CRSNS: Development of EEG/MEG Source Reconstruction with Fast Multipole Method
CRSNS:使用快速多极方法进行 EEG/MEG 源重建的开发
基本信息
- 批准号:10835137
- 负责人:
- 金额:$ 19.41万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-22 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAddressAffectAlgorithmsAnatomyAntidepressive AgentsAnxietyAreaBiological SciencesBiomedical TechnologyBoundary ElementsBrainChargeComplexComputer softwareCouplingDataDevelopmentDiagnosisDiseaseDocumentationDrynessElectrodesElectroencephalographyEngineeringEvaluationFeeling suicidalFingersFinlandGermanyGoalsHeadHealthHuman ActivitiesInstitutionInternationalLanguageLocationLymphocytic choriomeningitis virusMeasurementMeasuresMental DepressionMental HealthMethodsModalityModelingMotivationMotorNational Institute of Biomedical Imaging and BioengineeringNeuronsPathologicPathologyPatientsPopulationProblem SolvingPublic HealthPythonsReportingResearchResolutionSchoolsSourceSpeedStrategic PlanningStudentsSurfaceSystemTechnologyThumb structureTimeUniversitiesWell in selfWorkYouthanalysis pipelinecognitive neurosciencedensitydesignelectric fieldexperimental studyfinger movementgray matterhealth assessmentimprovedindexinginnovationinsightmagnetic resonance imaging/electroencephalographymedian nerveneuralneuroimagingpatient responsephysical sciencereconstructionresponsesomatosensorysource localizationspeech processingtoolundergraduate studentverification and validationvolunteeryoung adult
项目摘要
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.
这项题为“用快速多极方法重建EEG/MEG源的发展”的提案将
解决了目前尚未满足的对更准确、近实时EEG/MEG源的需求
本地化工具。其结果将是建立一个全新的,高速,高分辨率
EEG/MEG源定位管道,包括:(i)使用基于电荷的边界的场解
快速多极加速单元法(BEM);(ii)利用
回路互易定理和具有无限数量皮层的全局皮层基函数
源;(iii)精确分割的头部模型;(iv)精确的MEG兼容EEG硬件,
验证和确认实验及其文档。如果成功的话,
将适用于认知神经科学诊断(EEG和MEG)的任何分支,提供增强的
了解患者在抗抑郁治疗期间的反应,并更深入地了解
心理健康
Aim 1快速多极子方法脑电/脑磁图源重建算法
目标1A算法构建和开发(WPI Worcester和MPI Leipzig)
目标1B初步结果(WPI Worcester和MGH)
目的2与高密度干电极脑电系统集成。EEG/MEG测量
目标2A设计256通道MEG兼容干电极系统(TU Ilmenau)
目标2B执行MRI/EEG/MEG验证测量(MPI Leipzig & TU Ilmenau)
Aim 2C验证、修改和改进基于BEM-FMM的源重建软件(MPI Leipzig,WPI
Worcester,TU Ilmenau)
将高分辨率算法与最好的、鲁棒的、易于使用的EEG硬件相结合,
建议目标。这种耦合可以使先进的高密度干电极EEG非常准确。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sergey N Makaroff其他文献
Sergey N Makaroff的其他文献
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{{ truncateString('Sergey N Makaroff', 18)}}的其他基金
Charge-Based Brain Modeling Engine with Boundary Element Fast Multipole Method
采用边界元快速多极子法的基于电荷的脑建模引擎
- 批准号:
10735946 - 财政年份:2023
- 资助金额:
$ 19.41万 - 项目类别:
Brain and Human Body Modeling Conference – from Fast and Accurate Computational Modeling to Clinical Practice
脑与人体建模会议——从快速准确的计算建模到临床实践
- 批准号:
10468200 - 财政年份:2021
- 资助金额:
$ 19.41万 - 项目类别:
Brain and Human Body Modeling Conference – from Fast and Accurate Computational Modeling to Clinical Practice
脑与人体建模会议——从快速准确的计算建模到临床实践
- 批准号:
10318504 - 财政年份:2021
- 资助金额:
$ 19.41万 - 项目类别:
On-Body Passive-RFID Antenna Array and Testbed to Assess Changes in Bone Structure
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9406456 - 财政年份:2017
- 资助金额:
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