke
Awardee UEI
GM1XX56LEP58
Awardee CAGE
7G665
Performance District
PA-03
Senators
Robert Casey
John Fetterman
John Fetterman
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute of Neurological Disorders and Stroke, National Institutes of Health, Health and Human Services (075-0886) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,360,916 | 100% |
Modified: 3/20/25