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Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- Brain Electrophysiology Laboratory Company, LLC
- Proposal award date
- 2022-01-01
- Contract end date
- 2022-12-31
- UEI
- JCKWC2F1NX23
- Solicitation number
- PA20-260
- Topic code
- 106
Research abstract
Abstract
The overarching goal of this project is to create software that improves the use of intracranial
EEG to qualify patients with medication-resistant epilepsy for neurosurgery. One million people
in the US suffer from continual seizures that are not controlled by medication. The current
estimate is that half of these could be treated effectively by surgical resection of the epileptic
cortical tissue, and yet the majority of them will not receive the surgery (Engel and Wiebe, 2012).
There are 200 Comprehensive Epilepsy Centers in the US that are certified to provide both the
epilepsy resection and the multimodal presurgical evaluation (clinical semiology,
neuropsychological assessment, EEG, MRI, PET, and intracranial or icEEG). A problem for this
evaluation is the software for integrating the multiple imaging and assessment modalities in the
presurgical workup to allow confidence in the neurosurgical plan. The localization of the icEEG
electrodes is often problematic because of brain shift (movement and deformation of the brain
from the preoperative imaging to the postoperative CT used for electrode position imaging).
With recent advances in dense array EEG (dEEG) with individual head conductivity models,
electrical source imaging can provide noninvasive estimates of the seizure onset zone, which
could then guide more focused and effective icEEG probes, and potentially more confident and
limited neurosurgical resections. The present SBIR research builds on our extensive experience
with icEEG electrode localization, multimodal neuroimage registration, dEEG source imaging,
and user interface design to create Sourcerer IC, a software platform optimized for bringing
multiple forms of evidence to interpret icEEG measures and improve the localization of the
seizure onset zone. The key innovations of this project are: the integration of multimodal
neuroimaging data (MRI, dwMRI, fMRI, PET) registered precisely with structural MRI in a
DICOM format for export to the neurosurgeon’s neuronavigator software; the capacity for
noninvasive dEEG source localization of spikes and seizure onset with individual head
conductivity models in preparation for icEEG electrode placement (as validation rather than
exploration); the correction of brain shift due to surgical implanting of icEEG electrodes by
registering the postoperative CT to the preoperative MRI; and perhaps most importantly, the
integration of all components of the presurgical workup within an intuitive and usable software
workflow with full quality system regulation and validation following FDA guidelines. Sourcerer
IC will build on the many years of experience with Yale’s BioImage Suite, such that physicians
and technicians access their components of the workflow through secure web interfaces, and
the networked database maintains and integrates all transactions to coordinate computational
as well as data resources for efficient completion, review, and implementation of an optimized
neurosurgical plan.
Technology keywords
Not reported
Other awards by this recipient
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Awards with the same topic code
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Research funding history
5 SBIR/STTR records share this UEI (2019–2024). Reported award amounts total $6,567,315. Reported amounts are not federal obligations.
Phases: Phase II, Phase I, Phase II – Direct to Phase II
Agencies: Department of Health and Human Services
Agency intelligence
Department of Health and Human Services
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