Development of Hardware and Software for Clinical MEG
Development of Hardware and Software for Clinical MEG
批准号:
7184328
负责人:
Norman Tepley
金额:
$56.71万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-01-01 至 2009-01-31
关键词:
AcheAreaAuditoryBrainBrain imagingBrain regionCharacteristicsClinicalCommunitiesComplexComputer information processingComputer softwareCurrent Procedural Terminology CodesDataDetectionDevelopmentDevelopmental reading disorderDiagnosticDiffusion Magnetic Resonance ImagingDisabled PersonsDiseaseDoctor of PhilosophyDyslexiaElectroencephalographyEpilepsyEpileptogenesisExcisionFiberFrequenciesGrantHearingImageImaging TechniquesImplantIndividualInternetKnowledgeLanguageLearningLearning DisordersLinkLocalizedLocationMagnetic Resonance ImagingMagnetoencephalographyMapsMigraineModalityModelingMonitorNervous System PhysiologyNeurologicNeuronsNeurosciencesNoiseOperating RoomsOperative Surgical ProceduresPatientsPharmaceutical PreparationsPharmacotherapyPhasePrincipal Component AnalysisPurposeReaderReadingRelative (related person)ResearchResearch PersonnelResolutionRouteSeizuresSemantic memorySeriesSignal TransductionSoftware ToolsSourceStimulusSurgeonSystemTechniquesTimeTissuesVisualWord ProcessingWritinganalytical toolbaseclinical applicationdensityhuman prostaglandin D2 receptorimprovedlexicalmagnetic fieldprogramsprophylacticresearch clinical testingresponsetechnique developmenttool
中文摘要
描述(由申请人提供):自HFH脑磁图实验室成立以来,我们的研究目标一直是开发硬件,软件和技术,以扩大脑磁图(MEG)的应用,作为临床诊断工具和基础神经科学研究的一种模式。随着MEG系统在美国和世界范围内的扩散,以及一些临床MEG研究的CPT代码的可用性,开发新的和更有效的临床应用,使用户能够更充分地利用这些昂贵的系统已成为我们的首要任务。因此,我们正在开发新的分析工具,并证明MEG数据包含比仅使用通常的偶极子技术更有用的临床信息。例如,我们的多分辨率聚焦与主成分分析(PCA)或奇异值分解(SVD)的整合显示出提高计算效率和识别癫痫组织高脑相干区域的能力。在计划拨款期间,这些新技术将进一步发展并应用于神经和学习障碍。在具体目标一,互操作源确认将与我们的映射技术的结果进行比较。DC-MEG将用于监测偏头痛患者的间期皮质兴奋性,以及这种兴奋性对抗偏头痛药物的反应。局灶性继发性全身性癫痫活动的测定可用于预测手术切除的成功。在具体目标二中,我们建议继续开发新的分析工具,并在经过验证后将其提供给互联网上的MEG社区。特别是,我们将通过结合ICA,频率分析和弥散张量成像(DTI)的MEG共同配准,为我们的“MEG工具”软件套件添加新功能。在具体目标三中,我们的新技术将应用于正常读者和学习障碍个体在阅读任务中皮层激活的成像差异。这些技术将用于绘制由听觉和视觉词汇刺激激活的不同皮层区域,并区分正常和阅读障碍个体的反应。这些新的成像技术提高了脑磁图的精细时间和空间分辨率,将为临床医生和研究人员提供新的非侵入性方法来研究病理和正常的神经功能。
英文摘要
DESCRIPTION (provided by applicant): The ongoing objective of our research, since the establishment of the HFH MEG Lab, has been to develop hardware, software, and techniques to expand the utility of Magnetoencephalography (MEG), both as a clinical diagnostic tool, and as a modality for basic neuroscience studies. With the proliferation of MEG sys- tems both in the U.S. and worldwide, and the availability of CPT codes for some clinical MEG studies, the development of new and more effective clinical applications to enable users to more fully exploit these costly systems has become our highest priority. Accordingly we are developing new analytical tools and demon- strating that MEG data contains much more clinically useful information than can be found using only the usual dipole techniques. For example, the integration of our Multi Resolution FOCUSS with Principal Com- ponent Analysis (PCA) or Singular Value Decomposition (SVD) shows promise of enhanced computational efficiency and the ability to identify regions of high brain coherence indicative of epileptic tissue. During the proposed grant, these new techniques will be further developed and applied to neurologic and learning dis- orders. In Specific Aim One, interoperative source confirmation will be compared to results of our mapping techniques. DC-MEG will be used to monitor interictal cortical excitability in migraine patients and how this excitability responds to anti-migraine medications. Determination of focal secondary generalized epileptic activity may be used to predict successful surgical resections. In Specific Aim Two we propose to continue the development of new analytical tools and to make them available to the MEG community on the Internet as they become validated. In particular, we will add new functionality to our "MEG Tools" software suite by incorporating ICA, Frequency Analysis, and MEG co-registration with Diffusion Tensor Imaging (DTI). In Specific Aim Three, our new techniques will be applied to imaging differences in cortical activation between normal readers and individuals with learning disorders during reading tasks. These techniques will be used to map various cortical areas activated by auditory and visual lexical stimuli, and to differentiate the re- sponses of normal and reading disabled individuals. The exquisite temporal and spatial resolution of MEG, enhanced by these new imaging techniques, will provide clinicians and researchers new noninvasive meth- ods to investigate pathological and normal neurological functioning.
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财政年份:1993
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负责人:Norman Tepley
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