CRSNS: Development of EEG/MEG Source Reconstruction with Fast Multipole Method
Project Number5R01EB035484-02
Contact PI/Project LeaderMAKAROFF, SERGEY N
Awardee OrganizationWORCESTER POLYTECHNIC INSTITUTE
Description
Abstract Text
This proposal entitled “Development of EEG/MEG Source Reconstruction with Fast Multipole Method” will
address the currently unmet need for significantly more accurate, near real-time EEG/MEG source
localization tools. The result will be the construction of an entirely new, high-speed, high-resolution
EEG/MEG source localization pipeline that includes: (i) field solution using the charge-based Boundary
Element Method (BEM) with Fast Multipole acceleration; (ii) inverse problem solution algorithm utilizing
the circuital reciprocity theorem and global cortical basis functions with an unlimited number of cortical
sources; (iii) precisely segmented head models and; (iv) precise MEG compatible EEG hardware,
verification and validation experiments and their documentation. If successful, the developed technology
will be adaptable to any branch of cognitive neuroscience diagnosis (EEG and MEG), providing enhanced
understanding of a patient’s response during antidepressant treatments and greater insight into overall
mental well-being.
Aim 1 Algorithm for EEG/MEG source reconstruction with fast multipole method
Aim 1A Algorithm construction and development (WPI Worcester and MPI Leipzig)
Aim 1B Preliminary results (WPI Worcester and MGH)
Aim 2 Integration with high density dry-electrode EEG system. EEG/MEG Measurements
Aim 2A Design a 256 channel MEG-compatible dry-electrode system (TU Ilmenau)
Aim 2B Perform MRI/EEG/MEG verification measurements (MPI Leipzig & TU Ilmenau)
Aim 2C Verify, modify and improve BEM-FMM based source reconstruction software (MPI Leipzig, WPI
Worcester, TU Ilmenau)
Coupling high-resolution algorithms with the finest yet robust and easy-to-use EEG hardware is one major
proposal goal. Such coupling could make an advanced high-density dry-electrode EEG very accurate.
Public Health Relevance Statement
The goals of this proposal are very directly aligned with the goals identified in the NIBIB’s Strategic Plan
for Research and relevant to unmet public health needs. Specifically:
Goal 1: Develop innovative biomedical technologies that integrate engineering with the physical and life
sciences to solve complex problems and improve health. Our work will lead to faster, more accurate,
patient-tailored evaluation of brain function, accelerating the diagnosis of neural pathologies, and enabling
NIH Spending Category
No NIH Spending Category available.
Project Terms
AccelerationAddressAffectAlgorithmsAnatomyAnxietyAreaBiological SciencesBiomedical TechnologyBoundary ElementsBrainChargeComplexComputer softwareCouplingDataDevelopmentDiagnosisDiseaseDocumentationDrynessElectrodesElectroencephalographyEngineeringEvaluationFeeling suicidalFingersFinlandGermanyGoalsHeadHealthHuman ActivitiesInstitutionInternationalLanguageLocationLymphocytic choriomeningitis virusMeasurementMeasuresMental DepressionMental HealthMethodsModalityModelingMotivationMotorNational Institute of Biomedical Imaging and BioengineeringNeuronsPathologicPathologyPatientsPopulationProblem SolvingPublic HealthPythonsReportingResearchResolutionSchoolsSourceSpeedStrategic PlanningStudentsSurfaceSystemTechnologyThumb structureTimeUniversitiesWell in selfWorkYouthanalysis pipelineanti-depressive agentscognitive neurosciencedensitydesignelectric fieldexperimental studyfinger movementgray matterhealth assessmentimprovedindexinginnovationinsightmagnetic resonance imaging/electroencephalographymedian nerveneuralneuroimagingpatient responsephysical sciencereconstructionresponsesomatosensorysource localizationspeech processingtoolundergraduate studentverification and validationvolunteeryoung adult
National Institute of Biomedical Imaging and Bioengineering
CFDA Code
286
DUNS Number
041508581
UEI
HJNQME41NBU4
Project Start Date
22-September-2023
Project End Date
31-August-2027
Budget Start Date
01-September-2024
Budget End Date
31-August-2025
Project Funding Information for 2024
Total Funding
$194,142
Direct Costs
$134,362
Indirect Costs
$59,780
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Biomedical Imaging and Bioengineering
$194,142
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5R01EB035484-02
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 5R01EB035484-02
Patents
No Patents information available for 5R01EB035484-02
Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 5R01EB035484-02
Clinical Studies
No Clinical Studies information available for 5R01EB035484-02
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History
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